News on Hadoop-May 2016
Microsoft Azure beats Amazon Web Services and Google for Hadoop Cloud Solutions. May 3, 2016. MSPowerUser.com
In the competition of the best Big Data Hadoop Cloud solution, Microsoft Azure came on top – beating tough contenders like Google and Amazon Web Services. In the 37 criteria-evaluation by Forrester, Azure came out as the leader. Microsoft’s cloud first strategy is definitely paying off.
Pachyderm Stack Challenges the core of Hadoop. May 10, 2016. TheNewStack.io
The Pachyderm team has begun to create opportunities out of the weaknesses of Hadoop. They have created containers for data storage and analysis – which is an alternate to Hadoop distributed file system. Pachyderm stack uses Docker containers. The Pachyderm File System is a replacement for HDFS and Pachyderm Pipelines is for MapReduce.
If you would like more information about Big Data careers, please click the orange "Request Info" button on top of this page.
AtScale scoops up $11 million in Series B funding for its Hadoop-based BI. May 16, 2016. Networkworld.com
With several players joining the vendor’s bandwagon in the Hadoop ecosystem, AtScale is in its position to succeed. AtScale is making BI work easily on Hadoop with interactive and multi-dimensional analytics capabilities providing governance, security and integration which enterprises demand from open source projects. At Scale’s strong performance has helped the company raise an $11 million funding in series B round.
Want to become a certified Hadoop Developer ? Enrol now for hands-on Hadoop Training Online
Hadoop 3 Poised to Boost Storage Capacity, Resilience with Erasure Coding. May 18, 2016. Datanami.com
According to a recent big data conference, the next major version of Hadoop i.e. Hadoop 3 is likely to have double storage capacity with increased resiliency with the addition of erasure coding. Erasure Coding is an error correction technology that is usually present in object file systems used for storing huge amounts of unstructured data. Hadoop 3 will make use of erasure codes to read and write data to HDFS. With many other novel features like the capability to derive heap size, shell script rewrite, capability to derive MapReduce memory automatically, task level native optimization , support for more than 2 NameNode’s- Hadoop 3 is bound to revolutionize the big data space.
For the complete list of big data companies and their salaries- CLICK HERE
Hadoop Evolution: What You Need to Know. May 23, 2016. EnterpriseAppsToday
Apache Hadoop has been constrained by skills shortage, complexity of implementation and lack of standardization but organizations are leveraging novel methods to use Hadoop. Though there might be limitation to Hadoop usage, experts suggest that it not going away and organizations might shift to cloud to handle Hadoop. With huge shift in the outlook of data analysts and vendors, hadoop is likely to play a vital role in business decisions with novel emerging approaches.
Global Hadoop Market Poised to Surge from USD 5.0 Billion in 2015 to USD 59.0 Billion by 2021. May 26, 2016. MarketResearchStore.Com
MarketResearchStore report anticipates the global demand for hadoop to reach $59 billion in 2012 from $4 billion in 2015 with a CAGR of 51%.The 3 major segments of the hadoop market are software, services and hardware of which services is a major shareholder with 40% of the total revenue. Geographically, North America dominated the regional hadoop market in 2015 and is expected to continue the same trend in the next few years with 50% share of the entire hadoop market. Asia Pacific and Europe are the growing regions for Hadoop market.
CLICK HERE to know more about the open Hadoop Jobs for 2016
Global Hadoop Market Growth of 59.37% CAGR by 2020 .May 31, 2016. BusinessWire
Research and Markets recently released their Global Hadoop Market 2016-2020 report. Report anticipates that the global hadoop market is expected to grow at a compound annual growth rate of 59.37%.The report highlight the growth of Hadoop market based on three geographical segments- America, EMEA, APAC.