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Big Data Course Deliverables

Created with Snap Introduction to Hadoop

  • Identifying the business benefits of Hadoop
  • Surveying the Hadoop ecosystem
  • Selecting a suitable distribution

Created with Snap Parallel Program Challenges

  • Discover algorithms, data and information exchange
  • Big data storage and complexity
  • Dividing and conquering large–scale problems
  • Uncovering jobs suitable for MapReduce
  • Solving typical business problems

Created with Snap MapReduce paradigm

  • Hadoop distribution
  • Components of MapReduce jobs
  • Hadoop daemons
  • MapReduce processing
  • Selecting and employing multiple mappers and reducers
  • Analyzing time series data with secondary sort
  • Streaming tasks through various programming languages

Created with Snap MapReduce Customization

  • Data manipulation problems
  • Executing algorithms
  • Analyzing log files, social media data and e–mails
  • Partitioners and comparators
  • Network–bound
  • CPU–bound
  • Disk I/O–bound parallel algorithms
  • Dividing the workload efficiently using partitioners
  • Controlling grouping
  • Sort order with comparators
  • Collecting metrics with counters

Created with Snap Distributed Data Storage

  • Making the case for distributed data
  • Achieving high performance data throughput
  • Hadoop Distributed File System (HDFS)
  • Breaking down the structure
  • Organization of HDFS
  • Loading raw data
  • Reading and writing data programmatically
  • Hadoop Sequence File types
  • Sharing reference data with Distributed Cache
  • Structuring data with HBase
  • NoSQL concepts
  • Connecting to HBase from MapReduce jobs

Created with Snap Data Analysis and use of Pig

  • SQL with Hive
  • Structuring databases, tables, views and partitions
  • Integrating MapReduce jobs with Hive queries
  • Querying with HiveQL
  • Accessing Hive servers through JDBC
  • Extending HiveQL with User–Defined Functions (UDF)
  • Executing workflows with Pig
  • Developing Pig Latin scripts
  • Integrating Pig queries with Java
  • Interacting with data through the grunt console

We are technology experts and can make you ahead of your competitors

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Why us?

Face To Face and Practical Hands on Training

Face-to-Face and practical hands on training with highly expertised trainers with over 10 years of experience with MNC’s.

Team of Experts

IT professional and consultants are exposed to large projects and work on Live production Servers.

Why Big Data?

Data is useless without the skills to analyze it. There are more job opportunities in Big Data management and Analytics and the trend will continue to grow.

Importance of Big Data

The field of big data and analytics is a vibrant one, adapting swiftly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill mounting job opportunities.

We are technology experts and can make you ahead of your competitors

Book Now


Big Data With Hadoop Classroom Training

£1800 £1699+VAT

  • Course Duration- 3 Days

Big Data With Hadoop Online Training

£1500 £1399+VAT

  • Course Duration- 3 Days

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About Us

Wenso Training is a part of Wenso LTD, a holding Company focus an IT, GRC, Security and Emerging technology services. Headquarters in Manchester, UK, Wenso for close to a decade has a proven track record of successfully helping clients of Blue Chip level to Start-ups as well as public sector firms by providing niche and innovative technology solutions.


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