#pyspark training with real time projects

[antongordon]

Data Preparation for Machine Learning in the Cloud: Insights from Anton R Gordon

In the world of machine learning (ML), high-quality data is the foundation of accurate and reliable models. Without proper data preparation, even the most sophisticated ML algorithms fail to deliver meaningful insights. Anton R Gordon, a seasoned AI Architect and Cloud Specialist, emphasizes the importance of structured, well-engineered data pipelines to power enterprise-grade ML solutions.

With extensive experience deploying cloud-based AI applications, Anton R Gordon shares key strategies and best practices for data preparation in the cloud, focusing on efficiency, scalability, and automation.

Why Data Preparation Matters in Machine Learning

Data preparation involves multiple steps, including data ingestion, cleaning, transformation, feature engineering, and validation. According to Anton R Gordon, poorly prepared data leads to:

Inaccurate models due to missing or inconsistent data.

Longer training times because of redundant or noisy information.

Security risks if sensitive data is not properly handled.

By leveraging cloud-based tools like AWS, GCP, and Azure, organizations can streamline data preparation, making ML workflows more scalable, cost-effective, and automated.

Anton R Gordon’s Cloud-Based Data Preparation Workflow

Anton R Gordon outlines an optimized approach to data preparation in the cloud, ensuring a seamless transition from raw data to model-ready datasets.

1. Data Ingestion & Storage

The first step in ML data preparation is to collect and store data efficiently. Anton recommends:

AWS Glue & AWS Lambda: For automating the extraction of structured and unstructured data from multiple sources.

Amazon S3 & Snowflake: To store raw and transformed data securely at scale.

Google BigQuery & Azure Data Lake: As powerful alternatives for real-time data querying.

2. Data Cleaning & Preprocessing

Cleaning raw data eliminates errors and inconsistencies, improving model accuracy. Anton suggests:

AWS Data Wrangler: To handle missing values, remove duplicates, and normalize datasets before ML training.

Pandas & Apache Spark on AWS EMR: To process large datasets efficiently.

Google Dataflow: For real-time preprocessing of streaming data.

3. Feature Engineering & Transformation

Feature engineering is a critical step in improving model performance. Anton R Gordon utilizes:

SageMaker Feature Store: To centralize and reuse engineered features across ML pipelines.

Amazon Redshift ML: To run SQL-based feature transformation at scale.

PySpark & TensorFlow Transform: To generate domain-specific features for deep learning models.

4. Data Validation & Quality Monitoring

Ensuring data integrity before model training is crucial. Anton recommends:

AWS Deequ: To apply statistical checks and monitor data quality.

SageMaker Model Monitor: To detect data drift and maintain model accuracy.

Great Expectations: For validating schemas and detecting anomalies in cloud data lakes.

Best Practices for Cloud-Based Data Preparation

Anton R Gordon highlights key best practices for optimizing ML data preparation in the cloud:

Automate Data Pipelines – Use AWS Glue, Apache Airflow, or Azure Data Factory for seamless ETL workflows.

Implement Role-Based Access Controls (RBAC) – Secure data using IAM roles, encryption, and VPC configurations.

Optimize for Cost & Performance – Choose the right storage options (S3 Intelligent-Tiering, Redshift Spectrum) to balance cost and speed.

Enable Real-Time Data Processing – Use AWS Kinesis or Google Pub/Sub for streaming ML applications.

Leverage Serverless Processing – Reduce infrastructure overhead with AWS Lambda and Google Cloud Functions.

Conclusion

Data preparation is the backbone of successful machine learning projects. By implementing scalable, cloud-based data pipelines, businesses can reduce errors, improve model accuracy, and accelerate AI adoption. Anton R Gordon’s approach to cloud-based data preparation enables enterprises to build robust, efficient, and secure ML workflows that drive real business value.

As cloud AI evolves, automated and scalable data preparation will remain a key differentiator in the success of ML applications. By following Gordon’s best practices, organizations can enhance their AI strategies and optimize data-driven decision-making.

[dataengineer12345]

Azure Data Engineering Training in Hyderabad

Master Data Engineering with Azure and PySpark at RS Trainings, Hyderabad

In today's data-driven world, the role of a data engineer has become more critical than ever. For those aspiring to excel in this field, mastering tools like Azure and PySpark is essential. If you're looking for the best place to gain comprehensive data engineering training in Hyderabad, RS Trainings stands out as the premier choice, guided by seasoned industry IT experts.

Why Data Engineering?

Data engineering forms the backbone of any data-centric organization. It involves the design, construction, and management of data architectures, pipelines, and systems. As businesses increasingly rely on big data for decision-making, the demand for skilled data engineers has skyrocketed. Proficiency in platforms like Azure and frameworks like PySpark is crucial for managing, transforming, and making sense of large datasets.

Azure for Data Engineering

Azure is Microsoft's cloud platform that offers a suite of services to build, deploy, and manage applications through Microsoft-managed data centers. For data engineers, Azure provides powerful tools such as:

Azure Data Factory: A cloud-based data integration service that allows you to create data-driven workflows for orchestrating and automating data movement and data transformation.

Azure Databricks: An Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform, providing an interactive workspace for data engineers and data scientists to collaborate.

Azure Synapse Analytics: An integrated analytics service that accelerates time to insight across data warehouses and big data systems.

PySpark: The Engine for Big Data Processing

PySpark, the Python API for Apache Spark, is a powerful tool for big data processing. It allows you to leverage the scalability and efficiency of Apache Spark using Python, a language known for its simplicity and readability. PySpark is used for:

Data Ingestion: Efficiently bringing in data from various sources.

Data Cleaning and Transformation: Ensuring data quality and converting data into formats suitable for analysis.

Advanced Analytics: Implementing machine learning algorithms and performing complex data analyses.

Real-time Data Processing: Handling streaming data for immediate insights.

RS Trainings: Your Gateway to Expertise

RS Trainings in Hyderabad is the ideal destination for mastering data engineering with Azure and PySpark. Here’s why:

Industry-Experienced Trainers: Learn from IT experts who bring real-world experience and insights into the classroom, ensuring that you get practical, hands-on training.

Comprehensive Curriculum: The course covers all essential aspects of data engineering, from fundamental concepts to advanced techniques, including Azure Data Factory, Azure Databricks, and PySpark.

Hands-on Learning: Engage in extensive hands-on sessions and projects that simulate real-world scenarios, helping you build practical skills that are immediately applicable in the workplace.

State-of-the-Art Facilities: RS Trainings provides a conducive learning environment with the latest tools and technologies to ensure an immersive learning experience.

Career Support: Benefit from career guidance, resume building, and interview preparation sessions to help you transition smoothly into a data engineering role.

Why Choose RS Trainings?

Choosing RS Trainings means committing to a path of excellence in data engineering. The institute’s reputation for quality education, combined with the expertise of its instructors, makes it the go-to place for anyone serious about a career in data engineering. Whether you are a fresh graduate or an experienced professional looking to upskill, RS Trainings provides the resources, guidance, and support you need to succeed.

Embark on your data engineering journey with RS Trainings and equip yourself with the skills and knowledge to excel in the fast-evolving world of big data. Join us today and take the first step towards becoming a proficient data engineer with expertise in Azure and PySpark.

[pysparktraining]

Pyspark Training in Hyderabad

A PySpark blog can cover a wide range of topics related to this popular big data processing engine, including PySpark architecture, data processing techniques, best practices, tips and tricks, use cases, and more. PySpark blogs can also provide tutorials and step-by-step guides to help learners get started with PySpark and learn how to build and deploy PySpark applications. RS Trainings Provides Best Pyspark Training in Hyderabad

RS Trainings is a well-known Pyspark training institute in Hyderabad that provides the best PySpark training to students. Their training program covers all the essential topics and provides real-time scenarios, which helps students to gain practical experience. They have expert trainers who have real-time experience in PySpark development, and they provide the best learning experience to the students.

In addition, RS Trainings also provides 100% placement assistance to their students, which is a great advantage for those who are looking to start their career in the PySpark job market. Their comprehensive training program and placement assistance make them the best place to choose for PySpark training in Hyderabad.

Overall, a PySpark blog can provide valuable information and insights for learners who want to master this powerful big data processing engine, while RS Trainings can provide the necessary training and support to help learners build a successful career in this growing field.

The PySpark job market has been growing rapidly in recent years, as more and more companies are adopting big data technologies to manage and process large amounts of data. PySpark developers and data engineers are in high demand, as they possess the skills and knowledge required to build and maintain scalable, distributed data processing applications using the PySpark framework. Learn Pyspark Training in Hyderabad with real time projects based , like RS Training is a correct path for fill the requirement

RS Trainings provides job-oriented PySpark training in Hyderabad, which focuses on practical skills and real-time scenarios. Their training program covers all the essential topics required for a successful career in the PySpark job market, including PySpark architecture, data processing techniques, and best practices. They also provide resume preparation help and mock interview sessions to help students prepare for job interviews and stand out in the competitive job market.

By enrolling in a job-oriented PySpark training program like RS Trainings, learners can develop the skills and knowledge required to build a successful career in the PySpark Training in Hyderabad and job market. With their comprehensive training program and placement assistance, RS Trainings is the best choice for learners who want to start their career in this growing field.

[excelrsstuff]

Data Analyst Course in Delhi

The next lectures will move one step forwards and perform evaluation and visualizations on the records data that you’ve got ready. This program provides a preface to knowledge science and the kind of issues that can be handled utilizing the Pandas library. Follow the steps of installations and surroundings set up and learn to import records data from numerous sources. After this, you may be ready to organize, study, filter, and manipulate datasets. The concluding part talks about tips and tips, such as working with plots and shift capabilities. If you are looking ahead to a breakthrough into the info science business, then this Data analyst course in Delhi is a great place to take step one. Throughout the courses, you’ll gain an in-depth understanding of the process of analyzing giant datasets.

Quantitative thoughts, detail-oriented, process-oriented, and so on with the correct mix of people administration expertise are the qualities being matched to the profiles being dished out. So, individual competence meets proper training provider with proper method paves approach to illustrative careers in BA. The process of the extraction of data from a given pool of data is known as data analytics. A knowledge analyst extracts the knowledge through several methodologies like information cleansing, knowledge conversion, and information modeling. Your PMC will contact you every four weeks to debate your progress made to date, examine you’re understanding of your coaching modules, and support you with gathering evidence in your portfolio. These free online programs in data analysis will assist you to perceive issues that organizations face by exploring information in significant methods. With a strong understanding of data analysis, you’ll discover ways to organize, interpret, structure, and current knowledge, turning them into useful information necessary for making properly informed and environmentally friendly decisions. Students are given a public housing knowledge set and informed to classify each variable based on its measurement. There are multiple aspects and approaches with numerous techniques for the info evaluation. The knowledge analysis in statistics is typically divided into descriptive statistics, exploratory information analysis, and confirmatory knowledge analysis. There are many analyses that could be done through the preliminary data evaluation part. This is the primary course of knowledge evaluation where record matching, deduplication, and column segmentation are accomplished to clean the raw data from different sources. Imagine you had a clear, step-by-step path to follow to turn into a knowledge analyst. A SQL developer who earns the CCA Data Analyst course in Delhi provides certification demonstrates core analyst skills to load, rework, and mannequin Hadoop knowledge to define relationships and extract significant results from the uncooked output. It requires passing the CCA Data Analyst course Exam, a distant-proctored set of eight to 12 performance-based mostly, arms-on tasks on a CDH 5 cluster. Candidates have one hundred twenty minutes to implement a technical solution for every task. The lessons take place in the course of the weekends at the PES campus, electronic metropolis. This Program permits candidates to achieve an in-depth understanding of knowledge science and analytics techniques and tools which might be widely applied by firms. The course covers the instruments and skills desired by main firms in Data Science. Candidates shall be educated on numerous instruments and programming languages like Python, SQL, Tableau, Data Science, and Machine Learning. Participants within the course construct their knowledge via classroom lectures by the professional school and working on multiple challenging projects across numerous matters and functions in Data Science. BrainStation’s Data Science program, however, is intensive, full-time learning expertise, delivered in 12 weeks. Leading firms are hiring skilled IT professionals, making it one of the fastest-rising careers in the world. You get palms-on expertise in working with professional instruments such as R, Python, Tableau, SQL, Pig, Hive, Apache Spark & Storm, and much more. This diploma is meant to equip individuals with the survey and data skills to contribute to the coverage debates in South Africa and the world. Both the practical data abilities in addition to the theoretical understanding of the development and coverage context might be emphasized. PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and different data sources. Power BI is among the most popular Data Visualization device, and a Business Intelligence Tool. Power BI is a group of data connectors, apps, and software program providers, that are used to get data from totally different supplies, transform data, and produce stunning reports. The course is supposed to assist learners in research and choose up the tempo with the R programming language for carrying out numerous kinds of data analytics tasks. While the Pandas library is meant for carrying out real-world data analysis utilizing Python, NumPy specializes in machine learning tasks. The course can be the go-to choice for any beginner Python developer with a deep curiosity in knowledge analytics or data science. You’ll acquire the talents you want for managing, cleansing, abstracting, and aggregating information, and conducting a range of analytical research on that knowledge. You’ll acquire an excellent understanding of information constructions, database methods and procedures, and the range of analytical instruments used to undertake a range of various kinds of analysis. The qualification will help you acquire the talents you should work in a variety of roles, such as Data Analyst course in Delhi, Data Manager, Data Modeller, or Data Engineer. The software will assist data scientists and analysts in enhancing their productiveness via automated machine learning. Aggregate, filter, sort, and modify your dataset — and use tools like pivot tables to generate new insights about teams of records, corresponding to tendencies over a time period. Identify sources of error in your information, and discover ways to clear your dataset to minimize potential points. Join a lively neighborhood of over 3,000 college students, alumni, mentors, and career specialists, and get entry to exclusive events and webinars. Get to know how data can be utilized to solve enterprise issues with clever options. Claudia graduated from MIT in 2007 and has labored on knowledge-associated problems ever since, starting from automatically monitoring owls within the forest at the MIT Media Lab to being the second analyst at Airbnb. In her free time, she enjoys traveling to far-away places and has been to about 30 international locations. At ExcelR, the Data Analyst course in Delhi curriculum provides extensive knowledge of Data Collection, Extraction, Cleansing, Exploration, and Transformation with expert trainers having 10+ years of experience with 100% placement assistance. You can reach us at: Address M 130–131, Inside ABL WorkSpace, Second Floor, Connaught Cir, Connaught Place, New Delhi, Delhi 110001 Phone 919632156744 Map Url https://g.page/ExcelRDataScienceDelhi?share Base page link https://www.excelr.com/data-science-course-training Web site Url https://www.excelr.com/data-science-course-training-in-delhi

[abubakrjajja]

List Of Free Courses To Do In 2021

ASSLAMOALAIKUM !!

As I promised you guys for free courses in my last post and I noticed so many people want to learn something but they can’t afford expensive courses or they don’t know where to start. There shouldn’t be any compromise on getting yourself educated. So, here is the list of free courses for your Self Learning.

Disclaimer : These courses are for educational purpose only. It is illegal to sell someone’s courses or content without there permission. I’m not the owner of any of these courses. I’m only willing to help you and I don’t earn from this blog or any links.

All courses are in English Language.

How to Download

Download & Install uTorrent app in your Laptop or Mobile

Choose your course from the list below

Click the course title & it will download a (.torrent) file

Launch (.torrent) file and click OK

Now download will start & it’ll take time depending on your internet speed

Islam

Basics of Islamic Finance [download] [info]

Arabic of the Quran from Beginner to Advanced [download] [info]

How to read Quran in Tajweed, Quranic Arabic Course [download] [info]

Draw Islamic Geometric Patterns With A Compass And Ruler [download] [info]

Digital Marketing

The Complete Digital Marketing Course — 12 Courses in 1 [download] [info]

Ultimate Google Ads Training 2020: Profit with Pay Per Click [download] [info]

Digital Marketing Masterclass — 23 Courses in 1 [download] [info]

Mega Digital Marketing Course A-Z: 12 Courses in 1 + Updates [download] [info]

Digital Marketing Strategies Top Ad Agencies Use For Clients [download] [info]

Social Media Marketing + Agency

Social Media Marketing MASTERY | Learn Ads on 10+ Platforms [download] [info]

Social Media Marketing Agency : Digital Marketing + Business [download] [info]

Facebook Ads & Facebook Marketing MASTERY 2021 [download] [info]

Social Media Management — The Complete 2019 Manager Bootcamp [download] [info]

Instagram Marketing 2021: Complete Guide To Instagram Growth [download] [info]

How Retargeting Works–The Complete Guide To Retargeting Ads! [download] [info]

YouTube Marketing & YouTube SEO To Get 1,000,000+ Views [download] [info]

YouTube Masterclass — Your Complete Guide to YouTube [download] [info]

Video Editing + Animation

Premiere Pro CC for Beginners: Video Editing in Premiere [download] [info]

Video Editing complete course | Adobe Premiere Pro CC 2020 [download] [info]

Learn Video Editing with Premiere Pro CC for beginners [download] [info]

2D Animation With No Drawing Skills in AE [download] [info]

Maya for Beginners: Complete Guide to 3D Animation in Maya [download] [info]

After Effects — Motion Graphics & Data Visualization [download] [info]

After Effects CC 2020: Complete Course from Novice to Expert [download] [info]

Graphic Designing

Adobe Photoshop CC — Essentials Training Course [download] [info]

Photoshop CC Retouching and Effects Masterclass [download] [info]

Graphic Design Masterclass — Learn GREAT Design [download] [info]

Graphic Design Bootcamp: Photoshop, Illustrator, InDesign [download] [info]

Canva 2019 Master Course | Use Canva to Grow your Business [download] [info]

CorelDRAW for Beginners: Graphic Design in Corel Draw [download] [info]

Learn Corel DRAW |Vector Graphic Design From Scratch | 2020 [download] [info]

Digital Painting: From Sketch to Finished Product [download] [info]

The Ultimate Digital Painting Course — Beginner to Advanced [download] [info]

Graphic Design Masterclass Intermediate: The NEXT Level [download] [info]

Amazon & Dropshipping

How to Start an Amazon FBA Store on a Tight Budget [download] [info]

The Last Amazon FBA Course — [ 2020 ] Private Label Guide [download] [info]

Amazon Affiliate Marketing Using Authority Site (Beginners) [download] [info]

Amazon Affiliates Mastermind: Build Authority Sites [download] [info]

Amazon FBA Course — How to Sell on Amazon MASTERY Course [download] [info]

The Complete Shopify Aliexpress Dropship course [download] [info]

Virtual Assistant

New Virtual Assistant Business — Your Blueprint to Launch [download] [info]

Must-Have Tools for Virtual Assistants [download] [info]

Learn How To Hire and Manage Your Virtual Assistants [download] [info]

Common Virtual Assistant Interview Questions (and Answers) [download] [info]

WordPress

Wordpress for Beginners — Master Wordpress Quickly [download] [info]

Become a WordPress Developer: Unlocking Power With Code [download] [info]

How To Make a Wordpress Website -Elementor Page Builder [download] [info]

The Complete WordPress Website & SEO Training Masterclass [download] [info]

Complete WordPress Theme & Plugin Development Course [2020] [download] [info]

How to build an ecommerce store with wordpress & woocommerce [download] [info]

Website Development for Beginners in Wordpress [download] [info]

Web Design with WordPress: Design and Build Great Websites [download] [info]

Web Development + SEO

The Complete Web Developer Course 2.0 [download] [info]

Build Websites from Scratch with HTML & CSS [download] [info]

Django 3 — Full Stack Websites with Python Web Development [download] [info]

Web Development: Make A Website That Will Sell For Thousands [download] [info]

Set up a localhost Web Server for Faster Website Development [download] [info]

Website Design With HTML, CSS And JavaScript For Beginners [download] [info]

Adobe Muse CC Course — Design and Launch Websites [download] [info]

SEO 2020: Complete SEO Training + SEO for WordPress Websites [download] [info]

Complete SEO Training With Top SEO Expert Peter Kent! [download] [info]

SEO AUDIT MASTERCLASS: How to do a Manual SEO Audit in 2020 [download] [info]

Freelancing

Seth Godin’s Freelancer Course [download] [info]

Fiverr Freelancing 2021: Sell Fiverr Gigs Like The Top 1% [download] [info]

Complete Web Design: from Figma to Webflow to Freelancing [download] [info]

Freelance Bootcamp — The Comprehensive Guide to Freelancing [download] [info]

Learn Photoshop, Web Design & Profitable Freelancing [download] [info]

Start a Freelance Business: Take Back Your Freedom Now! [download] [info]

How to Dominate Freelancing on Upwork [download] [info]

Copywriting — Become a Freelance Copywriter, your own boss [download] [info]

The Freelance Masterclass: For Creatives [download] [info]

Freelance Article Writing: Start a Freelance Writing Career! [download] [info]

Copywriting: Master Copywriting A — Z | Content Writing[download] [info]

Computer Science

Computer Science 101: Master the Theory Behind Programming [download] [info]

SQL — MySQL for Data Analytics and Business Intelligence [download] [info]

Spark and Python for Big Data with PySpark [download] [info]

Learn SAP ABAP Objects — Online Training Course [download] [info]

Build Responsive Real World Websites with HTML5 and CSS3 [download] [info]

Modern HTML & CSS From The Beginning (Including Sass) [download] [info]

Java Programming Masterclass for Software Developers [download] [info]

Java In-Depth: Become a Complete Java Engineer! [download] [info]

MongoDB — The Complete Developer’s Guide 2020 [download] [info]

Complete Whiteboard Animation in VideoScribe — 5 Animations [download] [info]

The Complete React Native + Hooks Course [2020 Edition] [download] [info]

Flutter & Dart — The Complete Guide [2021 Edition] [download] [info]

Ultimate AWS Certified Solutions Architect Associate 2021 [download] [info]

Cisco CCNA 200–301 — The Complete Guide to Getting Certified [download] [info]

App Development

Mobile App Development with PhoneGap [download] [info]

Desktop Application Development Windows Forms C# [download] [info]

Python Desktop Application Development with PyQt [download] [info]

GUI Development with Python and Tkinter [download] [info]

Cross-platform Desktop App Development for Windows Mac Linux [download] [info]

The Complete Android Oreo Developer Course — Build 23 Apps! [download] [info]

The Complete Android App Development [download] [info]

Complete VB.Net Course,Beginners to Visual Basic Apps-7 in 1 [download] [info]

Learning Visual Basic .NET — A Guide To VB.NET Programming [download] [info]

Game Development

Lua Programming and Game Development with LÖVE [download] [info]

Unreal Engine C++ Developer: Learn C++ and Make Video Games [download] [info]

Complete C# Unity Game Developer 2D [download] [info]

Complete C# Unity Game Developer 3D [download] [info]

Python Bootcamp 2020 Build 15 working Applications and Games [download] [info]

RPG Core Combat Creator: Learn Intermediate Unity C# Coding [download] [info]

Make a fighting game in Unity [download] [info]

Coding

Ultimate Rust Crash Course [download] [info]

C Programming For Beginners — Master the C Language [download] [info]

Mastering Data Structures & Algorithms using C and C++ [download] [info]

C++: From Beginner to Expert [download] [info]

Lua Scripting: Master complete Lua Programming from scratch [download] [info]

PHP for Beginners — Become a PHP Master — CMS Project [download] [info]

Learn Object Oriented PHP By Building a Complete Website [download] [info]

PHP with Laravel for beginners — Become a Master in Laravel [download] [info]

Learn Python Programming Masterclass [download] [info]

Python Beyond the Basics — Object-Oriented Programming [download] [info]

Node.js, Express, MongoDB & More: The Complete Bootcamp 2021 [download] [info]

Node.js API Masterclass With Express & MongoDB [download] [info]

Engineering & Technology

Arduino Step by Step: Getting Started [download] [info]

Arduino Programming and Hardware Fundamentals with Hackster [download] [info]

Arduino Step by Step Getting Serious [download] [info]

Complete Guide to Build IOT Things from Scratch to Market [download] [info]

Introduction to Internet of Things(IoT) using Raspberry Pi 2 [download] [info]

Internet of Things (IoT) — The Mega Course [download] [info]

Automobile Engineering: Vehicle dynamics for Beginners [download] [info]

Automotive 101: A Beginners Guide To Automotive Repair [download] [info]

Mechanical Engineering and Electrical Engineering Explained [download] [info]

Basics Of PLC Programming From Zero Using LogixPro Simulator [download] [info]

Internal Combustion Engine Basics (Mechanical Engineering) [download] [info]

Deep Learning A-Z: Hands-On Artificial Neural Networks [download] [info]

Artificial Intelligence A-Z™: Learn How To Build An AI [download] [info]

Tensorflow 2.0: Deep Learning and Artificial Intelligence [download] [info]

Business & Management

Business Continuity Management System. ISO 22301 [download] [info]

The Data Science Course 2020: Complete Data Science Bootcamp [download] [info]

An Entire MBA in 1 Course:Award Winning Business School Prof [download] [info]

Brand Management: Build Successful Long Lasting Brands [download] [info]

IT Help Desk Professional [download] [info]

Ethics and Attitude in the Office [download] [info]

The Ultimate Microsoft Office 2016 Training Bundle [download] [info]

How to Sell Anything to Anyone [download] [info]

The Complete Communication Skills Master Class for Life [download] [info]

Business Ethics: How to Create an Ethical Organization [download] [info]

Others Mixed

Blogging Masterclass: How To Build A Successful Blog In 2021 [download] [info]

Blogging for a Living — Perfect Small Budget Project [download] [info]

The Complete JavaScript Course 2021: From Zero to Expert! [download] [info]

The Complete Foundation Stock Trading Course [download] [info]

Lead Generation MASTERY with Facebook Lead & Messenger Ads [download] [info]

Data Entry Course for Beginners [download] [info]

SAP WM Course on RF/Mobile Data Entry [download] [info]

The complete AutoCAD 2018–21 course [download] [info]

Complete course in AutoCAD 2020 : 2D and 3D [download] [info]

The Complete Foundation FOREX Trading Course [download] [info]

Complete Fitness Trainer Certification: Beginner To Advanced [download] [info]

Health Coaching Certification Holistic Wellness Health Coach [download] [info]

Chinese language for beginners : Mandarin Chinese [download] [info]

Learn Italian Language: Complete Italian Course — Beginners [download] [info]

Emotional Intelligence: Master Anxiety, Fear, & Emotions [download] [info]

Accounting & Financial Statement Analysis: Complete Training [download] [info]

Accounting in 60 Minutes — A Brief Introduction [download] [info]

The Complete Cyber Security Course : Hackers Exposed! [download] [info]

How To Be Successful in Network Marketing [download] [info]

Create and Sell Online Courses in Website with WordPress CMS [download] [info]

Teacher Training — How to Teach Online — Remote Teaching 1Hr [download] [info]

Sell Your Art Masterclass [download] [info]

The Ultimate Guide To Food Photography [download] [info]

Fundamentals of Analyzing Real Estate Investments [download] [info]

[intellect-minds-pte-ltd]

Find Best Job For Data Engineer in Singapore

Company Overview:

Intellect Minds is a Singapore-based company since 2008, specializing in talent acquisition, application development, and training. We are the Best Job Recruitment Agency and consultancy in Singapore serve BIG MNCs and well-known clients in talent acquisition, application development, and training needs for Singapore, Malaysia, Brunei, Vietnam, and Thailand.

Job Description: Responsibilities include understanding of Data Engineering requirements, design, development of data pipelines and framework using SQL, Python, PySpark, GCP (Dataflow, Dataproc, BigQuery). This is a technical position providing hands-on delivery role for data science projects working with a cross-functional team ensuring excellent delivery relationship.

Job Details: • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google ‘big data’ technologies. • Build processes supporting data transformation, data structures, metadata, dependency and workload management. • Work with stakeholders including the BSA, Report developers, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Additional responsibilities include troubleshooting, maintenance, and optimization or enhancement of existing processes. • Partner with engineering leads and architects to define & coordinate technical design. • Design and code reviews to ensure standards and quality level for the build • Performance tuning of data pipelines jobs to meet SLA • Prepare technical documentations on the deliverables • Identify, define and implement best practices for process improvements for SDLC management

Experiences: • Overall 8+ years’ experience in a professional software development in a data centric environment. • Must have 4 to 6 years of experience using SQL, Python and big data infrastructure such as Hadoop Eco System, HDFS, Hive • Must be hands-on and have working experience in SQL, Python and PySpark • Must have 2+ years of experience with GCP platform (Google Bigquery, Dataflow, Dataproc). • Must be well versed with Data Modeling techniques like Star & snow flake schema, how to bring efficiency in data modeling for efficient querying data for analysis, and • Working experience with real-time & stream processing systems like kafka, pub sub and NoSQL & indexing technologies. • Working experience in using ETL tool like Informatica is a big plus. • Hands-on Knowledge of Configuration Management with tools like Ansible/Chef/Puppet • Strong design skills with a proven track record of success on large/highly complex projects preferably in the area of Enterprise Apps and Integration. • Must have the ability to communicate technical issues and observations. Must have experience in cross functional domain and end to end knowledge of business and technology. • Must possess excellent verbal and written communication skills. Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables.

All successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Interested Candidates, please submit your detailed resume online.

To your success!

The Recruitment Team

Intellect Minds Pte Ltd (Singapore)

[mthrynn]

Oct. 24, 2017 — Every summer, the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, opens its doors to a new class of student researchers who work alongside staff mentors to tackle research projects that address issues at the forefront of scientific computing.

From exploring big data analysis tools to developing new high-performance computing (HPC) capabilities, many of this year’s interns had the opportunity to gain hands-on experience with some of the most powerful supercomputers in the world at DOE’s Argonne National Laboratory.

“We want our interns to have a rewarding experience, but also to leave with a better understanding of what a National Laboratory is, and what it does for the country,” said ALCF Director Michael Papka. “If we can help them to connect their classroom training to practical, real-world R&D challenges, then we have succeeded.”

This year, the ALCF hosted 39 students ranging from college freshmen to Ph.D. candidates. The students presented their project results to the ALCF community at a series of special symposiums before heading back to their respective universities. Here’s a brief overview of four of the student projects.

Power monitoring for HPC applications

Ivana Marincic, a Ph.D. student in computer science at the University of Chicago, used the ALCF’s Cray XC40 supercomputer Theta to develop a new library that monitors and controls power consumption in large-scale applications.

While tools already exist for basic power profiling, none of them are equipped for profiling applications running on multiple nodes—and ALCF computing resources can have upwards of hundreds of thousands of nodes. Traditional libraries also typically require a certain degree of expertise in the use of such tools, as well as knowledge of a particular system’s power consumption characteristics.

“The HPC community is becoming increasingly aware that the power consumption of their applications matters,” Marincic said. “My tool is designed to enable HPC users of all backgrounds to profile their applications with a few simple lines of code while also providing more options to advanced users.”

Marincic’s library, called PoLiMEr, for Power Limiting and Monitoring of Energy, exploits the power monitoring and capping capabilities on Cray/Intel systems and provides users with detailed insights into their application’s power consumption.

The library also enables users to control the power consumption of their application at runtime via power limiting. Using PoLiMEr, Marincic was able to apply a stringent power cap to memory-intensive applications, thereby saving overall power consumption without any performance losses. She will present a paper on her findings at the Energy Efficient Supercomputing (E2SC) Workshop at SC17, the International Conference for High-Performance Computing, Networking, Storage and Analysis.

For Marincic, collaboration with her ALCF mentor, computer scientist Venkat Vishwanath and members of ALCF’s Operations and Science teams, proved critical to a successful research project.

“Without this environment that fosters collaboration, inquisitiveness and helping others, I wouldn’t have been able to achieve what I did in these three months,” Marincic said.

Automated email text analysis

ALCF’s technical support team handles thousands of emails every year from users seeking assistance with computing resources, user accounts, and other issues related to their ALCF projects.

To help staff gain insights from this vast amount of email, Patrick Cunningham, a junior studying computer science at Purdue University, spent his summer developing a system that can rapidly analyze email text for keywords and phrases.

Cunningham began his project by researching relevant journal articles and investigating various machine learning and natural language processing tools and techniques. He then used Python, the Natural Language Toolkit, and the Stanford Named Entity Recognizer to build a system that is capable of email processing, tagging, keyword identification, and scoring.

“This system lays the foundation for more advanced text analysis tools and projects,” he said. “For example, it could be possible to use the system to link relevant emails together to help identify solutions to support ticket questions more quickly.”

During the course of his three-month project, Cunningham used the system to process more than 130,000 emails from the support ticket database to extract all possible words, phrases, and concepts. The data generated by his system will feed into software that allows staff to find support emails that are the most relevant to their search phrases.

“The idea behind this project was to come up with a tool that can respond to commands like ‘give me a list of all emails that mention FFTW library in the past 90 days,’” said Doug Waldron, ALCF senior data architect and Cunningham’s summer mentor. “Later this year, we plan to have software in place so that we can take advantage of the system Patrick developed.”

Developing a scalable framework using FPGAs

With the potential to provide higher performance than today’s HPC processors (CPUs and GPUs) using less power, field-programmable gate arrays (FPGAs) are a promising technology for future supercomputers. But FPGAs have yet to gain much traction in HPC because they are notoriously difficult to program.

“FPGAs represent a paradigm shift in mainstream high-performance computing that addresses three of the most important challenges on the roadmap to exascale computing: resource utilization, power consumption and communication,” said Ahmed Sanaullah, a Ph.D. student at Boston University. “The icing on the cake is that FPGAs are commercial off-the-shelf devices. Anyone can create their own clusters using FPGAs, and they scale much better than GPUs.”

Sanaullah partnered with a summer intern working in Argonne’s Mathematics and Computer Science (MCS) Division, Chen Yang, also a student at Boston University, to develop a robust and scalable FPGA framework for accelerating HPC applications.

Over the course of the summer, Sanaullah and Yang created an FPGA chip, called TRIP (TeraOps/s Reconfigurable Inference Processor). The team evaluated TRIP’s performance using the massive datasets generated from the deep neural network code CANDLE (CANcer Distributed Learning Environment), now being developed at Argonne as part of DOE’s Exascale Computing Project, a collaborative effort of the DOE Office of Science and the National Nuclear Security Administration.

“This experience gave me a lot of insight into HPC workloads and deep neural networks,” Sanaullah said. “Moving forward, I hope to incorporate this into my future projects, including my dissertation, so that my work can contribute to HPC architectures and applications in a significant and meaningful way.”

Sanaullah and Yang will present the results of this work this November at SC17. Their project was a collaborative effort between Argonne and Boston University’s Computer Architecture and Automated Design Lab. Sanaullah was mentored by ALCF computational scientist Yuri Alexeev. Chang was mentored by Kazutomu Yoshii, an MCS software development specialist.

Exploring big data visualization tools

Three undergraduates from Northern Illinois University—Myrline Sylveus, May-Myo Khine, and Marium Yousuf—teamed up to explore the possibilities of using Apache Spark, an open-source big data processing framework, for in situ (i.e., real-time) data analysis and visualization.

“With our project, we wanted to demonstrate the value of in situanalysis,” Sylveus said. “This approach allows researchers to gain insights more quickly by analyzing and visualizing data during large simulation runs.”

The team focused on defining a workflow for in situ processing of images using a combination of PySpark, the Spark Python API (application programming interface), and Jupyter Notebooks, an open-source web application for creating and sharing documents that contain live code, equations, and visualizations. They ran the Apache Spark framework on Sage, a Cray Urika-GX system housed in Argonne’s Joint Laboratory for System Evaluation.

“Hopefully, our findings will help researchers who plan to use Apache Spark in the future by providing guidance on which resources, modules, and techniques work effectively,” Khine said.

The students’ work also provided some insights that will benefit ALCF’s visualization team as they continue to explore Apache Spark as a potential in situ analysis tool for the ALCF user community.

“This summer project helped us to understand the streaming library component of Apache Spark that connects to live simulation codes,” said ALCF computer scientist Silvio Rizzi, who mentored the students along with Joseph Insley, the ALCF’s visualization team lead.

After spending their summer at the ALCF, the three students were inspired by their opportunity to work at one of the nation’s leading institutions for scientific and engineering research.

“I am more encouraged and motivated to continue reaching toward my goal of becoming part of the research field,” Yousuf said.

About Argonne National Laboratory

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

Source: Jim Collins, Argonne National Laboratory

The post ALCF Summer Students Gain Real-World Experience in Scientific HPC appeared first on HPCwire.

via Off The Wire – HPCwire

[pysparktraining]

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[intellect-minds-pte-ltd]

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