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Bangalore, IN (PRWEB) August 20, 2014

Jigsaw Academy is excited to announce the launch of their Big Data and Hadoop Certification Course, jointly developed with Wiley, a global provider of content-enabled solutions. The course focuses on learning to process large and complex data sets and generating insights using Big Data tools and technologies. On completion of all the said requirements of the sixteen week course, students will receive a globally recognized certification in Big Data, jointly certified by Jigsaw Academy and Wiley. The certification exam will be conducted in multiple centers around the country.

The Big Data and Hadoop course curriculum is comprehensive and is generated and delivered by experts from all over the world. The syllabus is unique in that it includes an in depth coverage of all the popular and widely used Big Data technologies while also teaching how they are actually applied to mine and analyze data in real life. The Big Data technologies covered in detail include Hadoop, MapReduce, HDFS, SQOOP, FLUME, PIG, HIVE and IMPALA. Analytics coverage includes R, Integrating R and Hadoop, RHadoop and RMR Packages, Structured Data Analysis and Unstructured Data Analysis.

This course is designed for Analytics or IT professionals looking to learn Big Data skills and technologies. It will also be useful for Database professionals planning to enter the analytics industry and MBA Students/Recent engineering graduates pursuing a career in Big Data or Data Science

“The Big Data team at Jigsaw has really worked hard together with Wiley to develop this course and we are really excited about the launch. The instructors are all highly experienced industry professionals and so we are really able to give students a practical real life view of how to approach Big Data issues.” says Gaurav Vohra, CEO of Jigsaw. “They also get to work hands on, on Hadoop clusters to manage large data, as well as other real world case studies that involve massive data sets via the Jigsaw Labs. We hope that this Big Data certification course will open doors for those who want a career in Big Data. This is also perhaps what the industry has been waiting for, as it will deliver trained professionals to fill the many Big Data positions lying vacant.” continues Gaurav.

“The course content is of very high quality. Though the topics are quite complex, what’s really great is that just like all their other courses, Jigsaw has been able to teach this one too in a fun and practical way, which makes learning it so much easier.” says Umang Chugh, who was part of the pilot batch run by Jigsaw in May.

The Big Data Certification course will officially launch on 31st August. For those interested in learning more about the course, or if you have some specific information about the course content or methodology please visit the course page and sign up for a free information session on 20th or 24th August.

About Jigsaw

Jigsaw Academy is a Bangalore based analytics training company that is run by analytics professionals. Their courses are designed and delivered by industry experts who have applied analytics to solve business problems in a variety of fields like retail, FMCG, financial services, telecom and health care. The instructors use their real-world experiences to teach analytical skills that are most valuable at the work place. Their flagship course called the Foundation course in analytics has been taken by thousands of students across the globe and has helped launch many careers in this new and exciting field. They have recently completed analytics training workshops in B schools across the country, including IIM Bangalore.

Website: http://www.jigsawacademy.com

Blog: http://www.analyticstraining.com

Mail:info(at)jigsawacademy(dot)com

Phone +91-9243522277

http://zerotoprotraining.com This video explains what is Apache Hadoop. You will get a brief overview on Hadoop. Subsequent videos explain the details.
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(November 16, 2011) Amr Awadallah introduces Apache Hadoop and asserts that it is the data operating system of the future. He explains many of the data probl…
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Albany, New York (PRWEB) September 23, 2014

Since its inception in the year 2008, the global Hadoop market has observed growth at a tremendous pace. This market valued US$ 1.5 billion in 2012 and is estimated to grow at a CAGR of 54.7% from 2012 to 2018. By the end of 2018, this market could amass a net worth of US$ 20.9 billion. With the massive amount of data generated every day across major industries, the global Hadoop market is anticipated to observe significant growth in the future as well.

Why Hadoop
Quite naturally, the mounting scales of unstructured data generated every single day from data-intensive industries such as telecommunication, banking and finance, social media, research, healthcare, and defence led to the rising adoption of Hadoop solutions.

The major factors driving the need to adopt Hadoop are its cost-sensitive and scalable methodologies of data handling. Hadoop has taken the big data market by storm, levelling all other data management technologies that ruled the market before its inception in 2008.

Browse Full Global Hadoop Market Research Report With Complete TOC: http://www.transparencymarketresearch.com/hadoop-market.html

Some might ask, Why switch to Hadoop when RDBMS can serve the purpose? There are multiple answers but three major ones make this technology stand apart – massive data storage, faster processing, and cost effectiveness.

Hadoop can effectively run on commodity hardware and, process data in a much faster pace. Where data handling charges for one terabyte of data can take anywhere around 10 to 14 thousand US dollars with a RDBMS solution, the same requires anywhere near 4,000 US dollars with a Hadoop solution. Hourly operational cost of Hadoop is nearly 32 U.S. dollar, whereas that with RDBMS is nearly 98 U.S. dollars. The Data Warehousing Institute was able to process only 10% of its sales data in a week’s time by applying traditional data handling solutions in 2012. Now, with Hadoop-based solutions, it can handle all its sales data in just one day.

Get report sample PDF copy from here: http://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=719

The telecommunication industry is the major driving industry of the Hadoop market. Due to its enormous networks and the propagation of smart devices in the market, this industry has the natural tendency of producing huge volumes of data. For handling data of such massive volumes, no other technology can prove of more effect than Hadoop. The sector of government agencies is also shifting from legacy systems to Hadoop based solutions for effective data management. Due to the vast data analyzed by the retail industry, for studying consumer preferences, the retail industry also presents huge growth opportunities for the global Hadoop market.

Regional players of the global Hadoop market
From a geographic perspective, North America represents the leading regional market for Hadoop solutions, followed by Europe. North America is home to Internet technology and social media giants such as Google, Yahoo, and Facebook. Along with these Internet-based market palyers, the retail sector in this region also proposes myriad growth opportunities for the Hadoop market. Government agencies such as U.S. Department of Defense, U.S. Intelligence Agencies, and Obama Administration Big Data Initiative also use Hadoop solutions for handling and analyzing the huge amount of data generated from the entire country.

Browse the full article of this report: http://www.transparencymarketresearch.com/article/global-hadoop-market.htm

Foreword
With the data in every industry growing so rapidly, and the production of unstructured data forming nearly 90% of the data today, enterprises need to re-evaluate the methods they used for storing, managing and analyzing data. Traditional systems will remain important for handling specific low- to high-volume workloads in the future as well. But they will work in a way to compliment the use of Hadoop and optimize the data management structure in organizations. The scalability, cost-effectiveness, and streamlined nature of Hadoop will make the data more and more useful. In fact, the need for Hadoop in today’s tech-forward world is no longer a question. The only question is how to best exploit it.

Hadoop Explained

With the almost unfathomable increase in web traffic over recent years, driven by millions of connected users, businesses are gaining access to massive amounts of complex, unstructured data from which to gain insight.When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how this data was stored and analysed. Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed bus

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Why the world's largest Hadoop installation may soon become the norm
Yahoo! may not have the same cachet today as Google, Facebook, and Twitter, but it has something none of them do: bragging rights to the world's largest Hadoop cluster. How big? Well, according to the Apache Hadoop website, Yahoo! has more than …
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CIOs Uncertain About Hadoop's Value: Barclays
Analytics software remains a top spending priority for CIOs, but they admit uncertainty over how to employ the Big Data technology Hadoop, according to a Barclays PLC survey released Wednesday. Data warehousing and analytics, traditional technologies …
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Intel: Hey, enterprises, drop everything and DO HADOOP
IDF 2014 How important will Big Data be to the typical enterprise IT department within the next few years? More important than any other workload, if you believe Intel. "Within a couple of years, Hadoop will be the number one application. It will be …
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http://strataconf.com/stratany2013/public/schedule/detail/31591 Hadoop started as a storage and batch processing architecture, modeled on the pioneering work…

http://hadoopnodes2all.blogspot.in/ It Blogger hadoop video tutorial. See videos of your knowledge and share it with Blogger. This bolg will help you a lot. …
Video Rating: 4 / 5

Hadoop on eBay:

http://www.intricity.com/basic/intricity101-landing-page -For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy…

by YDN Korea

Article by Zoltan Mesko

ClouderaS Developer Training For Hadoop Delivers Key Concepts And Expertise – Web Development

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Hadn’t there been any Cloudera, there wouldn’t have been Yahoo! and Facebook. Well, almost. Today, Cloudera has become synonymous with biggie web giants because it makes Hadoop. Hadoop in turn controls their search engines and determines the ads displayed next to the results. Therefore, there is a mad rush to learn the ways Cloudera oprates and functions; executing a search engines data processing. Cloudera also offers services, training and support for Hadoop and other applications (Cloudera Training for HBase and Cloudera Training for Apache Hive and Pig).

Cloudera’s Developer Training for Hadoop delivers key concepts and expertise necessary to create robust data processing applications using Apache Hadoop. Through lecture and interactive, hands-on exercises, students navigate the Hadoop ecosystem, learning topics such as; MapReduce and the Hadoop Distributed File System (HDFS) and how to write MapReduce code, Best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms, How to leverage Hive, Pig, Sqoop, Flume, Oozie and other projects from the Apache Hadoop ecosystem, Optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster, Advanced Hadoop API topics required for real-world data analysis.

Similarly, Cloudera’s training course for Apache HBase provides Hadoop developers and administrators with the skills they need to install and maintain HBase and develop client code. HBase is an open-source, non-relational, distributed database that provides a fault-tolerant, scalable way to store massive quantities of data. It supports extremely high-volume reads and writes, scaling up to hundreds of thousands of operations per second. It is being used in production by numerous organizations who want extremely high-speed, random read/write access to very large datasets.

Students are imparted with original knowledge and extensive skills regarding HBase. These include; Introduction to Apache HBase, Schema modeling, Apache HBase shell, Apache HBase architecture, Apache HBase Java APIs, Advanced Apache HBase features, Apache HBase deployment.

The Cloudera Training for Apache Hive and Pig work out as follows. Hive makes Hadoop accessible to users who already know SQL; Pig is similar to popular scripting languages. Students who have basic familiarity SQL and/or a scripting language can take this training well. In the Training for Hive and Pig you learn, How Hive augments MapReduce, How to create and manipulate tables using Hive, Hive’s basic and advanced data types, Partitioning and bucketing data with Hive, Advanced features of Hive, How to load and manipulate data using Pig, Features of the PigLatin programming language, Solving real-world problems with Pig.

About the Author

Get Cloudera Hadoop Training by OSSCube, Asias first Cloudera Training Partner. Consulting, Migration and Integration.OSSCube has a pool of SugarCRM Experts to provide Hadoop Services not only for small and medium scale businesses as well as corporates.

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whereby the original author’s information and copyright must be included.

Zoltan Mesko

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