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Instructor led Online Training & Big Data Analysis

 

Online Training on Big Data Processing Framework

We procure online training along with real-time project execution methodology, an easiest and cost effective way to gain momentum with Hadoop, Spark, Kafka etc. We provide a virtual classroom environment using digital whiteboard beside slides, videos etc.

    • Hadoop and its eco system for Big Data processing    
      • Basic without individual environment setup
      • Intermediate with single node cluster setup on Ubuntu
      • Expert Level that includes multinode cluster setup on AWS Cloud.

    • Kafka – A distributed streaming platform. To build real-time streaming data pipelines, massive data (Big data) ingestion into Hadoop Distributed File Systems to process and analyse by Data Scientists.
      • Basic understanding with Publish and Subscribe Messaging Systems.
      • Advanced course followed by
        • Kafka Architecture
        • Cluster set-up on Ubuntu
        • Zookeeper with Kafka set-up
        • Exercise and real-time case studies.

    • Spark – A fast, general engine and in-memory computing for large-scale data processing.
      • Basic understanding of Spark, Resilient Distributed Dataset and DataFrames.
      • Advanced course
        • Spark application programming
        • Spark libraries
        • Configuration, Monitoring and Tuning

Big Data Analysis

We are effectively utilizing Apache’s open source Hadoop and its ecosystem to store and process various dimension of data. To meet the tough challenges due to an exponential growth of unstructured data from various channels like emails, e-newspaper, social media, blogs etc, we help product and marketing companies across the globe to understand their customers’ sentiments, analyse brand value as well as preparation of reports to take the crucial business decision.

To process the huge volume of log files generated from various types of web and application server, our team have the capabilities to connect log generation source and subsequently process in order to extract intricate information by storing data on distributed storage layer.

We can help and support mid-size e-commerce vendor to build data lake using open source components to analyse and understand customer’s buying pattern based on post order fulfilment data as well as their review and rating publishes via social media, blogs etc.

Also consulting to adopt extraction, loading and then transformation of data over traditional ETL process.