Learn Big Data Online

Learn Big Data Online Pre-Requisites: Knowledge in Java and Data structure is very helpful. For a practical experience, you want to learn machine learning and Python. This is for Hadoop beginners.

  • Duration: 25+ hours
  • Fast-track / Weekend batches
  • 100% Practical Training
  • 09+ Years Exp Faculty
  • Project Explanation
  • Real time Scenarios
  • Free Bundle Videos
  • Sample Resumes
  • Interview Q&A


  • Overview of Bigdata and Hadoop
  • Hadoop Ecosystem
  • Type of Data
  • Characteristics of Bigdata


  • Architecture and Components
  • Concepts(Block Storage and Replication)
  • Advanced Concepts(HA, Federation)
  • HDFS Commands
  • Hands-on/Demo for all the above topics


  • Architecture and Components
  • Difference between HDP 1.x and HDP 2.x
  • Lifecycle of Yarn Application


  • Architecture and Components
  • Working of Map-Reduce(Map Phase and Reduce Phase)
  • Wordcount problem


  • Architecture and Components
  • Data Types
  • Types of Tables
  • Types of File Formats
  • Concepts(Partitioning and Bucketing)
  • Joins(All types of joins)
  • Hands-on/Demo for all the above topics


  • Overview of Sqoop
  • Architecture and Components
  • Import tool
  • Export tool
  • Hands-on/Demo for all the above topics


    • Overview of Oozie
    • Defining oozie workflow
    • Hands-on/Demo for all the above topics

Our Happy Student Reviews!

About BigData Course

Big data online training is a collection of large and complex data sets that cannot be processed using regular database management tools or processing applications. . 

The common objective of learn big data online technologies and solutions is time reduction. Macy’s merchandise pricing optimization application provides a classic example of reducing the cycle time for complex and large-scale analytical calculations from hours or even days to minutes or seconds. The department store chain has been able to reduce the time to optimize pricing of its 73 million items for sale from over 27 hours to just over 1 hour. Described by some as “big data analytics,” this capability set obviously makes it possible for Macy’s to re-price items much more frequently to adapt to changing conditions in the retail marketplace.

This learns big data online analytics application takes data out of a Hadoop cluster and puts it into other parallel computing and in-memory software architectures. Another key objective involving time reduction is to be able to interact with the customer in real-time, using analytics and data derived from the customer experience. If the customer has “left the building,” targeted offers and services are likely to be much less effective. This means rapid data capture, aggregation, processing, and analytics.

A lot of challenges such as capture, curation, storage, search, sharing, analysis, and visualization can be encountered while handling big data.

One of the most ambitious things an organization can do with learning big data online is to employ it in developing new product and service offerings based on data. Many of the companies that employ this approach are online firms, which have an obvious need to employ data-based products and services. The best example may be LinkedIn, which has used learn big data online and data scientists to develop a broad array of product offerings and features, including People You May Know, Groups You May Like, Jobs You May Be Interested In, Who’s Viewed My Profile, and several others. These offerings have brought millions of new customers to LinkedIn. Another strong contender for the best at developing products and services based on learning big data online is Google. This company, of course, uses big data to refine its core search and ad-serving algorithms. Google is constantly developing new products and services that have learn big data online algorithms for search or ad placement at the core, including Gmail, Google Plus, Google Apps, etc. Google even describes the self driving car as a learn big data online application.

The testing firm Kaplan uses its learn big data online to begin advising customers on effective learning and test-preparation strategies. These companies’ learn big data online efforts are directly focused on products, services, and customers. This has important implications, of course, for the organizational locus of big data and the processes and pace of new product development. If an organization is serious about product and service generation with learn big data online, it will need to create a broad program or initiative for doing so—a set of tools, technologies, and people who are good at big data online classes manipulation. GE’s new center for software and data analytics qualifies as such a program. Caesars (formerly Harrah’s) Entertainment has long been a leader in the use of analytics, particularly in the area of customer loyalty, marketing, and service. Today, Caesars is augmenting these traditional analytics capabilities with some big data technologies and skills. The primary objective of exploring and implementing learn big data online tools is to respond in real-time for customer marketing and service. For example, the company has data about its customers from its Total Rewards loyalty program, web clickstreams, and from real-time play in slot machines.

Learn big data online has traditionally used all those data sources to understand customers, but it has been difficult to integrate and act on them in real time, while the customer is still playing at a slot machine or in the resort. In order to pursue this learn big data online objective, Caesars has acquired both Hadoop online courses clusters and open-source and commercial analytics software. It has also added some data scientists to its analytics group. There are other goals for the learn big data online capabilities as well. Caesars pays fanatical attention typically through human observation to ensuring that its most loyal customers don’t wait in lines. With video analytics on big data tools, it may be able to employ more automated means for spotting service issues involving less frequent customers. Caesars is also beginning to analyze mobile data, and is experimenting with targeted real-time offers to mobile devices. This learn big data online, called ORION (On Road Integrated Optimization and Navigation), is arguably the world’s largest operations research project. It also relies heavily on learn big data online, and will eventually reconfigure a driver’s pickups and drop-offs in real time.

Big data CV & Interview

Even after the completion of course, we will provide you some interview questions where you can concentrate on them.

Yeah, Even after the completion of course, we will provide you some interview questions where you can concentrate on them.

We provide excellent study materials and customizable course curriculum to students for superior quality training and we also provide videos recordings which support throughout your career.

At the completion of this course, with hands-on training definitely give you confidence that you go in an interview with leaving 3 years of experience.

Big Data Certification

we will guide you and give you a clear picture about certification procedure.

All the topics will be covered during the course. We provide question banks which will be helpful for you to attempt for certification.

Even after completion, of course, you can approach a trainer if you have any doubt regarding certification.

Surely, We provide the certification sample queries and references.

The certification has multiple impacts and encouraging factors in the recruitment of experts. Organizations claim that hiring certified professionals has served them with greater deployment and yield on investment. Check Cloud Career Building Up Force for New-age IT Professionals to understand the career benefits.

Big Data Salary & Career Growth

Big data online training is the next big step in it just after the cloud computing and will be a leading trend in the next several years. Big data online course is a huge data that is used by companies to determine various factors like production, cost, time and development of new production.

The average salary for big data analytic professionals in the non-managerial role is 8.5 lakhs INR, whilst managers can earn an average of whopping 16 lakhs.

The concept of gathering and storing a large amount of data is an old traditional model which is followed which in the recent present has been replaced with three V’S. Considering all these reasons, there is enough proof that there is a surge in demand for Hadoop and also Hadoop professionals to cater to all these needs and requirements. 

Top companies like Microsoft, software ag, IBM, Oracle, HP, SAP, and DELL have invested a huge $15 billion on data management and thereby increasing the number of opportunities for Big data online training. The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.

The power grid data holds information consumed by a particular node with respect to a base station. Transport data includes model, capacity, distance and availability of a vehicle. Search engines retrieve lots of data from different databases. Big data online training is really critical to our life and it’s emerging as one of the most important technologies in modern world. Using the information kept in the social network like Facebook, the marketing agencies are learning about the response for their campaigns, promotions, and other advertising mediums.

Big Data Job Support

We Provide job support by experienced and real-time working professionals. We can charge as per your convenience hourly or monthly. Feel free to ask initial interaction session with expert.

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