Learn new skills for a promising tomorrow

Big data  (also spelled Big Data) is a general term used to describe the voluminous amount of unstructured and semi-structured data a company creates -- data that would take too much time and cost too much money to load into a relational database for analysis. Although Big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data. To clarify matters, the three Vs of volume, velocity and variety are commonly used to characterize different aspects of big data. Big data is being enabled by inexpensive storage, a proliferation of sensor and data capture technology, increasing connections to information via the cloud and virtualized storage infrastructures, and innovative software and analysis tools. Big data is not a "thing" but instead a dynamic/activity that crosses many IT borders. IDC defines it this way:  Big data technologies describe a new generation of...

EMC's journey began in 2004. The goal – improve IT efficiency and agility while enhancing security and choice for the business. Here is a quick update :  Read more on  http://www.emc.com/microsites/emc-it-proven/index.htm .  Some interesting whitepapers for reference are as below :  An IT-as-a-Service Handbook: 10 Key Steps on the Journey to ITaaS EMC IT's Journey to the Private Cloud: A Practitioner's Guide IT-as-a-Service: Guiding Principles for Achieving Financial Transparency EMC Greenplum Data Computing Appliance Enhances EMC IT's Global Data Warehouse EMC IT'S "ON-RAMP" TO THE JOURNEY TO THE PRIVATE CLOUD Replatform to    an Open, Scalable Infrastructure 70 TB of Disk Savings in 4 Days: EMC IT's Informatica Data Subset Proof of Concept 60 TB of Disk Savings in 4 Days: EMC IT's Informatica Data Archive Proof of Concept 16 TB of Disk Savings and 3 Oracle Applications Modules Retired in 3 Days: EMC IT's Informatica D...

EMC Education Services  has invested on addressing the widening knowledge gap in the industry - to enable non-EMC users, as well as  university students , to take advantage of the storage technology “ open ” curriculum to build a successful career in this high-growth industry.  As a step towards addressing the growing storage skill gap,  Information Storage and Management   course was launched. Over the years, the industry has transformed from a  classical to virtualized to  cloud environments, and so have the technologies enabling them. Keeping in mind these changes , EMC recently updated the course and launched a  new version titled  Information Storage and Management v2 .  The course gives an insight into data center key elements, intelligent storage systems,  storage networking technologies, and various business continuity options – along  with security and management of a storage infrastructure....

NET2207: VMware vSphere Distributed Switch—Technical Deep Dive    STO2980: vSphere 5 Storage Best Practices   VSP1168: Architecting a Cloud Infrastructure   VSP2825: DRS: Advanced Concepts, Best Practices and Future Directions VSP1683: VMware vSphere Cluster Resource Pools Best Practices   STO1430: Tracking Down Storage Performance Issues: A Customer’s Perspective EUC1305: What's New and What's Next for VMware View VSP1232: Avoiding the 19 Biggest HA & DRS Configuration Mistakes - 2012 Edition   Source : VMWORLD 2012

“ The Human Face of Big Data ,” the latest groundbreaking, globally crowdsourced initiative from Rick Smolan, the creator of the “Day in the Life” series. The project, made possible through primary sponsorship from EMC, is based on the premise that the real-time visualization of data collected by satellites, and by billions of sensors, RFID tags, and GPS-enabled cameras and smartphones around the world, is enabling humanity to sense, measure, understand and affect aspects of our existence in ways our ancestors could never have imagined in their wildest dreams.  The multifaceted project kicks off on September 25 with an eight-day “Measure Our World” event inviting people around the world to share and compare their lives in real time through an innovative smartphone app. The project also includes “Mission Control” events in New York, Singapore and London; “Data Detectives,” a global student initiative being conducted in conjunction with the TED organization; a stunning large-...

Some of the skill sets sort after, when looking for a Data Scientist are ( Source : Careers @ EMC )   Strong statistical foundation, with broad knowledge of deterministic and probabilistic statistical methods. Proficiency in at least one of the following statistical toolkits: SAS, R, SPSS, Matlab, Mahout/MADLib. Programming strength in at least one of the following languages: SQL, C/C++, Java, Python, Perl. Optional programming strength in the following Hadoop tools: MapReduce, Pig, Hive, Hbase. Natural ability to communicate basic quantitative concepts clearly. Natural curiosity to research and identify possible quantitative solutions to common business problems. Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself. Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operation...