System News
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Articles for the keywords: Analytics
11 Jun 2017 Top Ten Articles for last few Issues [63997]
Vol 231 Issues 1, 2, 3 and 4 ; Vol 230 Issues 1, 2, 3 and 4

We track how frequently each article is viewed on the web site to determine which the readers consider the most important. For last week, the top 10 articles were:

  • 7 Ways To Secure Cloud Storage
  • 3 Things To Think About Before Firing An Employee
  • New Drone Technologies You Do Not Want To Miss
  • Tales In Tech History: Unix
  • How The CISO Moved From The Basement To The Boardroom
  • 22 Free Tools For Data Visualization And Analysis
  • 15 Tricky Job Interview Questions -- And How To Nail Them
  • Calculate The Cost Of Downtime
  • Understanding The Benefits And Threats When Building An Iot Strategy
  • AI's Ability To Process Big Data Will Shake Up Insurance

The longer version of this article has list of top ten articles for the last 8 weeks.
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10 Jun 2017 3 Kinds Of Big Data Skills All Businesses Should Hire For [64112]
insideBIGDATA, June 10th 2017

"When businesses go about things right, big data is an extremely valuable tool that can provide specific types of analytics that help those companies find or maintain success. However, without employees on staff who know how to interpret the data and apply it to a company's everyday operations and future plans, even the most powerful big data resources are largely useless. Below are three types of big data analytics that are proving increasingly relevant. Let's look at why businesses need to hire people who have solid understandings of them..."
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09 Jun 2017 Want More from Cloud? New Exadata Subscription-Based On-Premise Services [64156]
By Edgar Haren

Edgar Haren blogs, "Today we have a guest blog from our peers on the Oracle Cloud Machine team. Today Anne Plese Director, Product Marketing, Cloud Infrastructure Database Solutions discusses the value of Oracle Exadata Cloud Machine and the use cases behind this solution.

Cloud-integrated engineered systems for Oracle Databases address many of the key concerns that inhibit enterprises from making a swifter transition away from legacy on-premises infrastructures. It's fair to say that the vast majority of companies are well aware of the benefits provided by cloud-hosted applications. But for businesses that have real or perceived concerns about implementing cloud-hosted solutions for their more complex database, analytics, or OLTP needs, many of the benefits this technology provides are just out of reach..."
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08 Jun 2017 IBM Named a Leader in Gartner Magic Quadrant for Multichannel Campaign Management [64131]
IBM, June 8th 2017

IBM announced that for the seventh consecutive year, Gartner, Inc. has named IBM as a leader in the April 2017 Gartner Magic Quadrant for Multichannel Campaign Management.

IBM offers holistic visualizations of complex campaigns, exceptional support before and after implementations, and advanced analytics functions, as evidence of its completeness of vision and ability to execute. According to Gartner, "leaders consistently do considerably better in overall campaign management performance for basic and advanced campaigns, and for integration with digital marketing. They have high market visibility, high market penetration, strong market momentum and a strategic vision for growing the campaign management business."
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08 Jun 2017 Big Data Architecture [64101]
Datamation, June 8th 2017

"Big data architecture is the foundation for big data analytics. Think of big data architecture as an architectural blueprint of a large campus or office building. Architects begin by understanding the goals and objectives of the building project, and the advantages and limitations of different approaches. It's not an easy task, but it's perfectly doable with the right planning and tools.

System architects go through a similar process to plan big data architecture. They meet with stakeholders to understand company objectives for its big data, and plan the computing framework with appropriate hardware and software, data sources and formats, analytics tools, data storage decisions, and results consumption..."
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