Big Data

6 Item(s)

Set Descending Direction
  1. Spark with Scala Spark with Scala

    Spark with Scala

    Hadoop mapreduce faciliteted to solve complex problems on distributed systems but with some limitations. This course will discuss limitation of Hadoop mapreduce and how Spark overcomes those limitations. We describe RDDs which is core of Spark and In memory computation. Understanding of persistent RDDs, in memory computation, and solving Big Data problems using Spark with Scala is core of this course. Discussion will move through SparkSQL and problem solving with SparkSQL dataframes. Hand-on is the parallel movement for all the discussion. Concept on dealing with streaming data with Spark Streaming is also an important topic, which is included. Last part of course is Spark program optimization. Optimization of Spark core, Spark SQL, Spark streaming and optimizing the utilization of cluster system . We discuss Spark on Yarn, Standalone and Mesos cluster too. Learn More

    Regular Price: ₹12,999.00

    Special Price ₹11,999.00

  2. Spark with Python Spark with Python

    Spark with Python

    The following will be covered and more: What makes Spark a power tool of Big Data and Data Science? Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations Run Spark in a Cluster in your local environment and Amazon EC2 Deploy Python applications to a Spark Cluster Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources Convenient links to download all source code Reinforce your understanding through multiple quizzes and lecture recap Learn More

    Regular Price: ₹12,999.00

    Special Price ₹11,999.00

  3. Introduction to Big Data with Hadoop Introduction to Big Data with Hadoop

    Introduction to Big Data with Hadoop

    The course focuses on the basics of Big Data and Hadoop. It further provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem. Learn More

    Regular Price: ₹9,000.00

    Special Price ₹8,000.00

    Coming Soon

  4. Advance Concept of Hadoop Advance Concept of Hadoop

    Advance Concept of Hadoop

    The course focuses on the basics of Big Data and Hadoop. It further provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem. Learn More

    Regular Price: ₹9,000.00

    Special Price ₹8,000.00

    Coming Soon

  5. Spark with Scala - Advanced Spark with Scala - Advanced

    Spark with Scala - Advanced

    Get clear understanding of the limitations of MapReduce and role of Spark in overcoming these limitations Understand fundamentals of Scala Programming Language and it’s features Explain & master the process of installing Spark as a standalone cluster Expertise in using RDD for creating applications in Spark Mastering SQL queries using SparkSQL Gain thorough understanding of Spark Streaming features Master & describe the features of Spark ML Programming and GraphX Programming Learn More

    Regular Price: ₹9,000.00

    Special Price ₹8,000.00

    Coming Soon

  6. Spark with Python - Advanced Spark with Python - Advanced

    Spark with Python - Advanced

    The following will be covered and more: What makes Spark a power tool of Big Data and Data Science? Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations Run Spark in a Cluster in your local environment and Amazon EC2 Deploy Python applications to a Spark Cluster Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources Convenient links to download all source code Reinforce your understanding through multiple quizzes and lecture recap Learn More

    Regular Price: ₹9,000.00

    Special Price ₹8,000.00

    Coming Soon

6 Item(s)

Set Descending Direction
Big Data
Minimal Price:8000.00
Browse By
Category
  1. Hadoop (2)
  2. Spark With Scala (2)
  3. Spark With Python (2)

SEO Toolbar

hide

Full Action Name: 
catalog_category_view


Robots Meta Header: 
INDEX,FOLLOW


Canonical URL: 
Missing canonical URL.


Number of H1 tags: 
One H1 tag. Correct.


Meta Title: 
Big Data
Length = 8. Correct.


Meta Description: 
Big Data
Length = 8. Correct.


Meta Keywords 

big data
   16  (100%)

Image Alt 

Total amount of images: 17
Images without alt attribute: 0
Images with empty alt attribute: 2
Some alt tags are empty or missing.
Images with empty alt: