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Big Data Analytics with Hadoop 3

You're reading from  Big Data Analytics with Hadoop 3

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788628846
Pages 482 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Sridhar Alla Sridhar Alla
Profile icon Sridhar Alla
LinkedIn
Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.
See other products by Sridhar Alla

Table of Contents (18) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Introduction to Hadoop Overview of Big Data Analytics Big Data Processing with MapReduce Scientific Computing and Big Data Analysis with Python and Hadoop Statistical Big Data Computing with R and Hadoop Batch Analytics with Apache Spark Real-Time Analytics with Apache Spark Batch Analytics with Apache Flink Stream Processing with Apache Flink Visualizing Big Data Introduction to Cloud Computing Using Amazon Web Services Index

Aggregations

Aggregation is the method of collecting data together based on a condition and performing analytics on the data. Aggregation is very important to make sense of data of all sizes as just having raw records of data is not that useful for most use cases.

Note

Imagine a table containing one temperature measurement per day for every city in the world for five years.

For example, if you see the following table and then the aggregated view of the same data then it is obvious that just raw records do not help you understand the data. Shown below is the raw data in the form of a table:

City

Date 

Temperature

Boston

12/23/2016

32

New York

12/24/2016

36

Boston

12/24/2016

30

Philadelphia

12/25/2016

34

Boston

12/25/2016

28

 

Shown below is the average temperature per city:

City

AverageTemperature

Boston 

30 - (32 + 30 + 28)/3

New York

36

Philadelphia

34

Aggregate functions

Aggregations can be performed with the help of functions that can be found in the org.apache.spark.sql.functions package. In addition to this, custom...

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Authors (1)

Profile icon Sridhar Alla
LinkedIn
Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.
Read more
See other products by Sridhar Alla

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