Download - Spark for big data analytics

www.edureka.co/apache-spark-scala-training Big Data Analytics with Spark

www.edureka.co/apache-spark-scala-training

What will you learn today ?

What is Apache Spark ?

How Spark fits into Hadoop Ecosystem ?

Why Spark for Big Data Analytics ?

Spark’s popularity

Hands-On : Analyzing data with Spark


Apache Spark

Apache Spark is a general purpose data processing engine with in-memory computing Spark provides API for Scala, Java, Python and R which makes Spark widely adopted for data processing


How Spark fits into Hadoop Ecosystem ?

Spark is intended to enhance, not replace, the Hadoop stack

Spark is designed to read and write data to HDFS as well as other storage systems such as CSV files, Amazon S3 and NoSQL databases



What makes Spark

suitable for Big Data

Analytics ?



Following features make Spark, the best fit for Big Data Analytics :

Spark simplifies data analysis Spark provides built-in libraries to do advanced analytics Spark speaks more than one language Spark provides faster results Spark allows you to use different Hadoop vendors


Word Count Problem - MapReduce

MapReduce Code for a Simple Word Count Problem


Word Count Problem - Spark

Spark Scala Code for Word Count Problem

Spark Python Code for Word Count Problem

Clearly processing data with Spark is much easier than MapReduce and Spark gives you the flexibility to choose your favorite language Scala, Java, Python etc.


Spark is blazingly Fast


Spark Libraries

Spark SQL : Spark’s module for working with structured data

MLlib : Spark’s machine learning library

GraphX : Spark’s API for graph computation

Spark Streaming : Spark’s API to process streaming data


Spark Multiple Language Support


Spark in one Snapshot


Spark Use Cases

Different companies are using Spark for solving various problems e.g. recommendation systems, business intelligence, fraud detection etc.


Who is using Spark?

A complete list of companies using Spark can be found here : https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark

https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark

https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark


Spark is here to stay

Spark is not one of those "here today, gone tomorrow". Spark is here to stay for the foreseeable future, and it is well worth to get your teeth into it in order to get some value out of your data


Hands-onAnalyzing data with Spark


References

IBM backs Apache Spark for Big Data Analytics : http://www.forbes.com/sites/paulmiller/2015/06/15/ibm-backs-apache-spark-for-big-data-analytics/

How eBay uses Spark to ignite Data Analytics : http://www.ebaytechblog.com/2014/05/28/using-spark-to-ignite-data-analytics/

Why Cloudera is saying 'Goodbye, MapReduce' and 'Hello, Spark' :http://fortune.com/2015/09/09/cloudera-spark-mapreduce/

5 reasons to turn to Spark for Big Data Analytics : http://www.infoworld.com/article/2897287/big-data/5-reasons-to-turn-to-spark-for-big-data-analytics.html

http://www.forbes.com/sites/paulmiller/2015/06/15/ibm-backs-apache-spark-for-big-data-analytics/



http://www.ebaytechblog.com/2014/05/28/using-spark-to-ignite-data-analytics/

http://www.ebaytechblog.com/2014/05/28/using-spark-to-ignite-data-analytics/

http://fortune.com/2015/09/09/cloudera-spark-mapreduce/

http://fortune.com/2015/09/09/cloudera-spark-mapreduce/

http://www.infoworld.com/article/2897287/big-data/5-reasons-to-turn-to-spark-for-big-data-analytics.html

http://www.infoworld.com/article/2897287/big-data/5-reasons-to-turn-to-spark-for-big-data-analytics.html


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