Demystifying Spark and Hadoop for Big Data Analytics to gain business insight.

EMC

Organisations are spoilt for choice when it comes to Big Data tools with current trends promoting Hadoop as a method of analysing vast amounts of stored unstructured data. Organisations are also increasingly looking towards tools which can monitor live feeds - e.g. Twitter - to perform actions in real time based on keywords. To perform this valuable analysis Spark has become the ecosystem of choice.
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Spotlight

For the past 20 years, companies have been changing their centers of gravity in their decision making units from human expertise to big data driven systems. This change can be attributed to the biases of human experts in information processing in relation to the explosion of in-company data. This massive collection of data is often referred nowadays as big data. This Master of Science program is a very hands-on practical program that forms data driven managers who help the organization in converting the overload of company data to valuable knowledge in order to help the organization move from a subjective good-feeling base management to a more objective data driven management style.


OTHER ON-DEMAND WEBINARS

Forrester Analyst Discusses Big Data in the Cloud

join us for a live webinar Dec. 10, 2014 at 10am PST/1 pm EST hosted by Noel Yuhanna, principal analyst of enterprise architecture at Forrester Research, and Ashish Thusoo, co-founder and CEO of Qubole. The webinar will discuss how the cloud has helped companies keep up with the fast-changing technology landscape and discuss why big data is the perfect candidate to take advantage of the cloud’s agility…
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Get More Value out of Multiple Hadoop Data Centers - Hosted by O'Reilly Media

WANdisco

For businesses that depend on Hadoop for critical operations, secondary clusters are commonly used for backup, sitting idle while the primary cluster handles the workload. In this webcast, we'll examine how to get the most out of your multi-data center Hadoop investment.Topics include: Understanding how secondary data centers are typically set up and what role they play Maximizing hardware utilization by running jobs in multiple data centers. How to efficiently split tasks between clusters
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Data Science for Spreadsheet Users

DataCamp

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
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Hadoop for Data Warehousing professionals

IBM

Organizations across all industries are growing extremely fast, resulting in high volume of complex and unstructured data. The huge data generated is limiting the traditional Data Warehouse system, making it tougher for IT and data management professionals to handle the growing scale of data and analytical workload. The flow of data is so much more than what the existing Data Warehousing platforms can absorb and analyse. Looking at the expenses, the cost to scale traditional Data Warehousing technologies are high and insufficient to accommodate today’s huge variety and volume of data. Therefore, the main reason behind organizations adopting Hadoop is that, it is a complete open-source data management system. Not only does it organize, store and process data (whether structured, semi-structured or unstructured), it is cost effective as well.
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Spotlight

For the past 20 years, companies have been changing their centers of gravity in their decision making units from human expertise to big data driven systems. This change can be attributed to the biases of human experts in information processing in relation to the explosion of in-company data. This massive collection of data is often referred nowadays as big data. This Master of Science program is a very hands-on practical program that forms data driven managers who help the organization in converting the overload of company data to valuable knowledge in order to help the organization move from a subjective good-feeling base management to a more objective data driven management style.

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