Guide to big data analytics tools, trends and best practices

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  Article

  Data streaming projects aren't always a big-data deal

  Many data streaming applications don't involve huge amounts of information. A case in point: an analytics initiative aimed at speeding the diagnosis of problems with Wi-Fi networking devices. Read Now

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  Article

  Stream processing boosts online ad analytics

  Online advertising platform providers Altitude Digital and Sharethrough are both tapping Apache Spark's stream processing capabilities to support more real-time analysis of ad data. Read Now

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  Article

  Health claims processor taps Spark Streaming for better analytics

  To give healthcare providers a real-time view of the claims processing operations its systems support, RelayHealth is augmenting its Hadoop cluster with Spark's stream processing module. Read Now

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  Article

  Get big data analytics results with small sample sizes

  Data analysts often can find useful information by examining only a small sample of available data, streamlining the big data analytics process. Read Now

1Opportunities and evolution in big data analytics processes

As big data analytics tools and processes mature, organizations face additional challenges but can benefit from their own experiences, helpful discoveries by other users and analysts, and technology improvements. Big data environments are becoming a friendlier place for analytics because of upgraded platforms and a better understanding of data analysis tools. In this section, dig deeper into the evolving world of big data analytics.

• Article

  Real-time data streaming can help organizations get ahead of events

  Technologies that support real-time data streaming and analytics aren't for everyone, but they can aid organizations that need to quickly assess large volumes of incoming information. Read Now

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  Big data trends to keep an eye on

  Although the main trends in big data for 2015 may not be a huge departure from the previous year, businesses should still understand what's new in the world of big data analysis techniques. Read Now

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  Predictive models require the right understanding of big data analytics

  Before starting the analytical modeling process for big data analytics applications, organizations need to have the right skills in place -- and figure out how much data needs to be analyzed to produce accurate findings. Read Now

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  Big data project helps to improve farm irrigation efforts

  The Flint River Partnership is testing technology that analyzes a variety of data to generate localized weather forecasts for farmers in Georgia. Read Now

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  Utility turns to sensors to gain big data edge

  Big data analytics processes on data from sensors and log files can propel users to competitive advantages, but a lot of refining is required first. Read Now

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  To-do items for big data analytics project managers

  Consultant Rick Sherman offers a checklist of recommended project management steps for getting big data analytics programs off to a good start. Read Now

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  New analytics needs call for additions to data warehouse architectures

  Consultants Claudia Imhoff and Colin White outline an extended business intelligence and analytics architecture that can accommodate big data data analysis tools. Read Now

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  Access, analyze big data with the right SQL-on-Hadoop engine

  It's important to carefully evaluate the differences between the growing number of query engines that access Hadoop data for analysis using SQL, says consultant Rick van der Lans. Read Now

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  Marketers gain competitive edge with big data, data discovery tools

  Marketers have a new world of opportunities thanks to big data, and data discovery tools can help them take advantage, according to Babson professor Tom Davenport. Read Now

2News and perspectives on big data analytics technologies

Big data analysis techniques have been getting lots of attention for what they can reveal about customers, market trends, marketing programs, equipment performance and other business elements. For many IT decision makers, big data analytics tools and technologies are now a top priority. These stories highlight trends and perspectives to help you manage your big data implementation.

• Article

  Opinions vary on data security laws proposed by Obama

  President Barack Obama has introduced proposals for data security, but not everyone thinks they will address key questions for businesses. Read Now

• Article

  Teradata rolls out new big data application suite

  Teradata is the latest technology vendor making a play for businesses looking for easy-to-implement big data apps.  Read Now

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  Big data continues to expand from original roots

  What is "big data" and why is the IT industry talking about it so much? IT pros offer insights into the origins of the popular and much-hyped phrase. Read Now

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  Hadoop and big data technology: Benefits versus pitfalls

  Hadoop and its variants offer analysis for “big data” sets, but there are integration and availability limits, according to a panel at the Enzee Universe 2011 conference. Read Now

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  Survey finds split on view of analytics from execs, staffs

  In this news recap, executives assess analytic success and marketers realign their technology spending priorities. Read Now

3Best practices for implementing big data analytics projects

The stories in this section offer a closer look at what makes a big data implementation work -- and what doesn't. Experts share advice for selecting tools used in big data analytics, tips for identifying business goals, best practices for existing resources and insights into how to avoid common mistakes.

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  Don't think of it as just big data -- think wide

  To get maximum business value from big data analytics efforts, users should look to incorporate a mix of structured and unstructured information -- think of it as wide, not merely big, data.  Read Now

• Article

  What to use -- and not to use -- leads big data challenges

  Businesses looking to get real value out of big data, and avoid overwhelming their systems, need to be selective about what they analyze. Read Now

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  Big data for big data's sake is a bad idea

  IT observers caution organizations against data for data’s sake, urging instead a focus on the best technology for the business problem at hand. Read Now

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  Big data volume must be balanced with analytics needs

  Many businesses implementing big data analytics applications focus on the size of their data sets, when what they should really focus on is whether they have the right data. Read Now

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  Data-driven decision making must be part of big data mix

  C-level execs need to rely more on data and less on instincts to capitalize on big data technology, said speakers at the 2013 MIT Sloan CIO Symposium. Read Now

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  Tech, business savvy both needed on big data analytics programs

  Consultant Rick Sherman details the skill sets and roles that he thinks are vital to the success of "big data" analytics initiatives. Technical skills alone aren't enough, he says.  Read Now

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  Worst practices: What to avoid in big data analytics initiatives

  Consultant Rick Sherman details the biggest mistakes to avoid in planning and managing deployments of big data analytics tools, from focusing on the technology to overselling projects. Read Now

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  Initiating a big data analytics project: Five steps to take

  Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path. Read Now

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  Turning talk into action on big data analytics projects

  Putting an effective "big data" analytics plan in place can be a challenging proposition. Consultant Lyndsay Wise offers her advice on what to consider and how to get started.  Read Now

4Big data analytics videos

Consultants and experienced users discuss big data analytics technologies and trends in the following videos. Speakers include Colin White, president and founder of BI Research; William McKnight, president of McKnight Consulting Group; and Wayne Eckerson, director of TechTarget's BI Leadership Research unit.

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  Shifting the conversation from big data management to analytics

  Industry analyst Colin White is tired of all the talk about the three V's of "big data." He instead wants to focus on the use cases -- the analytics -- of big data. Watch Now

• Video

  Big data analytics helps trucking company track its fleet

  In a video Q&A, Timothy Leonard of U.S. Xpress explains how the trucking company uses big data analytics, real-time BI software and mobile BI apps in unison to make important business decisions. Watch Now

5Big data analytics quiz

Take this brief quiz to test what you've learned about big data analytics best practices.

• Article

  Quiz: Big data analytics technologies and techniques

  Big data analytics technologies are a must-have for today's organizations. Test your knowledge of data analysis tools and strategies. Read Now