Learn how to apply data science techniques using parallel programming during Spark training, to explore big (and small) data.
Introduction to Big Data
Challenges with Big Data
Batch Vs. Real Time Big Data Analytics
Batch Analytics – Hadoop Ecosystem Overview
Real Time Analytics Options
Streaming Data – Storm
In Memory Data – Spark
What is Spark?
Modes of Spark
Spark Installation Demo
Overview of Spark on a cluster
Spark Standalone Cluster
Learn how to invoke spark shell, build spark project with sbt, distributed persistence and much more…in this module.
Invoking Spark Shell
Creating the Spark Context
Loading a File in Shell
Performing Some Basic Operations on Files in Spark Shell
Building a Spark Project with sbt
Running Spark Project with sbt
Spark Streaming Overview
Example: Streaming Word Count
The main abstraction Spark provides is a resilient distributed dataset (RDD), which is a collection of elements partitioned across the nodes of the cluster that can be operated on in parallel.
Spark Transformations in RDD
Actions in RDD
Loading Data in RDD
Saving Data through RDD
Spark Key-Value Pair RDD
Map Reduce and Pair RDD Operations in Spark
Scala and Hadoop Integration Hands on
Shark is a component of Spark, an open source, distributed and fault-tolerant, in-memory analytics system, that can be installed on the same cluster as Hadoop. This module of spark training, will give insights about Shark.
Loading of Data
Hive Queries through Spark
Testing Tips in Scala
Performance Tuning Tips in Spark
Shared Variables: Broadcast Variables
Shared Variables: Accumulators
Upon completion of our training, you will be able to:
The following job roles will get benefited from this training:
Basic knowledge of SQL, database, and query language are the prerequisites.
Post training, you will be able to:
28 Oct, 2020 - 12 Nov, 2020
31 Oct, 2020 - 05 Dec, 2020
01 Nov, 2020 - 01 Dec, 2020
04 Nov, 2020 - 19 Nov, 2020
07 Nov, 2020 - 12 Dec, 2020
08 Nov, 2020 - 08 Dec, 2020
Our Apache Spark course covers all the topics that are required to clear Apache Spark certification. Trainer will share Apache Spark certification guide, Apache Spark certification sample questions, Apache Spark certification practice questions.
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Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
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