Recap of Hadoop News for July

Recap of Hadoop News for July

News on Hadoop-July 2016

Hadoop News for July

Driven 2.2 allows enterprises to monitor large scale Hadoop and Spark applications. July 4, 2016.

Driven Inc., a leader in Application Performance Monitoring (APM) for big data applications has launched its next version – Driven 2.2. Driven Cloud is a component of Driven 2.2 and it is the first SaaS offering that manages big data applications running on Hadoop as a Service (HaaS)


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Hortonworks is pulling up its pants, gets pragmatic in its approach. July 12, 2016.

Hortonworks has come a long way in its 5-year journey as a Hadoop vendor. It is catching up to its rivals – Cloudera and MapR in giving vendor specific products. Hortonworks is revamping its data warehouse optimization use cases through an OEM arrangement with AtScale, Pivotal and Syncsort. They are also reselling AtScale to improve BI query and reporting in Hadoop.


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Wayne State U Deploys Analytics with SAS and Hadoop. July 14, 2016.

With the intent to improve the reporting system for student data and finance, Wayne State University in Michigan has implemented a SAS Visual Analytics platform with Hadoop. The new big data analytics platform built on Hadoop will be used by the staff and administrators to analyse information like student performance trends, revenue, admission trends and spending to facilitate smart decision-making.

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Commvault stomps out with protection for Hadoop, Big Data analytics systems. July 15,

Commvault, a bridge between product systems and data aims to provide data protection environment on Hadoop. Commvault provides analytics needed to access data on a large group of servers running hadoop jobs with each server having its own stored part of the overall dataset. Commvault envisages an agent running on each server that sends data to be stored in a single central target, or on the cloud or on-premises.

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Global Hadoop market predictions show positive growth till 2015. July 18, 2016.

As per Statistics MRC, the Global Hadoop market is expected to increase at a CAGR of 53.7%. This growth is augmented by the rapid increase of structured and unstructured data, consumer consumption data and the growing need of Big Data analytics.


Securing the World with Hadoop. July 20, 2016.

The leading provider of cyber security solutions, Dell SecureWorks uses Hadoop Ecosystem to process 185 billion logs per day with data volume growing at a rate of 66% every year. Dell SecureWorks plans to adopt newest technologies in the growing hadoop ecosystem to help customers stay secure by using HBase to enhance enrichment capabilities, Kafka for messaging, Spark MLib for machine learning and Spark Streaming for stream processing.

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Teradata bolsters Hadoop consulting biz with new UK acquisition. July 25, 2016.

 Teradata Corp. acquired a UK based consultancy named “Big Data Partnership Ltd.” For an undisclosed amount. Big Data Partnership firm is strong enough to take on analytics initiative any stage of development whether it is  a production hadoop cluster in need of modernization or a half-baked internal demo. Teradata plans to integrate Big Data Partnership capabilities into its Think Big professional services to provide support and employee training so that they make the best out of the data infrastructure.

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Cloudera provides an easy path for Analytics on Hadoop. July 26, 2016.

Cloudera one of the leading Hadoop vendors, has released Cloudera Navigator Optimizer and Cloudera Enterprise 5.8 to make analytics on Hadoop easier. Anyone looking to augment their database platform with Hadoop or optimize their analytics solutions can use these tools to do so.


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Relevant Projects

Tough engineering choices with large datasets in Hive Part - 2
This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.

Analysing Big Data with Twitter Sentiments using Spark Streaming
In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.

Yelp Data Processing using Spark and Hive Part 2
In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.

Spark Project -Real-time data collection and Spark Streaming Aggregation
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.

Data processing with Spark SQL
In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Tough engineering choices with large datasets in Hive Part - 1
Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances

Yelp Data Processing Using Spark And Hive Part 1
In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.

Event Data Analysis using AWS ELK Stack
This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.

Real-Time Log Processing in Kafka for Streaming Architecture
The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.