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Real-Time Data Streaming: How Apache Kafka is Changing the Game
Introduction
In today’s fast-paced digital world, real-time data streaming has become more essential than ever because businesses now rely on instant data processing to make data-driven and informed decision-making. Apache Kafka, i.e., a distributed streaming platform for handling data in real time, is at the heart of this revolution. Whether you are an Apache Kafka developer or exploring Apache Kafka on AWS, this emerging technology can change the game of managing data streams. Let’s dive deep and understand how exactly Apache Kafka is changing the game.
Rise of Real-Time Data Streaming
The vast amount of data with businesses in the modern world has created a need for systems to process and analyze as it is produced. This amount of data has emerged due to the interconnections of business with other devices like social media, IoT, and cloud computing. Real-time data streaming enables businesses to use that data to unlock vast business opportunities and act accordingly.
However, traditional methods fall short here and are no longer sufficient for organizations that need real-time data insights for data-driven decision-making. Real-time data streaming requires a continuous flow of data from sources to the final destinations, allowing systems to analyze that information in less than milliseconds and generate data-driven patterns. However, building a scalable, reliable, and efficient real-time data streaming system is no small feat. This is where Apache Kafka comes into play.
About Apache Kafka
Apache Kafka is an open-source distributed event streaming platform that can handle large real-time data volumes. It is an open-source platform developed by the Apache Software Foundation. LinkedIn initially introduced the platform; later, in 2011, it became open-source.
Apache Kafka creates data pipelines and systems to manage massive volumes of data. It is designed to manage low-latency, high-throughput data streams. Kafka allows for the injection, processing, and storage of real-time data in a scalable and fault-tolerant way.
Kafka uses a publish-subscribe method in which:
Data (events/messages) are published to Kafka topics by producers.
Consumers read and process data from these subjects.
The servers that oversee Kafka's message dissemination are known as brokers.
ZooKeeper facilitates the management of Kafka's leader election and cluster metadata.
With its distributed architecture, fault tolerance, and scalability, Kafka is a reliable backbone for real-time data streaming and event-driven applications, ensuring seamless data flow across systems.
Why Apache Kafka Is A Game Changer
Real-time data processing helps organizations collect, process, and even deliver the data as it is generated while immediately ensuring the utmost insights and actions. Let’s understand the reasons why Kafka stands out in the competitive business world:
Real-Time Data Processing
Organizations generate vast amounts of data due to their interconnection with social media, IoT, the cloud, and more. This has raised the need for systems and tools that can react instantly and provide timely results. Kafka is a game-changer in this regard. It helps organizations use that data to track user behavior and take action accordingly.
Scalability and Fault Tolerance
Kafka's distributed architecture guarantees data availability and dependability even in the case of network or hardware failures. It is a reliable solution for mission-critical applications because it ensures data durability and recovery through replication and persistent storage.
Easy Integration
Kafka seamlessly connects with a variety of systems, such as databases, analytics platforms, and cloud services. Its ability to integrate effortlessly with these tools makes it an ideal solution for constructing sophisticated data pipelines.
Less Costly Solution
Kafka helps in reducing the cost of data processing and analyzing efficiently and ensures high performance of the businesses. By handling large volumes of data, Kafka also enhances scalability and reliability across distributed systems.
Apache Kafka on AWS: Unlocking Cloud Potential
Using Apache Kafka on ASW has recently become more popular because of the cloud’s advantages, like scalability, flexibility, and cost efficiency. Here, Kafka can be deployed in a number of ways, such as:
Amazon MSK (Managed Streaming for Apache Kafka): A fully managed service helps to make the deployment and management of Kafka very easy. Additionally, it handles infrastructure provisioning, scaling, and even maintenance and allows Apache Kafka developers to focus on building applications.
Self-Managed Kafka on EC2: This is apt for organizations that prefer full control of their Kafka clusters, as AWS EC2 provides the flexibility to deploy and manage Kafka instances.
The benefits of Apache Kafka on ASW are as follows:
Easy scaling of Kafka clusters as per the demand.
Ensures high availability and enables disaster recovery
Less costly because it uses a pay-as-you-go pricing model
The Future of Apache Kafka
Kafka’s role in the technology ecosystem will definitely grow with the increase in the demand for real-time data processing. Innovations like Kafka Streams and Kafka Connect are already expanding the role of Kafka and making real-time processing quite easy. Moreover, integrations with cloud platforms like AWS continuously drive the industry to adopt Kafka within different industries and expand its role.
Conclusion
Apache Kafka is continuously revolutionizing the organizations of modern times that are handling real-time data streaming and changing the actual game of businesses around the world by providing capabilities like flexibility, scalability, and seamless integration. Whether you are deploying Apache Kafka on AWS or working as an Apache Kafka developer, this technology can offer enormous possibilities for innovation in the digitally enabled business landscape.
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Big Data Analytics Training - Learn Hadoop, Spark

Big Data Analytics Training – Learn Hadoop, Spark & Boost Your Career
Meta Title: Big Data Analytics Training | Learn Hadoop & Spark Online Meta Description: Enroll in Big Data Analytics Training to master Hadoop and Spark. Get hands-on experience, industry certification, and job-ready skills. Start your big data career now!
Introduction: Why Big Data Analytics?
In today’s digital world, data is the new oil. Organizations across the globe are generating vast amounts of data every second. But without proper analysis, this data is meaningless. That’s where Big Data Analytics comes in. By leveraging tools like Hadoop and Apache Spark, businesses can extract powerful insights from large data sets to drive better decisions.
If you want to become a data expert, enrolling in a Big Data Analytics Training course is the first step toward a successful career.
What is Big Data Analytics?
Big Data Analytics refers to the complex process of examining large and varied data sets—known as big data—to uncover hidden patterns, correlations, market trends, and customer preferences. It helps businesses make informed decisions and gain a competitive edge.
Why Learn Hadoop and Spark?
Hadoop: The Backbone of Big Data
Hadoop is an open-source framework that allows distributed processing of large data sets across clusters of computers. It includes:
HDFS (Hadoop Distributed File System) for scalable storage
MapReduce for parallel data processing
Hive, Pig, and Sqoop for data manipulation
Apache Spark: Real-Time Data Engine
Apache Spark is a fast and general-purpose cluster computing system. It performs:
Real-time stream processing
In-memory data computing
Machine learning and graph processing
Together, Hadoop and Spark form the foundation of any robust big data architecture.
What You'll Learn in Big Data Analytics Training
Our expert-designed course covers everything you need to become a certified Big Data professional:
1. Big Data Basics
What is Big Data?
Importance and applications
Hadoop ecosystem overview
2. Hadoop Essentials
Installation and configuration
Working with HDFS and MapReduce
Hive, Pig, Sqoop, and Flume
3. Apache Spark Training
Spark Core and Spark SQL
Spark Streaming
MLlib for machine learning
Integrating Spark with Hadoop
4. Data Processing Tools
Kafka for data ingestion
NoSQL databases (HBase, Cassandra)
Data visualization using tools like Power BI
5. Live Projects & Case Studies
Real-time data analytics projects
End-to-end data pipeline implementation
Domain-specific use cases (finance, healthcare, e-commerce)
Who Should Enroll?
This course is ideal for:
IT professionals and software developers
Data analysts and database administrators
Engineering and computer science students
Anyone aspiring to become a Big Data Engineer
Benefits of Our Big Data Analytics Training
100% hands-on training
Industry-recognized certification
Access to real-time projects
Resume and job interview support
Learn from certified Hadoop and Spark experts
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Final Thoughts
The demand for Big Data professionals continues to rise as more businesses embrace data-driven strategies. By mastering Hadoop and Spark, you position yourself as a valuable asset in the tech industry. Whether you're looking to switch careers or upskill, Big Data Analytics Training is your pathway to success.
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Comprehensive Cloud Computing Solutions: Optimizing Your Business with Our Expertise
Introduction to Cloud Computing
In today's rapidly evolving digital landscape, cloud computing has emerged as a cornerstone for businesses striving to achieve operational efficiency, scalability, and agility. Our cloud computing consulting and deployment services are meticulously crafted to address your unique business needs, ensuring seamless integration and optimization of cutting-edge cloud technologies. This article delves into the comprehensive suite of cloud services we offer, illustrating how they can transform your business.
Unleashing Efficiency with Cloud Application Services
Expertise in Cloud Software Development
Our cloud software development services stand out due to our extensive proficiency in developing and implementing top-tier cloud-based solutions. Leveraging the power of multi-tenant architecture, our team of experts ensures your business can scale services efficiently. Our solutions offer unparalleled scalability, cost-effectiveness, and a high return on investment (ROI), simplifying development and deployment processes.
Custom Cloud Computing Models
We offer a variety of cloud computing models tailored to meet your specific business requirements:
Public Cloud: Ideal for businesses seeking cost-effective, scalable solutions.
Private Cloud: Best suited for organizations requiring enhanced security and control.
Hybrid Cloud: Combines the benefits of both public and private clouds, offering flexibility and optimization.
Managed Cloud Services: Navigating with Confidence
Azure Managed Services
As a leading Azure Managed Service Provider (MSP), we offer co-managed services designed to optimize your Azure environment. Our certified engineers provide bespoke support, allowing you to focus on your core business activities while we manage your Azure infrastructure.
AWS Managed Services
Specializing in AWS managed services, we ensure seamless migration, operation, and optimization of your infrastructure. Our team delivers 24/7/365 proactive support, ensuring uninterrupted business operations.
Google Cloud Services
Our expertise in Google Cloud services enables smooth migration, management, and optimization. We provide proactive support to ensure your operations run flawlessly, allowing you to concentrate on innovation.
Virtual Private Cloud (VPC)
Our VPC solutions offer secure and customizable cloud environments tailored to your specific needs. With our VPC services, you maintain exclusive control over your resources, maximizing security and performance while ensuring scalability.
Advanced Cloud Development Services
Cloud Providers
We collaborate with leading cloud providers, including Amazon AWS, Google Cloud Platform (GCP), Microsoft Azure, and private cloud options, to deliver versatile and robust solutions.
Containerization & Orchestration
Utilizing tools like Docker, Kubernetes, and others, we streamline operations and reduce costs. These technologies automate deployment processes, minimize network impact, and enhance security measures through microservices across multiple clusters.
Continuous Integration/Continuous Deployment (CI/CD)
Our CI/CD services, featuring tools such as Jenkins, GitLab, and GitHub, expedite software delivery. This ensures a continuous flow of new functionality and source code to production, significantly accelerating time-to-market.
Configuration Management
Employing tools like Ansible, Chef, and Puppet, we maintain optimal performance and reliability of your systems. These tools ensure your infrastructure operates seamlessly, even amidst modifications and updates.
Database Management
We support a wide range of database providers, including MySQL, MongoDB, and PostgreSQL. These tools enable efficient data storage and retrieval, ensuring data security and compliance with regulatory standards.
Messaging and Service Providers
Our services include RabbitMQ, Apache Kafka, and Redis, which facilitate data synchronization and distributed database management. These tools handle large volumes of data efficiently, ensuring high availability and performance.
Monitoring Services
Using tools like Prometheus, Datadog, and Grafana, we implement structured systems for real-time monitoring of your cloud resources. This ensures health, performance, and availability, facilitating informed decision-making.
Infrastructure as Code (IaC)
We utilize Terraform, Pulumi, and AWS CloudFormation to automate and manage infrastructure deployment, ensuring efficient access to information and resources.
Expert Cloud Consulting Services
Our consulting services encompass comprehensive assessments and tailored strategies to optimize your cloud infrastructure. Key components include:
Cloud Readiness Assessment: Evaluating your infrastructure for cloud migration.
Architecture Design: Creating scalable and resilient cloud architectures.
Cost Optimization: Identifying opportunities to reduce spending and maximize ROI.
Cloud Governance: Establishing policies and best practices for compliance and security.
Technical Roadmap: Developing phased cloud adoption and migration plans.
Seamless Migration Services
We ensure a smooth transition of workloads, applications, and data to the cloud with minimal disruption to business operations. Key features include:
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Data Migration: Securely transferring data to the cloud.
Application Migration: Optimizing applications for cloud performance.
Testing and Validation: Ensuring the functionality and performance of migrated workloads.
Management, Monitoring, and Optimization
Our management services provide ongoing support and maintenance for your cloud infrastructure. Key components include:
24/7 Monitoring: Real-time monitoring of resources and applications.
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Continuous Improvement: Refining processes to meet evolving business needs.
Security Compliance Services
Our security compliance services ensure your cloud infrastructure adheres to industry regulations and best practices. Key aspects include:
Security Assessments: Regular evaluations to identify vulnerabilities.
Compliance Audits: Ensuring adherence to regulations like GDPR and HIPAA.
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Data Encryption: Protecting data at rest and in transit.
Threat Detection and Response: Continuous monitoring and proactive threat detection.
On-Demand Support Services
Help Desk Support
We offer 24/7 help desk services, meeting industry-standard Service-Level Agreements (SLAs). Our services include:
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Level 2 Support: Troubleshooting and problem diagnosis.
Level 3 Support: Server/system administration and problem management.
Server Support
Our experienced engineers provide server support, including setup, troubleshooting, and migration, minimizing service outage and costs.
Cyber Security Support
Our cybersecurity team monitors and responds to incidents, ensuring optimal security for your network and cloud infrastructure.
Conclusion
Our comprehensive suite of cloud computing services is designed to help your business unlock the full potential of cloud technology. From consulting and migration to management, monitoring, and security compliance, we provide end-to-end solutions that drive efficiency, scalability, and innovation. Partner with us to navigate the complexities of cloud computing and achieve unparalleled business success.
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Actual CCDAK Confluent Certified Developer for Apache Kafka exam questio...
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Online Big Data Hadoop Certification at H2K Infosys
H2K Infosys offers a comprehensive Big Data Hadoop certification course that covers all the essential topics you need to know to become a Hadoop expert. The course is taught by experienced instructors who have a deep understanding of Hadoop and its applications.
The course begins with an introduction to Big Data and Hadoop. You will learn about the different types of Big Data, the challenges of managing Big Data, and how Hadoop can be used to solve these challenges.

The course then covers the core components of Hadoop, including HDFS, MapReduce, and YARN. You will learn how to use these components to store, process, and analyze Big Data.
The course also covers the latest developments in Hadoop, such as Apache Spark and Hive. You will learn how to use these technologies to build scalable and efficient Big Data applications.
In addition to theoretical knowledge, the course also provides you with hands-on experience with Hadoop. You will work on a variety of projects that will give you the skills you need to be successful in a Hadoop job.
Upon completion of the course, you will be eligible to take the Hadoop Certified Developer Associate (CHDA) exam. This exam is a globally recognized certification that validates your skills in Hadoop.
Benefits of Big Data Hadoop Certification at H2K Infosys
There are many benefits to getting a Big Data Hadoop certification from H2K Infosys. Here are a few of the most important benefits:
Who Should Get a Big Data Hadoop Certification?
The Big Data Hadoop certification course is designed for anyone who wants to learn about Hadoop and its applications. The course is ideal for:
How to Get Started
To get started with the Big Data Hadoop certification course, you can visit the H2K Infosys website. The website has more information about the course, including the syllabus, pricing, and enrollment process.
You can also contact H2K Infosys customer support for more information.
Conclusion
If you are interested in a career in Big Data, then a Hadoop certification is a great way to get started. The Big Data Hadoop certification course from H2K Infosys will teach you the skills you need to be successful in a Big Data job.
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Apache Spark Training and its Benefits in 2020
What is Apache Spark?
Apache Spark is today one of the most influential and important technologies in the world of Big Data. It is an open cluster computing system, ultra-fast, unified analysis engine for Big Data and Machine Learning.

Since its launch, Apache Spark has been quickly adopted by companies in a wide range of industries. It has quickly become the largest open source community in big data, with more than 1,000 collaborators from more than 250 technology organizations, making programming more accessible to data scientists. Prwatech is the leading Training institute for apache spark online training Offers apache sparks online courses with our Qualified Industry Certified Experts.
APACHE SPARK BENEFITS
Speed
Spark can be 100 times faster than Hadoop for large-scale data processing by exploiting in-memory computing and other optimizations. It is also fast when data is stored on disk, and currently holds the world record for large-scale disk classification.
Easy to use
Spark has easy-to-use APIs to operate on large data sets. This includes a collection of over 100 operators to transform data and familiar data frame APIs to manipulate semi-structured data. APIs such as Java, Scala, Phyton and R. It is also known for its ease of use when creating algorithms that acquire all the knowledge of very complex data.
A unified engine
Spark comes packaged with top-level libraries, including support for SQL queries, data transmission, machine learning, and graphics processing. These standard libraries increase developer productivity and can be seamlessly combined to create complex workflows.
Apache Spark consists of:
Spark SQL : Structured and semi-structured data processing module. With this you can transform and carry out operations on RDDs or dataframes. Special for data processing.
Spark Core : Core of the framework. It is the base of libraries where the rest of the modules are supported.
Spark MLLib : It is a very complete library that contains numerous Machine Learning algorithms, both clustering, classification, regression, etc. It allows us, in a friendly way, to be able to use Machine Learning algorithms.
Spark Streaming : It is the one that allows the ingestion of data in real time. If we have a source, for example Kafka or Twitter, with this module we can ingest the data from that source and dump it to a destination. Between data intake and its subsequent dumping, we can have a series of transformations.
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Big Data Career Guide: How to Make a Successful Career in Big Data

Big Data analytics is gradually becoming important in a variety of fields, including retail, finance, and healthcare. A career in big data offers a wide range of opportunities and lucrative salaries in India and worldwide.
Wondering how to make a career in big data? It requires business acumen, technical skills, and continuous learning. Taking a big data certificate course can considerably fast-track the process. Let us discuss the various steps you can take to make a successful career in big data.
Steps on How to Make a Career in Big Data
Gain Technical Skills
To succeed in a career in big data, you need to have a solid technical foundation. Knowledge of programming languages such as Java, Python, R, and SQL is essential.
Taking a big data analytics course online might just be your answer to how to make a career in big data. You should also have an understanding of data analytics tools like Hadoop, Spark, and Apache Kafka. Numerous online courses and certifications are available to help you gain these skills.
Develop Domain Knowledge
Along with technical skills, it's important to have domain knowledge in the field you want to specialize. For instance, if you're going to work in the healthcare sector, you should have an understanding of medical terminologies, health insurance policies, and regulatory requirements.
Gain Hands-On Experience
Learning theoretical concepts is important, but it's equally crucial to gain hands-on experience. You can work on real-world projects, participate in hackathons, or contribute to open-source projects to gain practical experience.
Networking
Networking is crucial in any field, and big data is no exception. Attend conferences, workshops, and meetups to connect with industry experts and like-minded professionals. You can make a profile on LinkedIn to reach professionals in the field.
Communication Skills
Data analysis is not just about crunching numbers; it also requires the ability to communicate effectively. You need to be able to present your findings clearly and concisely to non-technical stakeholders. Developing your communication skills can help you stand out in the field.
The Bottom Line
Big data is a rapidly growing field with endless opportunities. The best start on how to make a career in big data is to take a course from Futureskills Prime, a government-backed online learning platform that provides thorough NASSCOM-certified courses on Big Data. It also offers 50% cashback incentives from the Government of India.
Reference By: https://bit.ly/3KjtR3H
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Enhance Your IT Career By Taking CCDAK Practice Exam.
Road To Success In Confluent Exam By Using CCDAK Practice Exam.
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Apache Kafka (CCDAK) Exam Questions
If you are worried about preparing for CCDAK Certification exam, PassQuestion provides you with the ultimate pathway to achieve your CCDAK certification. CCDAK exam questions are designed on the pattern of real exams so you will be able to appear more confidently in your Confluent Certified Developer for Apache Kafka exam. If you have any shortcomings to prepare for CCDAK exam then all of the weak points will be covered to ensure your success in Confluent Certified Developer for Apache Kafka Certification Examination. It will give you the best CCDAK exam questions that will automatically give you remarkable results.
Confluent Certified Developer for Apache Kafka (CCDAK)
The Confluent Certified Developer for Apache Kafka exam assesses the most critical job activities that an Apache Kafka Developer performs.The skills and knowledge certified by this examination represent a level of expertise where a Certified Developer can publish data to and subscribe to data from an Apache Kafka cluster. Passing the examination demonstrates the candidate is proficient as a Kafka Developer, is able to discuss core Kafka architectural concepts and understands Kafka's role in the modern data distribution pipeline.CCDAK covers Confluent and Apache Kafka with a particular focus on knowledge of the platform needed in order to develop applications that work with Kafka. This includes general knowledge of Kafka features and architecture, designing, monitoring, and troubleshooting in the context of Kafka, and development of custom applications that use Kafka's APIs.
Exam Details
The exam consists of 60 multiple choice questions in 90 minutes, costs $150 and can be taken on demand under remote proctored conditions. After passing the exam, the certification is valid for two years. Test item formats used in this examination are Multiple-choice and Multiple-response. Completing the certification helped you understand the different use cases for Kafka and solidify core concepts of streaming architectures in my mind.
Exam ObjectivesApplication Design - 40%
Kafka's command-line tools
Pub/Sub and streaming concepts
Kafka architecture and design decisions
Kafka APIs, configuration and metrics
Message structure, key selection (choices and factors) and metadata
System metrics
Schema management
Domain Development - 30%
Kafka Clients: Producer and Consumer key concepts and functions
Troubleshooting/debugging
Performance, throughput, latency, scaling considerations
Message ordering and delivery guarantees
Serialisation/deserialisation
Producer partition selection
Consumer offset management
Consumer groups, partition assignments, partition rebalances
Data retention strategies and implications
Topic co-partitioning
Deployment/Testing - 30%
Application deployment choices
Security
Kafka Streams features and use cases
KSQL features and use cases
View Online Confluent Certified Developer for Apache Kafka (CCDAK) Free Questions
Where are the dynamic configurations for a topic stored? A. In Zookeeper B. In an internal Kafka topic __topic_configuratins C. In server.properties D. On the Kafka broker file system Answer: A
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster? A. You can use the same broker.id as long as they have different broker.rack configuration B. Replicas for a partition are placed in the same rack C. Replicas for a partition are spread across different racks D. Each rack contains all the topics and partitions, effectively making Kafka highly available Answer: C
What is the disadvantage of request/response communication? A. Scalability B. Reliability C. Coupling D. Cost Answer: C
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=all can't produce? A. 0 B. 2 C. 1 D. 3 Answer: C
Where are KSQL-related data and metadata stored? A. Kafka Topics B. Zookeeper C. PostgreSQL database D. Schema Registry Answer: A
Where are the ACLs stored in a Kafka cluster by default? A. Inside the broker's data directory B. Under Zookeeper node /kafka-acl/ C. In Kafka topic __kafka_acls D. Inside the Zookeeper's data directory Answer: A
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The big target is a fair distribution. BitSend doesn't have a blockhalving or ponz scheme. Also in 10 year or 20 year can you can mine BSD like today.
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Transform your corporate critical data with Data Bricks
Systems are working with massive amounts of data in petabytes or even more and it is still growing at an exponential rate. Big data is present everywhere around us and comes in from different sources like social media sites, sales, customer data, transactional data, etc. And I firmly believe, this data holds its value only if we can process it both interactively and faster.

Simply put, Databricks is the implementation of Apache Spark on Azure. With fully managed Spark clusters, it is used to process large workloads of data and also helps in data engineering, data exploring and also visualizing data using Machine learning.
While working on databricks, found that analytic platform to be extremely developer-friendly and flexible with ease to use APIs like Python, R, etc. To explain this a little more, say you have created a data frame in Python, with Azure Databricks, you can load this data into a temporary view and can use Scala, R or SQL with a pointer referring to this temporary view. This allows you to code in multiple languages in the same notebook. This was just one of the cool features of it.
Evidently, the adoption of Databricks is gaining importance and relevance in a big data world for a couple of reasons. Apart from multiple language support, this service allows us to integrate easily with many Azure services like Blob Storage, Data Lake Store, SQL Database and BI tools like Power BI, Tableau, etc. It is a great collaborative platform letting data professionals share clusters and workspaces, which leads to higher productivity.
Before we get started digging Databricks in Azure, I would like to take a minute here to describe how this article series is going to be structured. I intend to cover the following aspects of Databricks in Azure in this series. Please note – this outline may vary here and there when I actually start writing on them.
How to access Azure Blob Storage from Azure Databricks
Processing and exploring data in Azure Databricks
Connecting Azure SQL Databases with Azure Databricks
Load data into Azure SQL Data Warehouse using Azure Databricks
Integrating Azure Databricks with Power BI
Run an Azure Databricks Notebook in Azure Data Factory and many more…
In this article, we will talk about the components of Databricks in Azure and will create a Databricks service in the Azure portal. Moving further, we will create a Spark cluster in this service, followed by the creation of a notebook in the Spark cluster.
The below screenshot is the diagram puts out by Microsoft to explain Databricks components on Azure:
There are a few features worth to mention here:
Databricks Workspace – It offers an interactive workspace that enables data scientists, data engineers and businesses to collaborate and work closely together on notebooks and dashboards
Databricks Runtime – Including Apache Spark, they are an additional set of components and updates that ensures improvements in terms of performance and security of big data workloads and analytics. These versions are released on a regular basis
As mentioned earlier, it integrates deeply with other services like Azure services, Apache Kafka and Hadoop Storage and you can further publish the data into machine learning, stream analytics, Power BI, etc.
Since it is a fully managed service, various resources like storage, virtual network, etc. are deployed to a locked resource group. You can also deploy this service in your own virtual network. We are going to see this later in the article
Databricks File System (DBFS) – This is an abstraction layer on top of object storage. This allows you to mount storage objects like Azure Blob Storage that lets you access data as if they were on the local file system. I will be demonstrating this in detail in my next article in this series
As a Microsoft Gold certified partner and certified Azure consultants in Sydney, Canberra & Melbourne. We have extensive experience in delivering database solutions in Azure platform. For more information, please contact us from [email protected]
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All You Need to Know about PCPP Certified Professional in Python Programming 1
PCPP Certified Professional in Python Programming 1 Certification Exam Credential setting up programmer construction web site architecture and coding applied sciences alive at application company workplace
JavaScript remains with the aid of some distance essentially the most well-known programming language amongst developers, and Python has anchored its spot in d region forward of Java, in line with a big analysis by using developer tooling maker JetBrains.
based on JetBrains survey of builders, JavaScript was used by using sixty nine% of all respondents during the past one year, and % nominated it as their fundamental programming accent.
JetBrains, a Czech-based tech enterprise, is the maker of the professional Android app programming accent, Kotlin, and tools like the Java device IntelliJ concept. Its state of Developer Ecosystem record is in keeping with solutions from developers, most of whom are knowledgeable and active.
The survey found that Python is greater universal than Java overall utilization. a complete of % pronounced the use of Python this yr, in comparison to forty nine% who stated they used Java. last months it was fifty five% to Java and fifty four% to Python. although, Java is more regularly occurring than Python as a chief language, with % reporting Java versus % for Python.
In , the properly languages that developers need to gain knowledge of encompass Python, Microsoft s JavaScript superset, book, and Google-fabricated Go.
The exact languages in bottomward order were JavaScript, HTMLCSS, SQL, Python, Java, shell scripting accent, php, book, C++, and C#.
The closing languages within the proper included C, Go, Kotlin, bound, GraphQL, swift, bittersweet, blight, groovy and MATLAB.
a captivating however no longer awesome determine is that now eighty% of developers make money working from home, in comparison to % of builders alive in the workplace in advance of the COVID- communicable.
JetBrains took a special study developer traits in massive facts. most builders don t exhaust a selected big facts belvedere, but the one belvedere that did stand out became Google Colab, which is acclimated with the aid of % of respondents.
requested where their massive statistics changed into hosted, % pronounced inside servers, whereas % pronounced it was hosted in the community. AWS dominated with a % share of exterior suppliers, followed by Google cloud at eight% and azure at %.
Unsurprisingly, Python bedeviled amongst big facts builders that utilize apache atom analytics agent, with sixty six% citation Python as the language they employ with atom, adopted by means of Java at % and Scala at %.
JetBrains found a correlation amid utilization of Jupyter notebooks and apache axle with builders who consume Google cloud. apache spark and apache Kafka were more established amongst AWS developers.
The analysis seemed on the most ordinary equipment and methods for each and every accent. For C, essentially the most prevalent IDE turned into Microsoft s visual studio code. On build techniques, essentially the most time-honored turned into CMake, followed by way of Makfiles. by means of a long way, essentially the most time-honored compiler become GCC, with % of C users nominating it as their compiler, adopted by using clang at %.
For C# builders, GCC got here out on good too, however visible studio was the proper IDE, followed by way of JetBrains addition, whereas home windows was the dominant building environment. GCC was also the good alternative for C++ builders.
most respondents seventy five% abounding college whereas seventy four% received a available degree, % completed a masters, and % went on to further postgraduate stories. simply over half fifty four% advised computer science, whereas % scholar software engineering.
The good languages discovered have been Java, adopted through C, Python, C++, and JavaScript.
JetBrains additionally requested which large originate on-line direction platforms had been the most usual. The precise alternative changed into Udemy, followed via Coursera, edX, Pluralsight, Udacity, Codecademy, baron Academy, DataCamp and Canvas.
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Dan Henry - Facebook Ads For Entrepreneurs
Dan Kennedy
Dan Kennedy - Copywriting Academy
Dan Kennedy - Fascination Marketing System
Daniel Rose
Daniel Rose - Sex God Method I
Daniel Rose - Sex God Method II
David DeAngelo
David DeAngelo - Approaching Women
David DeAngelo - Cocky Comedy
David DeAngelo - Love the Final Chapter
David DeAngelo - Lust
David DeAngelo - On Being A Man
David Mamet - Dramatic Writing
David Snyder
David Snyder - Attractivation Full
David Snyder - Covert Persuasion Intelligence
David Snyder - Killer Influence
David Snyder - Rapid Attraction Secrets
David Snyder - Vibrational Healing
David Tian
David Tian - 10 Weeks to Freedom
David Tian - Awakening
David Tian - Conversation Vortex
David Tian - Invincible
David Tian - Limitless
David Tian - The Charisma Code
David Wygant
David Wygant - 7 Second Seduction
David Wygant - Always Talk To Strangers.pdf
Deadmau5 - Electronic Music
Day Game Mastery - Attraction Formulas
DayGame
Daygame - Blueprint
Daygame - Immersion
Daygame - Effortless Infield
Daygame - Geek Get Girl
Daygame - The Yad Show
Deepak Wayne
Deepak Wayne - Bonus Material
Deepak Wayne - Calibration and Logistics
Deepak Wayne - Conversation Domination
Deepak Wayne - Deepak Infields
Deepak Wayne - Deepak's Journey
Deepak Wayne - Hardcase student transformations
Deepak Wayne - Inner Game
Deepak Wayne - Meet Women Every Day preview
Deepak Wayne - Texting and Tinder
Deepak Wayne - Ultimate Seduction Model
Deepak Wayne - Unique Concepts for Success
Deepak Wayne - USM modules AUDIO ONLY
Derek Rake
Derek Rake - Alpha Male Activator
Derek Rake - Boyfriend Destroyer System
Derek Rake - Conversational Seduction
Derek Rake - Cougar Seduction System
Derek Rake - Dark Rake Method
Derek Rake - Dark Rapport
Derek Rake - Insider Lab
Derek Rake - Manipulation Black Book
Derek Rake - MKDelta
Derek Rake - Online Dating Playbook
Derek Rake - ReSeduction
Derek Rake - Shogun Method
Derek Rake - Texting On Steroids
Derek Rake - The Barnum Manuscript
Derek Vitalio - Seduction Science
Digital Marketer - Content & Commerce Summit 2016
Don Amante - The Sensual Hunter Method
Dustin Hoffman - Acting
D-Rion Williams - Alpha Relational Dynamics
Eben Pagan - Wake Up Productive 3.0
Edward deBono - How You Can Be More Interesting
Efficient Pickup - Seduction Mind Hacks
Eric Disco - She's Six Steps Away
Eric Edgemont - Friends Into Lover
Ethercycle - Ecommerce Bootcamp
Evans Perks - Entrepreneurship
Evil Stifler - Infields
Ezra Firestone & Jason Fladlien - Operation Physical Products
Flow Genome - Flow Fundamentals 2.0
Frank Kern
Frank Kern - Client Acquisition System
Frank Kern - Inner Circle Bribe
Frank Kern - Legacy Collection
Gabrielle Moore - Naked U
Gary Halbert - Sales Letters Collection
Garry Kasparov - Chess
Gary Vaynerchuk - Building a Personal Brand
Glen Allsop - Marketing Inc V3 2016
Gordon Ramsay
Gordon Ramsay - Cooking
Gordon Ramsay - Masterclass on Restaurant Recipes
Grant Cardone
Grant Cardone - 10X Growth Con 2017
Grant Cardone - 10X Rule
Grant Cardone - Be Obsessed or Be Average
Grant Cardone - Cardone University (2016)
Grant Cardone - Make Millions In Business Video Webcast
Grant Cardone - Playbook
Grant Cardone - Rules of Success
Grant Cardone - The 10X Rule Audiobook
Greg Frost
Greg Frost - Photographic Memory
Greg Frost - Success Manager Pro
Greg Greenway
Greg Greenway - 53 Laws
Greg Greenway - Dating Solutions
Greg Greenway - Getting Physical
Greg Greenway - Project Royalty
Greg Greenway - Sex On Demand System
Greg Greenway - Social Supremacy Blueprint
GunWitch - Seduction MMA
Hans Zimmer - Film Scoring
Henry Grayson - The New Physics Of Love
Honest Signalz Academy (pfd + few videos)
Hypnosis For Inner Game
Hypnosis For Inner Game - Hypnosis Downloads.com
Hypnosis For Inner Game - Hypnosis Live
Hypnosis For Inner Game - hypnosislive
Hypnosis For Inner Game - Naturalhypnosis
Hypnosis For Inner Game - PUA Hynosis
Hypnotica
Hypnotica - Collection Of Confidence
Hypnotica - Modern Day Sexual Man
Hypnotica - The Sphinx of Imagination
Igor Ledochowski
Igor Ledochowski - Conversational Hypnosis Mastery
Igor Ledochowski - Covert Trances Hypnosis
Igor Ledochowski - Mind Bending Language Roundtable
Igor Ledochowski - Power of Conversational Hypnosis
Igor Ledochowski - The Money In Your Mind
Igor Ledochowski - The Power of Self Hypnosis
Igor Ledochowski - The YES Decks
Igor Ledochowski - World Class Hypnotic Storyteller
IN10SEC
IN10SEC - Archive.pdf
IN10SEC - October Man Sequence.pdf
IN10SEC - Secret Principles of Pleasure - A Lovers Manual of Secrets.pdf
IN10SEC - Speed Rapport.pdf
IN10SEC - Speed Rapport Workbook - Patterns and Themes.pdf
IN10SEC - Symbolic Morphology.pdf
Iris Reading
Iris Reading - Comprehension Training Course
Iris Reading - Focus Course
Iris Reading - Memory Improvement Course
Iris Reading - Mind Mapping Course
Iris Reading - Productivity Course Level 1
Iris Reading - Productivity Course Level 2
Iris Reading - Speed Reading Course for Digital Readers
Iris Reading - Speed Reading Foundation Course
Iris Reading - Speed Reading Mastery Course
James Patterson - Writing
J. D. Fuentes
J. D. Fuentes - Basic Arousal.pdf
J. D. Fuentes - Gut Impact.pdf
J. D. Fuentes - The Sexual Key.pdf
Jack Ellis
Jack Ellis - Astral Power
Jack Ellis - Becoming The Beast
Jack Ellis - Beguiled
Jack Ellis - Beyond Mind Control
Jack Ellis - Black Magic Tantra
Jack Ellis - CIA Hypnosis package
Jack Ellis - Elite Social Control
Jack Ellis - Erotic Hypnosis Syndicate
Jack Ellis - Forbidden Patterns
Jack Ellis - Hoodoo
Jack Ellis - HypnoRitual
Jack Ellis - Occult Superstar
Jack Ellis - Pimp Secrets
Jack Ellis - Power Mindwaves
Jack Ellis - Remote Viewing Mastery
Jack Ellis - Satanic Sex Secrets
Jack Ellis - Seven Gates
Jack Ellis - The Lucifer Complex
Jack Ellis - The Manson Effect
Jack Ellis - The Secrets of Psychic Power
Jack Ellis - UNITROL
Jack Ellis - 50 Shades of Seduction.pdf
Jack Ellis - Backdoor Secrets.pdf
Jack Ellis - Beyond Storytelling.pdf
Jack Ellis - Brainwashing.pdf
Jack Ellis - Confessions of A Cult Deprogrammer.pdf
Jack Ellis - Dark Yoga.pdf
Jack Ellis - Forbidden Rituals.pdf
Jack Ellis - How to Catch a Cheater.pdf
Jack Ellis - How to Catch a Liar.pdf
Jack Ellis - How to Get that One Special Girl.pdf
Jack Ellis - How to Nail Christian Girls.pdf
Jack Ellis - Hypnotic Hallucinations.pdf
Jack Ellis - Interview with Jack Ellis.pdf
Jack Ellis - Mind Rape.pdf
Jack Ellis - Mindfuckers.pdf
Jack Ellis - Occult Hypnosis.pdf
Jack Ellis - Occult Superstar.pdf
Jack Ellis - Psychic Vampires.pdf
Jack Ellis - Ritual Mind Control.pdf
Jack Ellis - Seduction Methods of the Ancient Masters.pdf
Jack Ellis - Sex Cults.pdf
Jack Ellis - Sex, Drugs and Brainwashing.pdf
Jack Ellis - Sexual Brainwashing.pdf
Jack Ellis - Staggering Seduction Mines.pdf
Jack Ellis - Subliminal Audio Mastery.pdf
Jack Ellis - Subliminal Warfare.pdf
Jack Ellis - The Casanova File.pdf
Jack Ellis - The Evil Eye.pdf
Jack Ellis - The Odysseus Code.pdf
Jack Ellis - The Psychic Self Defense Strategy.pdf
Jack Ellis - The Secret Society.pdf
Jack Ellis - The Seduction Code.pdf
Jack Ellis - Total Orgasm Power.pdf
Jack Ellis - Turn Defeat Into Victory.pdf
Jack Ellis - Ultimate Psychic Energy.pdf
Jack Johnson - Kill Your Porn & Masturbation Habit
James Clear - The Habits Masterclass
James Marshall
James Marshall - 5 Principles of Natural Seduction
James Marshall - Dating Accelerator
James Marshall - Marshall Meditation Method
Jason Capital
Jason Capital - $1K A Day Private Mastermind
Jason Capital - 17 Moves That Blow Her Fucking Mind
Jason Capital - 277 Dirty Talk
Jason Capital - 4x Energy
Jason Capital - 70 Laws
Jason Capital - Attraction God
Jason Capital - Big Dick Big Money Big Life
Jason Capital - Carefree Installation
Jason Capital - Carefree Installation System
Jason Capital - Cash Flow King
Jason Capital - Celebrity Series [VAULT]
Jason Capital - Charisma God (Attraction King)
Jason Capital - Charisma Installation System
Jason Capital - Conversation Crack
Jason Capital - Conversation God
Jason Capital - Dark Side Mind Tricks
Jason Capital - Devoted Girlfriend System
Jason Capital - Digital Millionaire Live
Jason Capital - Dominate your day
Jason Capital - Donald Trump Formulaby Jason Capital
Jason Capital - Elite Mentor Summit 2017
Jason Capital - Email Millionare
Jason Capital - EMR Tapes
Jason Capital - Girls Tell All UNCUT (SD)
Jason Capital - HardDrive
Jason Capital - Harvey Specter Formula
Jason Capital - Her Favorite Kisser
Jason Capital - Higher Status Video course
Jason Capital - Higher Status Videocourse
Jason Capital - HJGM
Jason Capital - Ice Cold System
Jason Capital - Inside Donald’s High Status Weapons - Why Donald Trump Will SMASH Hillary This November
Jason Capital - Instant Connection Conversations
Jason Capital - Jedi Mind Tricks & DSMT
Jason Capital - Live Infield Footage
Jason Capital - Magic Bag
Jason Capital - Magic Bag of Tricks
Jason Capital - Make Money Want You Collection
Jason Capital - Make Women Want You
Jason Capital - Make Women Want You Unleashed
Jason Capital - Mental Dominance
Jason Capital - Mental Dominance X-Files
Jason Capital - Million Dollar Phrases
Jason Capital - Millionaire DNA Activation System
Jason Capital - Millionaire Switch For Men
Jason Capital - Millionaire X Files
Jason Capital - Natural Charm
Jason Capital - Power Influence
Jason Capital - Power Influence System
Jason Capital - Power Positioning System
Jason Capital - Power Switch
Jason Capital - Social God (HD)
Jason Capital - Social Media God
Jason Capital - Social Proof Bible
Jason Capital - Social Switch
Jason Capital - STATUS
Jason Capital - STATUS Unleashed
Jason Capital - Storytelling God
Jason Capital - Success Installation
Jason Capital - The Capital Secret
Jason Capital - The Love Code
Jason Capital - Tony Stark Formula
Jason Capital - Torrents
Jason Capital - Videos
Jason Capital - Vinny Chase Formula by Jason Capital
Jason Capital - Word For Word Attraction System by JC
Jason Capital - 5 Body Language Secrets That Get The Girl Every Time.pdf
Jason Capital - 7 Forbidden Words That Trigger Female Obsession.pdf
Jason Julius
Jason Julius - Extreme Stamina
Jason Julius - Female Orgasm Blueprint (2009)
Jeremy Miner - 7 Figures Sales Training
Jessica J - Speak To Spark Arousal
JMULV - Occam's Razor
John Sonmez - 10 Steps To Learn Anything
Jon Sinn
Jon Sinn - Advanced Strategies for Sexualized Comfort
Jon Sinn - Breakthrough Comfort Formula
Jon Sinn - Day Game & Same Day Lays
Jon Sinn - Daygame Infield
Jon Sinn - Get Laid More Home Study Course
Jon Sinn - Opening 2.0
Jon Sinn - Secrets Of 5 Minute Chemistry
Jon Sinn - Seduction Roadmap
Jon Sinn - Stripper Code
Jon Sinn - MP3s (How To Learn Game, Instant Dates, Mastering the Fundamentals, Phone Game, Same Day Lays, Trouble Shooting Day Game)
Jonathan Altfeld - Irresistible Voice
Joshua Earp - SEO Mastery Course
Joshua Pellicer - The Tao of Badass
Junior Serrano - My CPA ATM
Justin Wayne
Justin Wayne - Conversation skills
Justin Wayne - Step by Step Seduction
Justin Wayne - The Domino Effect
Ken Burns - Masterclass on Documentary Filmmaking
Ken Wilber - Full Spectrum Mindfulness
Kenrick Cleveland
Kenrick Cleveland - Creativity Switch
Kenrick Cleveland - Da Vinci Master Switch
Kenrick Cleveland - Magical Objection Mastery
Kenrick Cleveland - Meta Level
Kenrick Cleveland - Persuasion 911
Kenrick Cleveland - Power of Being Complete
Kenrick Cleveland - Propaganda Switch
Kenrick Cleveland - Rise Above
Kenrick Cleveland - Unconscious Persuasion
Kevin Fahey - IM Traffic Facebook Masters
Kevin Spacey - Acting
Kinobody
Kinobody - Aggressive Fat Loss 2.0
Kinobody - Bodyweight Mastery
Kinobody - Greek God Muscle Building Program
Kinobody - Kinochef
Kinobody - SuperHero Bulking Program
Kinobody - Warrior Shredding Program
Kinobody - GTP-MainGuide.pdf
Kinowear - Bible
KIZEN - Infinite Off-Season
Kyle Cease
Kyle Cease - Creativity Switch
Kyle Cease - Da Vinci Master Switch
Kyle Cease - Magical Objection Mastery
Kyle Cease - Meta Level
Kyle Cease - Persuasion 911
Kyle Cease - Power of Being Complete
Kyle Cease - Propaganda Switch
Kyle Cease - Rise Above
Kyle Cease - Unconscious Persuasion
Kyle Simpson - Fronted Master - Advanced JavaScript
Learn Close Combat Training - Military Hand-To-Hand Combat
Leo Gura - Ultimate Life Purpose
Liam McRae
Liam McRae - How to Get Her Sexually Invested in Seduction
Liam McRae - Limitless Seducer
Liam McRae - Rapid Escalation
Lynda.com
Lynda.com - A Mix Engineer's Glossary of Techniques.7z
Lynda.com - A Prolific Music Producer's Workflow for Finishing Tracks.7z
Lynda.com - Ableton Live 9 for Live Performance.7z
Lynda.com - Advanced Google AdWords 2017.7z
Lynda.com - Advertising on Instagram.7z
Lynda.com - Affinity Photo Essential Training.7z
Lynda.com - After Effects CC 2018 - Editors and Post Essential Training.7z
Lynda.com - After Effects Guru - Plugins You Should Know.7z
Lynda.com - After Effects Guru - Tracking Cameras and Stabilizing Footage.7z
Lynda.com - After Effects Scripts & Tips - 2 Design Theory & Animation.7z
Lynda.com - Audio and Music Production Careers - First Steps.7z
Lynda.com - Audio Mixing Bootcamp.7z
Lynda.com - Audio Mixing Master Class.7z
Lynda.com - Audition CC 2018 Essential Training.7z
Lynda.com - Building an Integrated Online Marketing Plan.7z
Lynda.com - Building Material Design Apps on Android with React Native.7z
Lynda.com - Capture One Pro 10 - Retouching.7z
Lynda.com - Capture One Pro 10 Essential Training.7z
Lynda.com - CompTIA Security+ Cert Prep (SY0-401) - The Basics.7z
Lynda.com - Content Marketing - Blogs.7z
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Lynda.com - Content Marketing - Photos.7z
Lynda.com - Content Marketing - Podcasts and Audio.7z
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Lynda.com - Content Marketing - Staying Relevant.7z
Lynda.com - Content Marketing Foundations.7z
Lynda.com - Creating an Editorial Calendar.7z
Lynda.com - CSS Essential Training 3.7z
Lynda.com - Digital Release and Promotion Strategies for Musicians.7z
Lynda.com - EDM Production Techniques - Basslines.7z
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Lynda.com - EDM Production Techniques - Extreme Sound Mangling.7z
Lynda.com - Entrepreneurship - Raising Startup Capital.7z
Lynda.com - Facebook for Business.7z
Lynda.com - Finance Essentials for Small Business.7z
Lynda.com - Finance Foundations.7z
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Lynda.com - First Look - Java 9.7z
Lynda.com - From React to React Native.7z
Lynda.com - Game Development Foundations - Game-Related Math.7z
Lynda.com - Git Essential Training.7z
Lynda.com - Google AdWords Essential Training.7z
Lynda.com - Google Analytics Essential Training.7z
Lynda.com - Google+ for Business.7z
Lynda.com - Graphic Design Tips & Tricks Weekly.7z
Lynda.com - HTML Essential Training.7z
Lynda.com - HTML for Educators.7z
Lynda.com - HTML Structured Data - Facebook Open Graph.7z
Lynda.com - Illustrator CC 2018 Essential Training.7z
Lynda.com - Instagram for Business.7z
Lynda.com - International SEO.7z
Lynda.com - Lead Generation Foundations.7z
Lynda.com - Learning Content Marketing.7z
Lynda.com - Learning Documentary Video - 3 Editing and Post.7z
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Lynda.com - Learning Maschine 2.7z
Lynda.com - Learning React Native.7z
Lynda.com - Learning React.js (2016).7z
Lynda.com - Learning Songwriting - Ableton Live.7z
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Lynda.com - Learning Synth Programming.7z
Lynda.com - Learning Synth Programming - Beyond the Basics.7z
Lynda.com - Learning to Write Marketing Copy.7z
Lynda.com - Learning ZBrushCore.7z
Lynda.com - Local SEO.7z
Lynda.com - XML Essential Training.7z
Lynda.com - ZBrush 4R8 New Features.7z
Lynda.com - AutoCAD 2018 Essential Training.tgz
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Lynda.com - Kotlin for Java Developers.7z
Lynda.com - Learning JIRA Service Desk.7z
Lynda.com - Visual Studio Essential Training - 00 Setup and Configuration.7z
Lynda.com - Visual Studio Essential Training - 01 Exploring the Visual Studio Ecosystem.7z
Lynda.com - Visual Studio Essential Training - 02 Getting Comfortable with the IDE.7z
Lynda.com - Visual Studio Essential Training - 03 Exploring Projects and Solutions.7z
Lynda.com - Visual Studio Essential Training - 05 Code Editors.7z
Lynda.com - Visual Studio Essential Training - 09 Unit Tests.7z
Lynda.com - 20 Unofficial Rules of Songwriting.7z
Lynda.com - Ableton Live - Producing Electronic Music.7z
Lynda.com - Ableton Live 9 Essential Training.7z
Lynda.com - Advanced EDM Mixing.7z
Lynda.com - After Effects Scripts & Tips - 1 Animation Techniques.7z
Lynda.com - Amazon Web Services - Analysis.7z
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Lynda.com - An Insider's Guide to Today's Music Biz - 1 The Big Picture.7z
Lynda.com - An Insider's Guide to Today's Music Biz - 2 Making Great Music.7z
Lynda.com - An Insider's Guide to Today's Music Biz - 3 Treating Your Career as a Business.7z
Lynda.com - An Insider's Guide to Today's Music Biz - 4 Building a Professional Team.7z
Lynda.com - An Insider's Guide to Today's Music Biz - 6 Marketing and Promotion.7z
Lynda.com - Android App Development Quick Start.7z
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Lynda.com - AutoCAD - Express Tools Workflow.7z
Lynda.com - AutoCAD 2018 Essential Training.7z
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Lynda.com - Balancing Work and Life.7z
Lynda.com - Building an In-House Photo Studio.7z
Lynda.com - Business Foundations.7z
Lynda.com - Business Storytelling with C.C. Chapman.7z
Lynda.com - C Essential Training.7z
Lynda.com - C# Essential Training - 1 Syntax and Object Oriented Programming.7z
Lynda.com - Career Clinic - Developer Insights.7z
Lynda.com - Cert Prep - AWS Certified SysOps Administrator.7z
Lynda.com - Code Clinic - C.7z
Lynda.com - Content Marketing - Videos.7z
Lynda.com - Creating a Business Plan.7z
Lynda.com - Creating Your First Android App with Kotlin.7z
Lynda.com - Design the Web - HTML Background Video.7z
Lynda.com - Effective Listening.7z
Lynda.com - Excel Statistics Essential Training - 1.7z
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Lynda.com - Facebook Marketing - Advanced Advertising.7z
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Lynda.com - Photoshop CC 2018 Essential Training - The Basics.7z
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Lynda.com - Remixing a Song in Logic Pro.7z
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Lynda.com - Rigging a Cartoon Character in Maya.7z
Lynda.com - SOLIDWORKS - Importing Geometry From Other Applications.7z
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Lynda.com - Writing - The Craft of Story.7z
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Lynda.com - Maya - Advanced Modeling.7z
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Lynda.com - SharePoint 2016 - Installation and Configuration.7z
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Lynda.com - Write Think and Act Like a Professional Songwriter.7z
Life Loaded - Abundance Program
Love Systems
Love Systems - Beyond Words
Love Systems - Charisma Decoded
Love Systems - Gentleman's Guide To Online Dating
Love Systems - Love Systems Ebooks
Love Systems - Love Systems Interview Series 01-70
Love Systems - Relationship Management
Lukas Resheske - Copywriting Mentorship Program
Magic Leone - How to talk to Women (2017)
Manish Leone - Silent Seduction
Margaret Atwood - Masterclass on Writing
Mark Cunningham
Mark Cunningham - Beyond Seduction
Mark Cunningham - Building A Better Girlfriend
Mark Cunningham - Hypnotic Awakenings
Mark Hyman - Broken Brain Docu-series
Mark Manson
Mark Manson - Approach Women Program
Mark Manson - Connection Program
Mark Manson - Dating & Relationship Course
Mark Manson - Daygame Model
Mark Manson - Fearless Dating
Mark Manson - Masculine Power Now
Mark Manson - Models
Mark Manson - Overcome Anxiety
Mark Manson - Sexual Confidence Program
Mark Manson - The Nerds Guide to Being Confident
Mark Manson - The Newbie Guide
Mark Manson - The Subtle Art of Not Giving a Fuck
Matt Artisan - PickUpArtist Academy Course
Matt Evans - Apples Of Eden
Maxwell Maltz - Psycho-Cybernetics
Mehow - Infield Exposed!
Mel Robbins - The 5 Second Rule (Audiobook)
Melanie Evans - Narcissistic Abuse Recovery Program
Michael Breen
Michael Breen - Advanced Language Patterns
Michael Breen - Conversational Trance
Michael Breen - Habit Hacking
Michael Pilinski
Michael Pilinski - She's Yours For The Taking.pdf
Michael Pilinski - Without Embarassment.pdf
Michael Spencer - Monster Confidence System
Mike Haines - The Domination Principle
Mike Koenigs
Mike Koenigs - Consult and Profit (2016)
Mike Koenigs - GoLive and Profit
Mike Wright - Elixir of Eros
Mindvalley
Mindvalley - Become Limitless
Mindvalley - Quantum Jumping
MozCon 2016 Videos (11Gb)
Mira Nair - Masterclass on Independent Filmmaking
Mr. X - Lost Tapes
Mystery
Mystery - Mystery Method - The Venusian Arts Handbook
Mystery - The Mystery Method - How to Get Beautiful Women Into Bed.pdf
Mystery - Venusian Arts - Revelation.pdf
Natural Lifestyle - Natural Lifestyles Podcast
Neil Patel
Neil Patel - Advanced Consulting Program
Neil Patel - Advanced Marketing Program
Neil Strauss
Neil Strauss - Emergency
Neil Strauss - The Game
Neil Strauss - The Truth - An Uncomfortable Book About Relationships
Neil Strauss - The StyleLife Challenge.pdf
New Alpha Education - The Huge Load Formula
Niche Authority Empire - Local Profit Breakthrough Bonus
Nick Krauser - Day Game Mastery
Paul Janka
Paul Janka - Closing.pdf
Paul Janka - Janka Method.pdf
Paul Janka - Text Game.pdf
Peter Diamandis - Xponential Advantage
Peter Parks - DNA Wealth Blueprint 2.0
Pickup 101
Pickup 101 - Body Language
Pickup 101 - Charismatic Conversations
Pickup 101 - Spy Cam
Pick Up Artist PUA Forums (2008)
Pick Up Artist PUA Training
Pick Up Artist PUA - Texts That Guarantee Sex
Pick Up Artist PUA - MPUA University
Pick Up Artist PUA - Stealth Attraction
Rachel Rofe - The Low Hanging System
Ramit Sethi
Ramit Sethi - How To Talk To Anybody
Ramit Sethi - Mental Mastery
Ramit Sethi - Zero to Launch
Reboot Blueprint - Overcome Porn-induced ED
Rob Wiser - M.A.C.K. Tactics
Robin Sharma
Robin Sharma - Personal Mastery Academy
Robin Sharma - Your Absolute Best Year Yet
Roger Love
Roger Love - Set Your Voice Free
Roger Love - The Perfect Voice
Roger Love - Vocal Power
Rollo Tomassi - The Rational Male
Roosh V
Roosh V - Bang - More Lays in 60 Days
Roosh V - Day Bang - How to Casually Pick up Girls During the Day
Ross Jeffries
Ross Jeffries - How To Get The Women You Desire Into Bed
Ross Jeffries - How To Lay Girls
Ross Jeffries - LA99 Speed Seduction
Ross Jeffries - Nail Your Inner Game
Ross Jeffries - Secrets Of Speed Seduction
Ross Jeffries - Transcript
RSD - Real Social Dynamics (coaches: Alex, Brad, Glenn, Jeffy, Julien, Luke, Madison, Max, Ozzie, Papa, Tim, Tyler)
Ryan Deiss
Ryan Deiss - Content & Commerce Summit 2016
Ryan Deiss - Content Marketing Mastery
Ryan Deiss - Market Research Blueprint
Ryan Deiss - The Launch Grid
Ryan Deiss - Traffic & Conversion Summit 2016
Ryan Deiss - Traffic & Conversion Summit 2017
Ryan Magin
Ryan Magin - Bad Boy Unleashed
Ryan Magin - Handsome Guy Secrets
Sam Ovens - The Consulting Blueprint
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DevOps Support
Technical Skills: • Experience with virtual infrastructure and support (VMWare/AWS). • Proficient with a terminal in a Linux or Window environment. • Experience with development / CI applications such as Jenkins, Ansible, GitHub, etc. • Proficiency in managing systems within multiple sites including fail-over redundancy. • VM performance monitoring, capacity planning and redundancy planning • Server Hardware configuration, installation, and maintenance experience • CI/CD technologies such as Jenkins, TeamCity, Ansible, Puppet, Chef • Apache technologies: Hadoop, HDFS, ELK, Spark, Tableau, Zookeeper, Kafka, Cassandra, PostgreSQL, etc MustHave: • Linux in a virtualized environment • Experience with deployment of applications/code. Good to Have: • Knowledge of networking concepts. • Understanding of Internet security best practices. • Familiar with Linux/Windows. • Active Directory and Windows Server administration is a plus. Minimum Qualifications: • Bachelor's degree in computer science/engineering, information sciences technology • Minimum of 5-7 years of IT/engineering experience. • 1 year in a 24x7 support environment. Certifications: • AWS experience and certification(s) a plus. • AWS Certified Solutions Architect, SysOps Admin, or Advanced Networking. Reference : DevOps Support jobs Source: http://jobrealtime.com/jobs/technology/devops-support_i4095
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ETL with Kafka
“ETL with Kafka” is a catchy phrase that I purposely chose for this post instead of a more precise title like “Building a data pipeline with Kafka Connect”.
TLDR
You don’t need to write any code for pushing data into Kafka, instead just choose your connector and start the job with your necessary configurations. And it’s absolutely Open Source!
Kafka Connect
Kafka
Before getting into the Kafka Connect framework, let us briefly sum up what Apache Kafka is in couple of lines. Apache Kafka was built at LinkedIn to meet the requirements that message brokers already existing in the market did not meet – requirements such as scalable, distributed, resilient with low latency and high throughput. Currently, i.e. 2018, LinkedIn is processing about 1.8 petabytes of data per day through Kafka. Kafka offers a programmable interface (API) for a lot of languages to produce and consume data.
Kafka Connect
Kafka Connect has been built into Apache Kafka since version 0.9 (11/2015), although the idea had been in existence before this release, but as a project named Copycat. Kafka Connect is basically a framework around Kafka to get data from different sources in and out of Kafka (sinks) into other systems e.g. Cassandra with automatic offset management, where as a user of the connector you don’t need to worry about this, but rely on the developer of the connector.
Besides that, in discussions I have often come across people who were thinking that Kafka Connect was part of the Confluent Enterprise and not a part of Open Source Kafka. To my surprise, I have even heard it from a long-term Kafka developer. That confusion might be due to the fact that if you google the term Kafka Connect, the first few pages on Google are by Confluent and the list of certified connectors.
Kafka Connect has basically three main components that need to be understood for a deeper understanding of the framework.
Connectors are, in a way, the “brain” that determine how many tasks will run with the configurations and how the work is divided between these tasks. For example, the JDBC connector can decide to parallelize the process to consume data from a database (see figure 2). Tasks contain the main logic of getting the data into Kafka from external systems by connecting e.g. to a database (Source Task) or consuming data from Kafka and pushing it to external systems (Sink Task). Workers are the part that abstracts away from the connectors and tasks in order to provide a REST API (main interaction), reliability, high availability, scaling, and load balancing.
Standalone
Kafka connect can be started in two different modes. The first mode is called standalone and should be used only in development because offsets are being maintained on the file system. This would be really bad if you were running this mode in production and your machine was unavialable. This could cause the loss of the state, which means the offset is lost and you as a develeoper don’t know how much data has been processed.
# connnect-standalone.properties offset.storage.file.filename=/tmp/connect.offsets
Distributed
The second mode is called distributed. There, the configuration, state and status are stored in Kafka itself in different topics which benefit from all Kafka characteristics such as resilience and scalability. Workers can start on different machines and the group.id attribute in the .properties file will eventually form the Kafka Connect Cluster which can be scaled up or down.
# connnect-distributed.properties group.id=connect-cluster config.storage.topic=connect-configs offset.storage.topic=connect-offsets status.storage.topic=connect-status
So let’s look in the content of the pretty self-explanatory topic use in the configuration file:
// TOPIC => connect-configs {"properties": {"connector.class":"c.e.t.k.c.twitter.TwitterSourceConnector", "twitter.token":"XXXX","tasks.max":"1","track.terms":"frankfurt", "task.class":"c.e.t.k.c.twitter.TwitterSourceTask", "twitter.secret":"XXX","name":"twitter-source","topic": "twitter", "twitter.consumersecret":"XXXXXX", "twitter.consumerkey":"XXXXX"}} {"tasks":1} {"state":"STARTED"} // TOPIC => connect-offsets {"tweetId":968476484095610880} {"tweetId":968476527108263936} // TOPIC => connect-status {"state":"RUNNING","trace":null,"worker_id":"connect:8083", "generation":2} {"state":"UNASSIGNED","trace":null,"worker_id":"connect:8083", "generation":2} {"state":"RUNNING","trace":null,"worker_id":"connect:8083", "generation":3}
The output shown here of the messages are just the values, the key of the message is used to identify the different connectors.
Interaction pattern
There is also a different interaction pattern normally between the standalone and distributed mode – in a non-production environment where you just want to test out a connector, for example, and you want to set manually the offset of your choice. You can start the standalone mode with passing in the sink or source connector that you want to use, e.g. bin/kafka-connect config/connect-standalone.properties config/connect-file-source.properties config/other-connector.properties.
On the other hand, you can start the Kafka Connect worker in the distributed mode with the following command: bin/kafka-connect config/connect-distributed.properties. After that, you can list all available connectors, start, change configurations on the fly, restart, pause and remove connectors via the exposed REST API of the framework. A full list of supported endpoints can be found in the offical Kafka Connect documentation.
Example
So let’s have a closer look at an example of a running data pipeline where we are getting some real time data from Twitter and using the kafka-console-consumer to consume and inspect the data.
Here is the complete example shown in the terminal recording: Github repository. You can download and play around with the example project.
Conclusion
In this blog post, we covered the high-level components that are the building blocks of the Kafka Connect framework. The latter is a part of the Apache Kafka Open Source version that allows data engineers or business departments to move data from one system to another without writing any code via Apache Kafka’s great characteristics, of which we barely scratched the surface in this post. So happy connecting…
The post ETL with Kafka appeared first on codecentric AG Blog.
ETL with Kafka published first on https://medium.com/@koresol
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Google Protobuf with examples and exercises. Code in Java Go Python. Say Goodbye to JSON & XML. Pre-req to gRPC
What you’ll learn
Write simple and complex .proto files
Practice Exercises to Confirm the Learnings
Leverage Imports and Packages appropriately
Generate Code using `protoc` in any language
Code in Java with Protocol Buffers
Understand how Data Evolution works for Protobuf
Learn about advanced Protocol Buffers concepts
Requirements
Some programming background (Java, Python or Go for example)
Previous experience with other formats such as XML or JSON is preferred
Description
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Java Programming with Protocol Buffers: Write your Protocol Buffers Data in Java
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Size: 1.45 GB
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