Click here to learn more about author Jon Pilkington. It is the era of Big Data. Businesses are generating data at an ever-increasing rate and with this rising tide of information comes the need for secure storage and extreme organization. The problem is that the traditional method of using Data Warehouses, which structure data into […]
Moving Forward with Big Data: Investments, Challenges, and Predictions
People are using computers, smart phones, and laptops with increasing regularity. As a result, businesses are collecting and storing huge amounts of data, or Big Data. Acquiring insights from all this information is a challenge, but is also key to achieving a competitive advantage. Analytics solutions that find unstructured and structured data can help tremendously […]
Big Data Attack Plan: Distributed Data Lakes
by Angela Guess Mary Shacklett recently wrote in TechRepublic, “A democratization of the big data and analytics process can’t come soon enough for many organizations. This point was made clear during a talk last week with Michele Goetz, principal analyst for Forrester, and Ben Szekely, vice president and founding engineer for solutions and pre-sales at […]
Paths, Patterns, and Lakes: The Shapes of Data to Come
Click to learn more about author James Kobielus. Data doesn’t exist outside your engagement with it. Or, rather, it may physically exist, but it’s little more than a shapeless mass of potential insights until you attempt to extract something useful from it. Drilling for actionable intelligence can take either of two approaches: query for it or […]
Pros and Cons: Warehouse vs. Data Lakes
Learn more about Thomas Hazel. This column will not be the proverbial “Pros and Cons” article, weighing the good with the bad. One can find such content habitually year after year and month after month, all of which will outline the obvious advantages and disadvantage between any two things. This is particularly prevalent in the […]