"Fundamentals of Big Data Hadoop" is no longer available

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Mehdipatnam, Hyderabad

Course ID: 43823

Mehdipatnam, Hyderabad

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Biswanath Banerjee picture
Biswanath Banerjee

BTech IIT Roorkee

About Biswanath Banerjee

20 years of enriched technology experience in organizations - IBM, MBT (now Tech Mahindra), Tavant Technologies, Network Programs etc.
Highly experienced technical leader. Expert in Big Data Hadoop, PIG, Flume, Scoop Hive, Zookeeper, Apache Spark, Scala, Java stack
Solid experience in architecting solutions and programming experience in Scala, Python and core Java.
Design and development of Hadoop clusters from 60 to 800 nodes clusters, MapReduce jobs, PIG, Spark streaming data.
Undertaken and executed projects in Apache Spark and Scala.
Corporate Trainer in Big Data Hadoop, Scala and Spark, Agile Project Management, Core Java, Design Patterns in Java, Big Data architecture
Education: BTech (Mech) IIT Roorkee
Certifications: IBM Certified Senior Project Manager
Cloudera Certified Hadoop Developer
Certified Big Data Hadoop and Spark developer
Skills and expertise:
TECHNICAL EXPERTISE
Technology Stack: Core Java | Design patterns | Datastructures
Big Data technologies: Hadoop |MapReduce| Spark | Scala | HBase | Pig | Hive | Zookeeper | Scoop| Flume
Others:Java/J2EE | Python | DJango | Spark | Scala | MongoDB | NodeJS | Spring | Framework | MS Project | Rational Tools | CVS | Agile Scrum
@Corporate Trainer
Trained and mentored more than 500 people on Hadoop and Spark projects.
Apache Spark Developer Training at GIFAmpTechnologies
- 5 days developer training
- Spark, Spark Streaming and Spark SQL,Scala
- Real world use case project
- 12 people batch
Advanced Hadoop Data training at Genisys, Bangalore
-5 days developer training
-Advanced topics like YARN, Hadoop Federation, Spark
-Map/Reduce, HDFS, Hive, Pig Hands on
-Real world use case project
-20 people batch
Hadoop Data Training at Tavant Technologies, Bangalore
- 3 days Hadoop training
- Map/Reduce, HDFS, Hive, Pig Hands on
- 15 people batch
Other trainings
- 5 days Hadoop Developer training at GifAmp Technologies, Pune
- Hadoop Developer training at MindTree, Bangalore,
- Hadoop Administration training at NucleusMind Technologies, Noida
- Hadoop Developer public trainings at Idea labs
- Hadoop Developer training at L&T
- Apache Spark and Scala Training at Hexaware
- 5 days Hadoop and Spark training at a leading Enginering college in Kolkata
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About the Course

The course is for those who want to learn in a simple way the fundamentals of Big Big Data Hadoop and Spark  Technologies.


The course structure:-

Big Data at a Glance: Learn about Big Data and different job roles required in Big Data market. Know big data salary trends around the globe. Learn about hottest technologies and their trends in the market.

Getting Started with Hadoop: Understand Hadoop and its complex architecture. Learn Hadoop Ecosystem with simple examples. Know different versions of Hadoop (Hadoop 1.x vs Hadoop 2.x), different Hadoop Vendors in the market and Hadoop on Cloud. Understand how Hadoop uses ELT approach. Learn installing Hadoop on your machine. We will see running HDFS commands from the command line to manage HDFS.

Getting Started with Hive: Understand what kind of problem Hive solves in Big Data. Learn its architectural design and working mechanism. Know data models in Hive, different file formats supported by Hive, Hive queries etc. We will see running queries in Hive.

Getting Started with Pig: Understand how Pig solves problems in Big Data. Learn its architectural design and working mechanism. Understand how Pig Latin works in Pig. You will understand the differences between SQL and Pig Latin. Demos on running different queries in Pig.

Use Cases: Real-life applications of Hadoop is really important to better understand Hadoop and its components. Hence we will be learning by designing a sample Data Pipeline in Hadoop to process big data. Also, understand how companies are adopting modern data architecture, i.e. Data Lake in their data infrastructure.

Practice: Practice with huge Data Sets. Learn Design and Optimization Techniques by designing Data Models, Data Pipelines by using real-life applications' data sets. 

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