Recap of Hadoop News for January

Recap of Hadoop News for January

News on Hadoop – January 2016

Recap of Hadoop News for January


Hadoop turns 10, Big Data industry rolls along., January 29, 2016

2016 marks the tenth birthday of the big daddy of big data -Apache Hadoop. The proud dad Doug Cutting wrote an exclusive blog celebrating 10th birthday of Hadoop which was named after his son’s tiny toy elephant. Hadoop ignited the big data craze 10 years back and it continues to be the show of the star in the data century.


Work on Hands on Projects in Big Data and Hadoop

The global Hadoop market is expected to reach $84.6 bn by 2021., January 27, 2016.

This is a prediction made in the recent report by the Allied Market Research team on “"World Hadoop Market - Opportunities and Forecasts 2014-2021". Due to the huge adoption of big data solutions, Hadoop is looking at the fastest CAGR in terms of enterprise wide adoption.

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New Hadoop Survey Identifies Big Data Trends to Watch in, January 19, 2016

Syncsort, a global  leader in mainframe software and big data announced the results for its second Hadoop annual survey which identified the big data trends to watch out for in 2016- increased Spark adoption, innovation of Hadoop in social media, how companies continue to move expensive workloads to Hadoop and more.

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Hortonworks® Named a Leader in Big Data Hadoop Distributions Report by Independent Research Firm. January 22, 2016

Hortonworks was mentioned as a leader in the January 2016 report entitled The Forrester Wave™: Big Data Hadoop Distributions, Q1 2016.Hortonworks was named a leader as it promises a big reward on inclusive, broad community innovation and 100% open source distribution.

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Qubole secures $30 million to grow its Hadoop-as-a-service., January 21, 2016

Qubole raised $30 million funding from equity giant IVP and 3 existing backers to expand its on-demand hadoop implementations. What distinguishes Qubole data service from others is it’s easy to use interface that covers the complexity of other analytics frameworks and helps companies make use of the capabilities more effectively.


Splice Machine bags $9m to fund RDBMS on Hadoop and Spark. January 22, 2016

Splice Machine aims to provide a scale-out RDBMS that can cater to the exponential big data growth. By combining RDBMS with Hadoop and Spark it claims that it can increase the run-tine speed over traditional RDBMS at 1/4th the cost. It secured a total of $31m funding for splicing Hadoop and RDBMS.


WANdisco announces Fusion supports for continuous Hadoop availability, scalability and performance. Computer Technology Review, January 3, 2016.

WANdisco Fusion’s easy to deploy architecture for Hadoop has made it the go to vendor for two major financial services firms in the US. WANdisco avoid Hadoop downtime, data loss and Hadoop vendor lock-in. WANdisco Fusion can be implemented across mixed storage environments as well.

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Manthan introduces their new customer-analytics tool for Hadoop users., January 7, 2016.

Manthan has recently revamped their long standing customer analytics tool Customer360. This tool has a wide array of descriptive, predictive and prescriptive analytical capabilities and its algorithms are optimized for Apache Spark which give marketers a much needed fast data analysis tool.

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For the complete list of big data companies and their salaries- CLICK HERE

Tableau partners with AtScale for BI on Hadoop. January 11, 2016.

Hadoop is useful for scaling up when it comes to big data analysis and processing. But enterprises are finding it very difficult to get the same results out of Hadoop for BI as Hadoop has a lot of issues in that section. AtScale, a startup that specializes on BI on Hadoop, has partnered with Tableau (Business Intelligence and Analytics Specialist) to solve this issue of BI on Hadoop.

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Hadoop Developer – Hortonworks have introduced New Partner Program., January 14, 2016.

The California based company, which works with Apache Hadoop to build big data platforms for customers to manage their data, is all set for their Global Partners Program to up the level for their network of 15000 partners. This program will help the partners get on a new level with the ISV and IHV technology, become certified and create better value for their customers.

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Global Hadoop Market Prediction till 2019., December 31, 2015.

The global Hadoop market is expected to grow at CAGR 53% in the next 4 years. Companies are fast adopting Hadoop based solutions, as SaaS (Software as a Service). As usual the dilemma that companies are facing is the dearth of qualified talent to take on these projects.

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Work on hands on projects on Big Data and Hadoop with Industry Professionals

Relevant Projects

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.

Real-Time Log Processing using Spark Streaming Architecture
In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security

Explore features of Spark SQL in practice on Spark 2.0
The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.

Spark Project-Analysis and Visualization on Yelp Dataset
The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.

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

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

Hive Project - Visualising Website Clickstream Data with Apache Hadoop
Analyze clickstream data of a website using Hadoop Hive to increase sales by optimizing every aspect of the customer experience on the website from the first mouse click to the last.

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.

Data Mining Project on Yelp Dataset using Hadoop Hive
Use the Hadoop ecosystem to glean valuable insights from the Yelp dataset. You will be analyzing the different patterns that can be found in the Yelp data set, to come up with various approaches in solving a business problem.

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.