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Which Career Should I Choose — Hadoop Admin or Spark Developer?

Today’s IT job market is revolving around Big data analytics, 60% of the highest paid jobs direct to Big data careers. However, the job market is ever changing in IT industry and organizations look for well-honed staffs. Hence, if you are looking for a career in Big data, you will be happy to know that Big data market is growing rapidly not only in IT sector but also in banking, marketing, and advertising sectors.

As per the statistics, there will be almost 50,000 vacancies related to Big data are currently available in different business sectors of India. Hadoop is a vast framework covering Hadoop administration and programming areas. It demands skills as Spark developer, Hadoop administration etc and opens up the horizon for a programmer and a non-programmer at the same time. Moreover, whether you are a fresher or experienced, you can step into Big data careers with proper training and certifications.

Which Big Data Career is Suitable for You?

We can answer this question from many angles.

Big data careers can be directed in two main streams –

Hadoop administration

Hadoop programmer

Hadoop administration is open to all in Big data careers. Whether you are a database administrator, non-programmer or a fresher you can explore this area. Moreover, if you are already in Big data careers and well acquainted with Hadoop ecosystem, Hadoop administration will add a feather in your cap. Whereas if you are not familiar with any programming languages like Java, Python, exploring Big data careers in Hadoop programming may be a little challenge for you. However, with proper training and practice, you can flourish Big data careers as a Spark developer easily. If you want to know more specifically what the job responsibilities of a Hadoop admin and a Hadoop programmer keep on reading the next sections. It is always easier to validate your position with the right information and data points.

What does a Hadoop Admin do?

With the increased adoption of Hadoop, there is a huge demand for Hadoop administrators to handle large Hadoop clusters in the organizations. A Hadoop admin performs a strong job role, he acts as the nuts and bolts of the business. A Hadoop admin is not only responsible to administrate manage Hadoop clusters but also manage other resources of the Hadoop ecosystem. His duties involve handling installation and maintenance of Hadoop clusters, performing an unaffected operation of Hadoop clusters, and manage overall performance.

Responsibilities of Hadoop Admin

Installation of Hadoop in Linux environment.

Deploying and maintaining a Hadoop cluster.

Ensuring a Hadoop cluster is up and running all the time

To decide the size of the Hadoop cluster based on the data to be stored in HDFS.

Creating or removing a new node in a cluster environment.

Configuring NameNode and its high availability

Implement and administer Hadoop infrastructure on an ongoing basis.

To deploy new and required hardware and software environments for Hadoop. In addition to that working on expanding existing environments.

Creating Hadoop users including Linux users for different Hadoop ecosystem components and testing the access. Moreover, as a Hadoop administrator, you need to set up Kerberos principals

Performance tuning in Hadoop clusters environment and also for Map Reduce.

Screening of Hadoop cluster performances

Monitoring connectivity and security in the cluster environment.

Managing and reviewing log files.

File system management.

Providing necessary support and maintenance for HDFS.

Performing necessary backup and recovery jobs in Hadoop

Coordinating with the other business teams like infrastructure, network, database, application, and intelligence to ensure high data quality and availability.

Resource management.

Installing operating system and Hadoop updates when required. Furthermore, collaborating with application team for such installations.

As a Hadoop admin working as Point of Contact for Vendor communications. 

Troubleshooting

Hence, keeping in mind the above points you must possess the following skills to achieve Big data careers as Hadoop admin.

Required Skills for Hadoop Administration

Hadoop runs on Linux. Hence, you should have excellent working knowledge of LINUX

Good experience in shell scripting

Good understanding of OS levels like process management, memory management, storage management and resource scheduling.

Good hold on configuration management.

Basic knowledge of networking.

Knowledge of automation tools related to installation.

Knowledge of cluster monitoring tools

Programming knowledge of core java is an added advantage but not mandatory.

Good knowledge of networking

Good understanding of Hadoop ecosystem and its components like Pig, Hive, Mahout, etc.

What does a Hadoop Developer do?

Hadoop’s programming part is handled through Map Reduce or Spark. However, Spark is going to replace Map Reduce in near future. Hence, if you want to be a Spark developer, your first and foremost job responsibility should be understanding data. Big data careers are all about handling with the big chunk of data. Hence if you want to stand out as a developer you should understand data and its pattern. Unless you are familiar with data it will be hard for you to get a meaningful insight out of those data chunk. Furthermore, you can foresee the possible results out of those scattered chunks of data.

In a nutshell, as a developer, you need to play with data, transform it programmatically, and decode it without destroying any information hidden in the data. In addition to that, it is all about programming knowledge. You will receive either unstructured or a structured data and after cleaning through various tools will need to process those in the desired format. However, this is not the only job that you have to do as a Spark developer. There are many other jobs to do on daily basis.

Responsibilities of Spark Developer

Loading data using ETL tools from different data platforms into Hadoop platform.

Deciding file format that could be effective for a task.

Understanding the data mapping i.e. Input-output transformations.

Cleaning data through streaming API or user-defined functions based on the business requirements.

Defining Job Flows in Hadoop.

Creating data pipelines to process real-time data. However, this may be streaming and unstructured data.

Scheduling Hadoop jobs.

Maintaining and managing log files.

Hand holding with Hive and HBase for schema operations.

Working on Hive tables to assign schemas.

Deploying HBase clusters managing them.

Working on pig and hive scripts to perform different joins on datasets

Applying different HDFS formats and structure like to speed up analytics. For example Avro, Parquet etc.

Building new Hadoop clusters

Maintaining the privacy and security of Hadoop clusters.

Fine tuning of Hadoop applications.

Troubleshooting and debugging any Hadoop ecosystem at runtime.

Installing, configuring and maintaining enterprise Hadoop environment if required

Required Skills for Spark Developer

From the above-mentioned job responsibilities, you must have gained some overview of required skills you must possess as a Hadoop developer. Let’s look into the list to get a comprehensive idea.

A clear understanding of each component of Hadoop ecosystem like HBase, Pig, Hive, Sqoop, Flume, Oozie, etc.

Knowledge of Java is essential for a Spark developer.

Basic knowledge of Linux and its commands

Excellent analytical and problem-solving skills.

Hands on knowledge of scripting languages like Python or Perl.

Data modeling skills with OLTP and OLAP

Understanding of data and its pattern

Good hands-on experience of java scheduling concepts like concurrency and multi-threading programming.

Knowledge of data visualizations tools like Tableau.

Basic database knowledge of SQL queries and database structures.

Basic knowledge of some ETL tools like Informatica.

Salary Trend in the Market for Hadoop Developer and Administrator

The package does not vary much for different positions in Big Data. The average salary for a Hadoop admin is around $123,000 per year whereas for a Spark developer it could be $110,000. However, salary should not be the prime concern while choosing the Big Data careers. Because with experience it will increase automatically. Moreover, if you obtain a Hadoop certification it will give you an extensive knowledge along with a future scope in your Big data careers with an amazing salary.

Job Trend in the Market for Big data

This is an obvious fact that market demands for developers are more than the administrator in Big data careers. A developer can take over the job of a Hadoop administrator whereas an admin can’t play the role of a developer unless he has adequate programming knowledge. However, with the huge and complex production environment, now companies need dedicated Hadoop administrators.

Conclusion

If you are a programming savy then definitely Spark developer would be an easy transition and right fit for you. However, if you are a software administrator and want to continue to this role then go for Hadoop administration. Finally, the choice is solely up to you and your knack towards the Big Data careers you are looking for your future.

A good Training, Certifications in Big Data and 100% dedication can make anything possible. Remember one day you started from scratch!

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[datalake-solutions-blog]

What are Data Lake Solutions? How does it work for Business Strategies

A data lake is regarded as the centralized repository by which it is possible to store unstructured and structured data at different scales. It is possible to store the data without the requirement to structuring the data. It also helps in running various kinds of analytics, which range from visualization to dashboard, to the processing of big data, machine learning, and real time analytics, for the guidance of better and effective decisions.

Benefits of data lake solution

Business firms which are known to fetch the business value from the data are going to beat the competitive edge. Studies reveal the fact that implementation of data lake can lead to a better growth in the organic revenue. 

The leaders are capable of doing latest kinds of analytics such as machine learning over different sources such as data from social media, click streams, long files, as well as internet connected devices which are known to be stored in the data lake. 

It plays a vital role in the identification and implementation of opportunities which facilitate better and faster growth of the business by providing a boost to the productivity of the business, retaining the users, maintaining of the devices. It also plays a vital role in making informed decisions for the business.

Round the clock availability of data

With the aid of data lake solution, it is possible to ensure that the employees, regardless of their designation is capable of getting access to the data. It is referred to as data democratization. 

Take an example where at present, only the upper management in the organization is authorized to collect different kinds of data for seeking an understanding of the things, prior to taking any kind of vital decision. With the aid of Data Lake, it is possible to make the necessary data available to different levels of the employees, regardless of their designation or level. 

In case you are a member of the admin department, you will have every access to the admin data, related to the unused stationery, and used stationery, to name a few. In addition to this, you can get access to the data, which you intend to ignore. Data Lake boasts of an immense processing power which is useful to the business organization in fetching top quality of data.

Decision analysis in real time

Data lake solutions have earned a high reputation in reaping the benefits of larger quantity of consistent data along with deep learning algorithm for the arrival at the real time decision analytics.

Support to SQL as well as other different languages

Conventional data warehouse technologies bestow support to the SQL which is ideal for analytics. You require more alternatives for the analysis of data in the advanced use cases. Big Data Lake provides different options along with language support for the objective of analysis. It also comes with Hawk/Impala/Hive which bestows support to SQL.

In addition to this, it is equipped with specific features which are useful in taking different kinds of advance requirements. Say, for example, you possess PIG for the purpose of machine learning for the analysis of data flow and you can make use of Spark MLlib.

Versatile

A data lake is capable of storing both unstructured and structured data from a wide assortment of resources. Also, it is capable of storing multimedia, logs, XML, chat, sensor data, binary, social data as well as people data.

Scalable

Data lakes play a vital role in providing scalability which involve a reduced cut off from the pocket.

Also Read: Data Warehousing – Traditional vs Cloud!

Schema flexibility

For the traditional schema, it is a prerequisite to have data in the structured format. The traditional products, present in the data warehouse is known to be schema based. For analytics, it can be a glitch as the data should be analyzed in the raw form. 

With the aid of Hadoop Data Lake, it is possible to be schema free. You can also come up with a plethora of schemas for similar data. Thus, it short, it is useful in the separation of schema from the data which is certainly a good option for the analytics.

Resolving traditional challenges of warehouse

At present, the users of business depend on content repositories as well as diverse applications for bestowing support to their daily work as well as strategic goals. This results in higher demand, more effective and faster access to data, as well as analytics at the fingertips of the end users.

However, complicated database skills are required for Business Intelligence applications and traditional data warehouses for getting access to the data. Several days or hours may be consumed for the retrieval of data which are required for the analysis from the administrators of the data warehouse. Beside this, the proprietary data warehouses are useful in bringing a reduction in the flexibility and scalability.

High Performing data lake solution

Data Lake is considered to be the repository of the enterprise wide raw data. It is also combined with big data as well as other search engines. Data Lake is known to bring together data from different resources owing to which it becomes searchable. It helps in maximizing the analytics, discovery and reporting of different capabilities for the end users.

Data lake solutions have earned a high reputation for the data richness. Thus, it is capable of storing as well as processing unstructured and structured data from different types, multiple sources, which are inclusive of JSON, text, XML, video, image, and audio. 

Search is regarded as a universal tool to find information. Thus, it is likely that end users can receive the specific data, which they were looking for in no time with the aid of search engine, without any kind of SQL language.

In addition to this, open source is known to have zero licensing costs which help the system in scaling with the growth of the data. Data Lake works in conjugation with the data warehouse for ensuring an integrated data strategy. Data lake solutions work for implementation of the most effective business strategies which help in enhancing the bottom line of the business. If you’re making any drastic changes or improvements at your product or software, doesn’t it make sense to go with a company like Indium Software - Leading Data Warehouse Solution Provider.

Thanks and Regards,

Gracesophia

[simransain123-blog]

Data Analytics Training Institute In South Delhi

The business was never a cake walk and is made up of lots of information, data and other abilities. Professionals and students need to maintain up-to-date with technological advances and match the pace. Sorting and monitoring Big Data, Data Science, Python, Php for instance, needs sufficient qualified man authority.

There are institutes that have begun providing Big Data and Hadoop Training if sources are to be trusted. , These trainings are being sought by both experts and newbie learners for their career improvement.

Why are Big Data and Hadoop Training significant in this article and where can these classes be used? Well, to begin with, Big Data is a terminology that explains an enormous amount of data.

Companies prefer to analyse this information and obtain all the ideas that can lead them to take stronger choices and make the correct approach for company movements. Big Data thus plays a significant role in the growth of that specific organisation for any organisation. At the same moment, Hadoop is an open source software platform to collect information and run multiple hardware apps.

Hadoop is one of the most effective sources offering enormous data storage of various data types. For Data Analytics Institute in Saket This open source platform has a huge processing power and is capable of controlling unlimited synchronized employment

Looking for practice in Big Data training? Then you landed on the correct article. Several organisations have begun to offer various Hadoop classes for Hadoop Developer, Hadoop Admin and Hadoop Data Analytics based on distinct sources. Enrollment can, therefore, be accomplished in accordance with the preferred fields and professional requirements.

All you need to do is simply contact the institute and ask for your preferred courses, and these short-term strategic professional courses will be the best way to shape your career graph. For communication purposes, the majority of these organisations have their own Live Support and Drop a Query, A Big Data and Hadoop Training is the most important and if you're in Delhi NCR you can also search for Big Data and Hadoop Training to improve communication and travel.

[uniquesystemskills]

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UNIQUE System Skills India was incorporated in the year 2008, Since then we have provided our technical services to several Fortune 500 companies worldwide with a presence in India & the USA. Our company is committed to maintaining a culture of integrity, diversity, and ethics throughout the organization and its associated partners. UNIQUE System Skills LLC provides excellent services to its clients and customers for their staffing solutions and training needs. We are proud to take the role of a young, dynamic, and high-level executive recruitment consultant that is committed to superior quality performance with a high rate of placements all around the GLOBE. This makes UNIQUE System skills the best placement consultancy in Pune.

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BigData Hadoop

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Data Science with Python

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This course covers basic and Advance concepts related to Salesforce admin. Also, some extra special features will be covered in this course.

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Python

Python is a general-purpose, versatile and popular programming language. It’s great as a first language because it is concise and easy to read, and it is also a good language to have in any programmer’s stack as it can be used for everything from web development to software development and scientific applications.

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Core Java + Advance Java

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Software Testing (Manual + Automation)

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[multisoft12]

8 Reasons To Choose Big Data and Hadoop Training for Your Career Growth

Today we have come up with the key reasons to pursue Hadoop certification training. This Hadoop certification course caters to wide audience areas, including Data architects, Data Scientists, Data integration architects, Data analysts, Decision makers, and Hadoop administrators. It requires a basic understanding of computers, SQL, and elementary programming skills in Python. This course introduces Hadoop Distributed File system (HDFS), Hadoop, and MapReduce. It is essential for professionals to understand the power of Big Data. You will be preparing for handling heterogeneous data coming from different sources and developing distributed processing of large data sets across clusters of computers and administering Hadoop. Throughout this course, industry experts will enable you to deal with structured, and unstructured, communication records, log files, audio files, pictures, and videos simultaneously. 

It will help you know how Hadoop fits into the real world

It will teach you how to use Hadoop I/O to write MapReduce programs

It will help you to get acquainted with the concepts of MapReduce and HDFS

It will prepare you to set up the Hadoop cluster and administer

It will help you in dealing with Hbase implementation, installation, and services

It will help you in using Sqoop in controlling the import and consistency

It will prepare you to work with Hive for querying and managing large datasets

It will help you to develop MapReduce applications to solve the problems

Hadoop is used to store data and run applications on clusters of commodity hardware. This open-source software framework provides enables enterprises to store any kind of data, gives them enormous processing power, and helps them to handle virtually limitless concurrent tasks or jobs. It will help you grab jobs with high salary structures. Big data Hadoop training opens a plethora of job options, including Assistant Manager HR & Admin, Senior Executive- HR/Admin, Executive Operations (HR, Admin & Accounts), AWS Administrator, Back Office Administrator, SCCM Administrator L3, Linux Administrator, and Accounts and Admin Assistant.  

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[marketinsightshare]

Hadoop Market - Forecast (2022-2027)

Hadoop Market is analysed to grow at a CAGR of 14.3% during the forecast 2022-2027 from $35.2 Billion in 2021. Hadoop is an open source software platform which is developed for scalable and distributed computing of large volume of data utilzing java runtime environment. It provides high performance and cost-effective analysis of Big Data generated by the enterprises through digital platforms and offers data discovery and visualization, social media analytics, distributed file system, hypertext transfer protocol and other enterprise applications of various both unstructured and structured data types utilizing shell scripts and java archive. With the increasing deployment of cloud-based solutions and its integration with internet of things (IoT) tend to be a major driving factor for the growth of Hadoop Market size during the forecast period. However in certain use cases, According to PR Newswire report, more than half of the Fortune 50 companies adopted Hadoop by 2012. In 2021, this figure has grown to more than 4 in 5 companies. However, this number is expected to stabilize over the forecast period. Hadoop is slowly becoming outdated with the advent of disruptive tech like cloud computing. For instance, SAS, a multinational developer of analytics software created a best-in-class hybrid cloud analytics solution with its Red Hat which aimed to accelerate customer adoption of analytics across various enterprises with its integration with existing cloud and IoT solutions. This partnership tends to accelerate the Hadoop industry for various enterprise applications during the forecast period.Report CoverageThe report: “Hadoop Industry Outlook – Forecast (2022-2027)”, by Industry ARC covers an in-depth analysis of the following segments of the Hadoop Market Report.By Components: Hadoop Solutions (Packaged Software, Managed Software, Application Software, Performance Monitoring Software) and Services (Consulting & Development Services, Training & Support Services and Admin & Managed Services).By Operation: Local/Standalone Mode, Pseudo Distributed Mode, Fully Distributed ModeBy Offering Type: Data Discovery and Visualization, Distributed File System, Social Media Analytics, Hypertext Transfer Protocol and OthersBy Usage Type: Single Usage Platform, Multi-Purpose PlatformBy Organization Size: Small & Medium Enterprises (SMEs) and Large Enterprises.By Deployment Mode: Hybrid, On-cloud and In-Premises.By End-Use Industry: Banking, Finance Services and Insurance (BFSI), Retail, Government & Public Sector, Healthcare, IT & Telecommunication, Manufacturing, Transportation & Logistics and Others.By Geography: North America (U.S., Canada and Mexico); Europe (U.K., Germany, Italy, France, Spain, Russia, Rest of Europe); APAC (China, Japan, South Korea, India, Australia, Rest of APAC); South America (Brazil, Argentina, Rest of Americas); Row (Middle East & Africa).Key TakeawaysIncreasing deployment of cloud-based solutions across various industries for optimizing industrial digitalization is analysed to significantly drive the Hadoop Market during the forecast period 2022-2027.Data Discovery and Visualization are analysed to hold highest share 37.4% in 2021 owing to surge in the demand of business intelligence (BI) solutions across various enterprises.IT & Telecommunication industry is analysed to hold the highest market share 30.9% during the forecast period owing to the large amount of data generated across this vertical which propels the demand of Hadoop solutions for efficient working across the enterprise.North America is analysed to hold the highest share at 33.9% in 2021 owing to the increasing IT industry requirements and rising integration of hybrid platform technologies across various industries.Global Hadoop Market Share, By Region, 2021 (%)

For More Details on This Report - Request for Sample Hadoop Market Segment Analysis - By OfferingBy Offering, the Hadoop Market Report is segmented into Data Discovery and Visualization, Distributed File System, Social Media Analytics, Hypertext Transfer Protocol and Others. Data Discovery and Visualization are analysed to be the highest growing segment with a CAGR of 17.2% among other offerings of Hadoop Market during the forecast period 2022-2027 owing to the increase in the demand of business intelligence solutions across various enterprises. With the advancement in technologies, businesses across the globe are majorly turning to visualization-based data discovery solutions. The growing trend toward visualization-based data discovery tools is worth exploring by any organization that seeks to derive more value from Big Data. The potential business benefits are significant and data governance practices can be used to help ensure the safe transition. These benefits tend to drive the market growth of Hadoop market for Data discovery and visualization application, further driving its market growth. For instance, In June 2020, Cloudera and IBM entered into a partnership for bringing AI solutions and advanced data analytics to organizations on the Apache Hadoop ecosystem which are aimed to offer better data analytics and visualization solution in accelerating the decision-making process.Hadoop Market Segment Analysis – By End-Use IndustryBy End-use Industry, the Hadoop Market Report is segmented into Banking, Finance Services and Insurance (BFSI), Retail, Government & Public Sector, Healthcare, IT & Telecommunication, Manufacturing, Transportation & Logistics and Others. Healthcare industry is analysed to be the highest growing segment with a CAGR of 16.3% among other industries of Hadoop Market during the forecast period 2022-2027 owing to the growing demand of efficient and smooth functioning cloud-based solutions in this sector. Deployment of Hadoop in Healthcare sector offers wide range of benefits such as easy access to medical records, huge data storage, scalability, efficient data visualization, monitoring health records and many others. Furthermore, with the sudden increase in the number of Covid-19 positive cases, the demand for advanced data analytics solutions witnessed a major trend in healthcare sector which has brought significant growth in the demand of Hadoop solutions, which is analysed to drive its market growth during the forecast period. For instance, in March 2021, In Sync Healthcare solutions updated their cloud-based healthcare solutions with new features such as expandable custom tabs to capture data and optimize those into visualization for better decision-making process in Healthcare sector, further driving the Hadoop Market.Hadoop Market Segment Analysis – By GeographyNorth America is analysed to be the major region with a share of 33.9% in 2021 for the Hadoop Market owing to the availability of leading market players for the Hadoop Market coupled with increasing investments in the IT infrastructure development in this region. North America has witnessed massive increase in the IT industry requirements and deployment of Hadoop solutions across various industries. North America is among the leading innovators and pioneers for the adoption of Big Data analytics which is analysed to be a major driver the demand of Hadoop solutions. The market in the United States is expected to experience a greater traction as a significant number of organizations are likely to set-up for cloud services to save their upfront cost of building new data centres for business continuity. For instance, according to Cisco, in 2021, 73% of the cloud workloads and compute instances will be in public cloud data centres in United States, up from 58% in 2019. This huge growth in cloud workloads tend to be significant driving factor for the growth of Hadoop Market during the forecast period.Hadoop Market DriversIncreasing deployment of cloud-based solutions across various industries is driving the demand of Hadoop solutionsIncreasing deployment of cloud-based solutions across various industries to optimize industrial digitalisation is a major driving factor for the growth of Hadoop Market during the forecast period. Various countries across the globe are investing significantly in the digitalisation to enhance their work efficiency and flexibility. Interoperability across various cloud environments and surge in the demand of efficient business intelligence technology for better decision-making process tend to drive its market growth across various enterprises. For instance, according to Cisco, in 2021, 73% of the cloud workloads and compute instances will be in public cloud data centres in United States, up from 58% in 2019. This huge growth in cloud workloads tend to be significant driving factor for the application of Hadoop solutions, further propelling its market growth. Hadoop offers the faster, cost-effective and more democratized business intelligence model which takes advantage of the intersection of the mobile workforce and Big Data and to speed insights and enhance collaboration which is analysed to be a major driving factor for the Hadoop Market growth.Deployment of Hadoop in Healthcare sector across the globe is propelling its market growthDeployment of Hadoop in the Healthcare sector across the globe is shifting the conventional ecosystem of health infrastructure into smart healthcare ecosystem which is analysed to be a major factor for its market growth. In 2010, less than three-quarters of hospitals (73%) had adopted an EHR system. Five years later, the percentage of hospitals with EHR systems increased to 93%. Between 2014 and 2016, that percentage grew by three percentage points to 96 percent. And as of 2021, 98% of hospitals had an EHR system in place or planned to install one. Digital transformation can help individual health care organizations by offering wider health ecosystem which provides improved ways of working, expands access to various services and aims to deliver a more effective patient and clinician experience. Healthcare organizations are in transition to health IT systems, powered by integration of cloud-based and big data analytics tools to enable real-time, smart digital health. For instance, In April 2020, IBM released novel AI-powered big data analytics technologies to help the Health and Research Community in accelerating the discovery of medical insights and treatments for COVID-19. This tend to bring huge impact in the demand of Hadoop solutions, further driving its market growth during the forecast period.Hadoop Market ChallengesIncreasing cyber threat and data privacy issues is analysed to hamper the Hadoop Market growthOne of the most important factor restraining the market growth of Hadoop Market across the global is the increasing cyber threat across the globe. Worldwide cybercrime costs hit $6 trillion annually by 2021. With the continuous evolution of technologies, the rate of data intrusions is also increasing. Hence, data privacy and security are essential while developing analytics solutions for varied enterprise applications. Once the big data is collected, it undergoes parallel processing. With the increasing cyber threats across various industries, Hadoop solutions are vulnerable to hacking, which means sensitive organizations data could fall into the wrong hands which may cause severe damages. As the deployment of Hadoop is witnessing considerable growth in BFSI sector, the threat of data breach of customers which may lead to financial losses tend to be a major restraining factor for its adoption in the near future. The misuse of data, whether intentional or not, can have serious legal consequences for both organizations and customers These factors tend to bring major challenges in the Hadoop Market growth during the forecast period.Hadoop Industry OutlookProduction Innovation, Acquisitions, Collaboration, and R&D activities are key strategies adopted by players in the Hadoop Market. In 2021, the market of Hadoop industry outlook has been fragmented by several companies. Hadoop top 10 companies includeAmazon Web ServicesHewlett Packard EnterpriseIBM CorporationGoogle Inc.Microsoft CorporationPentaho CorporationPivotal Software, Inc.SAP SETableau Software, Inc.Teradata CorporationRecent DevelopmentsIn July 2020, Google Cloud announced BigQuery Omni powered by Anthos for Multi-Cloud Analytics. BigQuery Omni provides enterprises with the flexibility they need to break down silos and create actionable business insights, without having to pay expensive egress fees for moving data from other cloud providers to Google Cloud. It will help customers securely and cost-effectively access, analyse, and find new insights empowering innovation in their business.In June 2020, HPE launched HPE Ezmeral, a new software portfolio and brand that will accelerate data-driven transformation across organizations. HPE Ezmeral provides a complete portfolio, including container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security.In May 2020 Accenture acquired Byte Prophecy, an automated insights and big data analytics company from India. The acquisition will help Accenture to meet what it sees as growing demand for enterprise-scale AI and digital analytics solutions across the region. As part of the deal, nearly 50 data science and data engineer experts will join Accenture Applied Intelligence, the global IT consulting firm’s team and service for artificial intelligence, data, analytics and automation..

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Hadoop Market - Forecast(2022 - 2027)

Hadoop Market is analysed to grow at a CAGR of 14.3% during the forecast 2022-2027 from $35.2 Billion in 2021. Hadoop is an open source software platform which is developed for scalable and distributed computing of large volume of data utilzing java runtime environment. It provides high performance and cost-effective analysis of Big Data generated by the enterprises through digital platforms and offers data discovery and visualization, social media analytics, distributed file system, hypertext transfer protocol and other enterprise applications of various both unstructured and structured data types utilizing shell scripts and java archive. With the increasing deployment of cloud-based solutions and its integration with internet of things (IoT) tend to be a major driving factor for the growth of Hadoop Market size during the forecast period. However in certain use cases, According to PR Newswire report, more than half of the Fortune 50 companies adopted Hadoop by 2012. In 2021, this figure has grown to more than 4 in 5 companies. However, this number is expected to stabilize over the forecast period. Hadoop is slowly becoming outdated with the advent of disruptive tech like cloud computing. For instance, SAS, a multinational developer of analytics software created a best-in-class hybrid cloud analytics solution with its Red Hat which aimed to accelerate customer adoption of analytics across various enterprises with its integration with existing cloud and IoT solutions. This partnership tends to accelerate the Hadoop industry for various enterprise applications during the forecast period.

Report Coverage

The report: “Hadoop Industry Outlook – Forecast (2022-2027)”, by Industry ARC covers an in-depth analysis of the following segments of the Hadoop Market Report.

By Components:

Hadoop Solutions (Packaged Software, Managed Software, Application Software, Performance Monitoring Software) and Services (Consulting & Development Services, Training & Support Services and Admin & Managed Services).

By Operation:

Local/Standalone Mode, Pseudo Distributed Mode, Fully Distributed ModeBy Offering Type: Data Discovery and Visualization, Distributed File System, Social Media Analytics, Hypertext Transfer Protocol and Others

By Usage Type:

Single Usage Platform, Multi-Purpose Platform

By Organization Size:

Small & Medium Enterprises (SMEs) and Large Enterprises.

By Deployment Mode:

Hybrid, On-cloud and In-Premises.

By End-Use Industry:

Banking, Finance Services and Insurance (BFSI), Retail, Government & Public Sector, Healthcare, IT & Telecommunication, Manufacturing, Transportation & Logistics and Others.

By Geography:

North America (U.S., Canada and Mexico); Europe (U.K., Germany, Italy, France, Spain, Russia, Rest of Europe); APAC (China, Japan, South Korea, India, Australia, Rest of APAC); South America (Brazil, Argentina, Rest of Americas); Row (Middle East & Africa).

Key Takeaways

Increasing deployment of cloud-based solutions across various industries for optimizing industrial digitalization is analysed to significantly drive the Hadoop Market during the forecast period 2022-2027.

Data Discovery and Visualization are analysed to hold highest share 37.4% in 2021 owing to surge in the demand of business intelligence (BI) solutions across various enterprises.

IT & Telecommunication industry is analysed to hold the highest market share 30.9% during the forecast period owing to the large amount of data generated across this vertical which propels the demand of Hadoop solutions for efficient working across the enterprise.

North America is analysed to hold the highest share at 33.9% in 2021 owing to the increasing IT industry requirements and rising integration of hybrid platform technologies across various industries.

Global Hadoop Market Share, By Region, 2021 (%)

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Hadoop Market Segment Analysis - By Offering

By Offering, the Hadoop Market Report is segmented into Data Discovery and Visualization, Distributed File System, Social Media Analytics, Hypertext Transfer Protocol and Others. Data Discovery and Visualization are analysed to be the highest growing segment with a CAGR of 17.2% among other offerings of Hadoop Market during the forecast period 2022-2027 owing to the increase in the demand of business intelligence solutions across various enterprises. With the advancement in technologies, businesses across the globe are majorly turning to visualization-based data discovery solutions. The growing trend toward visualization-based data discovery tools is worth exploring by any organization that seeks to derive more value from Big Data. The potential business benefits are significant and data governance practices can be used to help ensure the safe transition. These benefits tend to drive the market growth of Hadoop market for Data discovery and visualization application, further driving its market growth. For instance, In June 2020, Cloudera and IBM entered into a partnership for bringing AI solutions and advanced data analytics to organizations on the Apache Hadoop ecosystem which are aimed to offer better data analytics and visualization solution in accelerating the decision-making process.

Hadoop Market Segment Analysis – By End-Use Industry

By End-use Industry, the Hadoop Market Report is segmented into Banking, Finance Services and Insurance (BFSI), Retail, Government & Public Sector, Healthcare, IT & Telecommunication, Manufacturing, Transportation & Logistics and Others. Healthcare industry is analysed to be the highest growing segment with a CAGR of 16.3% among other industries of Hadoop Market during the forecast period 2022-2027 owing to the growing demand of efficient and smooth functioning cloud-based solutions in this sector. Deployment of Hadoop in Healthcare sector offers wide range of benefits such as easy access to medical records, huge data storage, scalability, efficient data visualization, monitoring health records and many others. Furthermore, with the sudden increase in the number of Covid-19 positive cases, the demand for advanced data analytics solutions witnessed a major trend in healthcare sector which has brought significant growth in the demand of Hadoop solutions, which is analysed to drive its market growth during the forecast period. For instance, in March 2021, In Sync Healthcare solutions updated their cloud-based healthcare solutions with new features such as expandable custom tabs to capture data and optimize those into visualization for better decision-making process in Healthcare sector, further driving the Hadoop Market.

Hadoop Market Segment Analysis – By Geography

North America is analysed to be the major region with a share of 33.9% in 2021 for the Hadoop Market owing to the availability of leading market players for the Hadoop Market coupled with increasing investments in the IT infrastructure development in this region. North America has witnessed massive increase in the IT industry requirements and deployment of Hadoop solutions across various industries. North America is among the leading innovators and pioneers for the adoption of Big Data analytics which is analysed to be a major driver the demand of Hadoop solutions. The market in the United States is expected to experience a greater traction as a significant number of organizations are likely to set-up for cloud services to save their upfront cost of building new data centres for business continuity. For instance, according to Cisco, in 2021, 73% of the cloud workloads and compute instances will be in public cloud data centres in United States, up from 58% in 2019. This huge growth in cloud workloads tend to be significant driving factor for the growth of Hadoop Market during the forecast period.

Hadoop Market Drivers

Increasing deployment of cloud-based solutions across various industries is driving the demand of Hadoop solutions

Increasing deployment of cloud-based solutions across various industries to optimize industrial digitalisation is a major driving factor for the growth of Hadoop Market during the forecast period. Various countries across the globe are investing significantly in the digitalisation to enhance their work efficiency and flexibility. Interoperability across various cloud environments and surge in the demand of efficient business intelligence technology for better decision-making process tend to drive its market growth across various enterprises. For instance, according to Cisco, in 2021, 73% of the cloud workloads and compute instances will be in public cloud data centres in United States, up from 58% in 2019. This huge growth in cloud workloads tend to be significant driving factor for the application of Hadoop solutions, further propelling its market growth. Hadoop offers the faster, cost-effective and more democratized business intelligence model which takes advantage of the intersection of the mobile workforce and Big Data and to speed insights and enhance collaboration which is analysed to be a major driving factor for the Hadoop Market growth.

Deployment of Hadoop in Healthcare sector across the globe is propelling its market growth

Deployment of Hadoop in the Healthcare sector across the globe is shifting the conventional ecosystem of health infrastructure into smart healthcare ecosystem which is analysed to be a major factor for its market growth. In 2010, less than three-quarters of hospitals (73%) had adopted an EHR system. Five years later, the percentage of hospitals with EHR systems increased to 93%. Between 2014 and 2016, that percentage grew by three percentage points to 96 percent. And as of 2021, 98% of hospitals had an EHR system in place or planned to install one. Digital transformation can help individual health care organizations by offering wider health ecosystem which provides improved ways of working, expands access to various services and aims to deliver a more effective patient and clinician experience. Healthcare organizations are in transition to health IT systems, powered by integration of cloud-based and big data analytics tools to enable real-time, smart digital health. For instance, In April 2020, IBM released novel AI-powered big data analytics technologies to help the Health and Research Community in accelerating the discovery of medical insights and treatments for COVID-19. This tend to bring huge impact in the demand of Hadoop solutions, further driving its market growth during the forecast period.

Hadoop Market Challenges

Increasing cyber threat and data privacy issues is analysed to hamper the Hadoop Market growth

One of the most important factor restraining the market growth of Hadoop Market across the global is the increasing cyber threat across the globe. Worldwide cybercrime costs hit $6 trillion annually by 2021. With the continuous evolution of technologies, the rate of data intrusions is also increasing. Hence, data privacy and security are essential while developing analytics solutions for varied enterprise applications. Once the big data is collected, it undergoes parallel processing. With the increasing cyber threats across various industries, Hadoop solutions are vulnerable to hacking, which means sensitive organizations data could fall into the wrong hands which may cause severe damages. As the deployment of Hadoop is witnessing considerable growth in BFSI sector, the threat of data breach of customers which may lead to financial losses tend to be a major restraining factor for its adoption in the near future. The misuse of data, whether intentional or not, can have serious legal consequences for both organizations and customers These factors tend to bring major challenges in the Hadoop Market growth during the forecast period.

Hadoop Industry Outlook

Production Innovation, Acquisitions, Collaboration, and R&D activities are key strategies adopted by players in the Hadoop Market. In 2021, the market of Hadoop industry outlook has been fragmented by several companies. Hadoop top 10 companies include

Amazon Web Services

Hewlett Packard Enterprise

IBM Corporation

Google Inc.

Microsoft Corporation

Pentaho Corporation

Pivotal Software, Inc.

SAP SE

Tableau Software, Inc.

Teradata Corporation

Recent Developments

In July 2020, Google Cloud announced BigQuery Omni powered by Anthos for Multi-Cloud Analytics. BigQuery Omni provides enterprises with the flexibility they need to break down silos and create actionable business insights, without having to pay expensive egress fees for moving data from other cloud providers to Google Cloud. It will help customers securely and cost-effectively access, analyse, and find new insights empowering innovation in their business.

In June 2020, HPE launched HPE Ezmeral, a new software portfolio and brand that will accelerate data-driven transformation across organizations. HPE Ezmeral provides a complete portfolio, including container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security.

In May 2020 Accenture acquired Byte Prophecy, an automated insights and big data analytics company from India. The acquisition will help Accenture to meet what it sees as growing demand for enterprise-scale AI and digital analytics solutions across the region. As part of the deal, nearly 50 data science and data engineer experts will join Accenture Applied Intelligence, the global IT consulting firm’s team and service for artificial intelligence, data, analytics and automation.

Relevant Report Titles:

Big Data Infrastructure Market – Forecast (2021 - 2026)

Report Code: ITR 0125

Hadoop-as-a-Service Market - Forecast 2021 – 2026

Report Code: ITR 10559

Hadoop Big Data Analytics Market - Forecast 2022 – 2027

Report Code: ITR 16247

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