Big Data is a data set so large and complex that traditional data-processing software are not capable to process and handle them. Examples of big data include the posts stored on Facebook’s servers, the information Google gets from tracking car rides, data generated within healthcare systems and so much more. Big data has become big business in today’s commercial world, and this has created a great opportunity for aspiring data scientists, IT experts and beyond. And here to get you started with skills in processing and managing big data is The Big Data Hadoop Spark & Administrator Master Bundle. This 6-course bundle is your ideal starting point for anyone aspiring to break into big data. You will master how the components of the Hadoop ecosystem fit in with the big data processing lifecycle and beyond. You will learn the Hadoop fundamentals and prepare you for Cloudera’s CCA175 Big data certification. Through 24 hours of content 24/7, you will acquire practical … [Read more...] about The Big Data Hadoop Spark & Administrator Master Bundle [6-Courses]
Managing big data
Your data can work a lot harder to help recruit, engage and retain top talent. Marc Rind Published 4:30 am PDT, Thursday, July 12, 2018 Photo: Volker Möhrke | Getty Images Image 1of/1 CaptionClose Image 1 of 1 Photo: Volker Möhrke | Getty Images How Big Data Can Help You Find and Hire the Most Elusive Talent 1 / 1 Back to Gallery Gone are the days when businesses had a wealth of qualified candidates competing over every job opening. With U.S. unemployment hovering around historic lows of 4 percent, a growing number of jobs being created nationwide, and more than 10,000 baby boomers retiring daily, organizations are struggling to recruit top talent from the market while retaining their current employees. Today’s market for talent is a seller’s market, and the dynamic of hiring is changing … [Read more...] about How Big Data Can Help You Find and Hire the Most Elusive Talent
Internet of things (IoT) data promises to unlock unique and unprecedented business insights, but only if enterprises can successfully manage the data flowing into their organizations from IoT sources. One problem enterprises will encounter as they try to elicit value from their IoT initiatives is data drift: changes to the structure, content, and meaning of data that result from frequent and unpredictable changes to source devices and data processing infrastructure. Whether processed in stream or batch form, data typically moves from source to final storage locations through a variety of tools. Changes anywhere along this chain -- be they schema changes to source systems, shifts in the meaning of coded field values, or an upgrade or addition to the software components involved in data production -- can result in incomplete, inaccurate, or inconsistent data in downstream systems. The effects of this data drift can be especially pernicious because they often go undetected for long … [Read more...] about Tame unruly big data flows with StreamSets
In the wake of the tragic events in Newtown, Conn., The Atlantic writer Marc Parrish called for a basic database to track and flag rapid weapon buildups and suspicious purchases. “‘Big data’ might have stopped the massacres in Newtown, Aurora, and Oak Creek,” Parrish wrote, and he goes on to argue that tracking and analyzing ammunition and gun purchases would be “trivial” from a technology perspective, in comparison to vast efforts of large marketing departments to understand the buying patterns of current and potential customers. VentureBeat invited entrepreneur Bruno Aziza and blogger Andrew Brust for a first-of-its-kind debate on whether Big Data is a solution to America’s big gun problem. Which side do you agree with? Both our experts reference the film Minority Report as the potential of big data goes far further than a database. Parrish argues that “red flags,” or anomalies, would emerge from this … [Read more...] about Can big data solve America’s gun problem?
What a difference a year makes. At the end of 2013, the industry was still debating whether Hadoop and related big data technologies were going to become mainstream or were just niche technologies for Internet companies. A year later, the answer is clear — Hadoop is without question the foundation of the new data stack, the first of the Hadoop distributions (Hortonworks) is now a public company, with others sure to follow. This is putting a spotlight on the next layer up the stack — big data analytics — and the use cases that will be unlocked and transformed by collecting and connecting vast quantities of raw data and empowering business analysts with new capabilities. In 2015, we’ll see the impact of big data across almost every industry sector, and there will be a multitude of proof points that go beyond vague claims often seen today. Here are five trends to watch for over the next 12 months: 1. Big data analytics fills security void Big data analytics will … [Read more...] about 5 big data trends to watch out for in 2015