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Apache Spark

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Course type: Online Instructor led Course

Platform: Zoom

Course ID: 43944

Course type: Online Instructor led Course

Platform: Zoom

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About the Course

This course will train you to -

  • Use the core Spark APIs to operate on data

  • Articulate and implement typical use cases for Spark

  • Build data pipelines and query large data sets using Spark SQL and DataFrames

  • Analyze Spark jobs using the administration UIs inside Databricks

  • Create Structured Streaming jobs

  • Work with relational data using the GraphFrames APIs

  • Understand how a Machine Learning pipeline works

  • Understand the basics of Spark's internals

What will you learn in Spark?

  • Spark Overview

  • In-depth discussion of Spark SQL and DataFrames, including:

    • The DataFrames/Datasets API

    • Spark SQL

    • Data Aggregation

    • Column Operations

    • The Functions API: date/time, string manipulation, aggregation

    • Joins & Broadcasting

    • User Defined Functions

    • Caching and caching storage levels

    • Use of the Spark UI to analyze behavior and performance

  • In-depth discussion of Spark internals

    • Cluster Architecture

    • The Catalyst query optimizer

    • The Tungsten in-memory data format

    • How Spark schedules and executes jobs and tasks

    • Shuffling, shuffle files, and performance

    • How various data sources are partitioned

    • How Spark handles data reads and writes

  • Spark Structured Streaming

    • Sources and sinks

    • Structured Streaming APIs

    • Windowing & Aggregation

    • Checkpointing & Watermarking

    • Reliability and Fault Tolerance

    • Kafka Integration

  • Overview of Sparkâ??s MLlib Pipeline API for Machine Learning

    • Transformer/Estimator/Pipeline API

    • Perform feature preprocessing

    • Evaluate and apply ML models

  • Graph processing with GraphFrames

    • Transforming DataFrames into a graph

    • Perform graph analysis, including Label Propagation, PageRank, and ShortestPaths.

Date and Time

Not decided yet.

About the Trainer

Biswanath Banerjee picture

3 Avg Rating

8 Reviews

11 Students

7 Courses

Biswanath Banerjee

BTech IIT Roorkee

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:
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.
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