February - 6 - 2015 1 COMMENT
Cloudera Data Analyst Training is a three-day course for analysts, BI specialists, developers, and administrators who want to process massive and complex dat…
January - 16 - 2015 ADD COMMENTS
Big Data Technology eBay auctions you should keep an eye on:
September - 25 - 2014 ADD COMMENTS
Today all leading organizations are rapidly gaining power by leveraging data to gain insights and drive business decisions. Predictive Analytics is a powerful statistical technique by which data from past behavior is analyzed to make predictions about future. Business Analytics on the other hand, comprises of simpler analytics techniques to evaluate business performance.
Although analytics as a function is quickly becoming core to business, there appears to be a huge gap in analytical talent. A recent study by Accenture published a month ago, found the top in-demand skill gap for US Workers as problem solving, analytical skills and managerial skills. Another source of truth, McKinsey Global Institute’s report on Big Data predicts shortage of 1.5mm analysts/managers who can make data driven decisions (by 2018, in the US).
On the other side, we see some universities starting to offer degree in Analytics. North Carolina State University and Northwestern University are two of the well-known universities that have started Master’s degree in Analytics. Stanford and many other universities offer professional development courses through their statistics, data mining, or other departments. But these programs tend to be somewhat academic and more appropriate for professionals looking to get into data scientist or advance analytics roles.
There is still a big gap in truly making analytics accessible to business professionals who are already in the job and are making decisions that can be improved by using analytics. For these busy professional, there needs to be short business analytics training.
We at Aryng recognized this gap and have brought together a unique business analytics training program to address the skill gap. Aryng’s business analytics workshop marries years of practical business experience with technical data analysis skills to deliver a short course to quickly ramp-up professionals in data-driven decision making process. In order to introduce business professional to more advance topics, we have a short predictive Analytics workshop covering fundamentals of predictive analytics, terminologies, case studies from Fortune 100 companies and live model building demo.
Our next Analytics workshop, hosted at Grand Hyatt in San Francisco, starts February 22 to 24, 2012. It is for any professional wanting to learn analytics to make better decisions based on data. The workshop is divided into two parts: Hands-on Business Analytics Workshop and Introduction to Predictive Analytics Workshop.
This program: 2-days of business analytics workshop and 1-day of predictive analytics workshop – not only serves as a as a great primer for business professionals new to analytics but also complete refresher for any seasoned analyst. The instructors are senior analytics executives from Fortune 100 companies like PayPal, Capital One, Adobe, and HSBC, who have come together and packaged the essentials of their analytics careers. This trove of knowledge is presented in a simple, hands-on manner, for easy learning by both Business and Analytics professionals in a short, 3-day time period.
If you are a business professional, looking to give your career a boost, by making smarter decision, sign up today for this unique, 3-day Predictive Analytics and Business Analytics Training!
Piyanka Jain, CEO of Aryng, former Head of Business Analytics at PayPal NA, is an established analytics thought leader and acclaimed keynote speaker at business and analytics conferences. For more information about Aryng, go to http://www.Aryng.com.
September - 14 - 2012 ADD COMMENTS
Article by Zoltan Mesko
ClouderaS Developer Training For Hadoop Delivers Key Concepts And Expertise – Web Development
Search by Author, Title or Content
Article ContentAuthor NameArticle Title
Home
Submit Articles
Author Guidelines
Publisher Guidelines
Content Feeds
RSS Feeds
FAQ
Contact Us
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.
Use and distribution of this article is subject to our Publisher Guidelines
whereby the original author’s information and copyright must be included.
Zoltan Mesko
Article Directory
About
FAQ
Contact Us
Advanced Search
Privacy Statement
Disclaimer
GoArticles.com
April - 7 - 2012 ADD COMMENTS
Cisco, EMC, VMware Team Up on Networking, Cloud Training
The joint educational effort, announced April 2, comes at a time when technology trends, including cloud computing, big data and converged infrastructures, are significantly changing the way enterprise IT professionals run their data centers.
Read more on eWeek
Hadoop 2.0: MapReduce in its place, HDFS all grown-up
Certain Data Mining engines have used that to particular advantage before, and the Hadoop community is very large, so this has major potential. We may also see optimized algorithms evolve for specific hardware implementations of Hadoop.
Read more on ZDNet (blog)