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The Essential characteristics of cloud computing, as defined by NIST is as below :   There is no doubt that Cloud Computing will transforms the entire infrastructure - Store - Compute - Network Enter the new - Cloud Infrastructure and Services (CIS) Course, based on 'open' curriculum - focused on virtualization and cloud infrastructure technology concepts and principles applicable to any vendor environment.  Cloud  Infrastructure and Services (CIS)  is based on National Institute of Standards and Technology (NIST) definition of Cloud Computing What does the course cover ?   Pre- Req  Basic understanding of computer architecture, operating system, networking and database Experience in server, storage and network infrastructure will be an added advantage CIS is also aligned to  E20-002 Cloud Infrastructure and Services Exam, under EMC Proven Professional certification...

There is no doubt that Cloud Computing Transforms IT.  What does the Future Look like -  Where is Industry today ? Emergence of new roles How to get Started ? ( Bridging Skill gap thru Training programs ) EMC Proven Professional Certification EMC - Cisco - Vmware Certification Framework Cloud Security Training from RSA

Greenplum HD is enterprise-ready Apache Hadoop from EMC that allows users to write distributed processing applications for large data sets across a cluster of commodity servers using a simple programming model. This framework automatically parallelizes Map Reduce jobs to handle data at scale, thereby eliminating the need for developers to write  scalable and parallel algorithms.  Greenplum HD is an open source Apache stack and includes the following components: Hadoop Distributed File System (HDFS): File system that distributes files  across the cluster.  MapReduce: Framework for writing scalable data applications.  Pig: Procedural language that abstracts lower level MapReduce.  Hive: Data warehouse infrastructure built on top of Hadoop.  HBase: Database for random, real time read/write access.  Mahout: Scalable machine learning and data mining library.  ZooKeeper: Hadoop centralized servi...

In the legacy analytics process, data scientists face challenges in accessing and sharing the right data. GreenplumChorus helps foster a complete data science ecosystem with best-of-breed analytics applications. As a social platform for collaborative data science, Greenplum Chorus users can increase productivity, decrease administrative burdens on IT infrastructures, and get better visibility and faster access to data through a single tool. EMC recently released the Greenplum Chorus source code under an Apache open source license through the  OpenChorus  Project. The OpenChorus Project will speed innovation and adoption of collaborative data science practices, helping organizations to drive greater business insight and economic value from Big Data. Making OpenChorus accessible to Data Scientists Greenplum and Kaggle joined forces to tackle the short supply and heavy demand for data scientists with an integration between the Kaggle data science c...