It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If you think of a data mart as a store of […]
Data Lakes: Safe Way to Swim in Big Data?
Streaming Data, Data Lakes Dominate Data Discussions
A growing number of data experts are confirming that 2016 is the year of action when it comes to data analytics. As a result, data professionals have moved beyond general discussions of […]
Five Key Benefits of Retiring Legacy Applications to the Data Lake
With its promise to transform data management and analytics by providing access to all data across the enterprise, the data lake is quickly becoming more than just an industry buzzword. Unlike traditional […]
Fishing for Better Big Data Insights with an Intelligent Data Lake
Fishing in a lake and a data lake are much the same. Data scientists must not only go where the fish are for big data insights, but also find a way to […]
Drowning in the Data Lake: Why a Simple Data Analytics Strategy is Better than None at All
In this special guest feature, Abdul Razack, SVP of Platforms, Big Data and Analytics at Infosys, discusses how companies are drowning in data overload and are unable to tap into big data […]
How Healthcare Big Data Lakes Aid Population Health, Patient Care
Modern healthcare big data analytics requires a new approach to flexible, advanced data management to engage patients, monitor organizations, and improve population health. We are all part of the “Information Generation,” a […]
How to Ensure Data Lakes Success
In terms of today’s enterprise data management services, a shift is now happening from the traditionally popular data warehouses to the less structured data lakes. Although there are skeptics against data lakes, […]
One Deceptively Simple Secret for Data Lake Success
Gartner turned heads last year when it declared that the majority of data lake projects would end in failure. As a self-avowed “old dog” of data warehousing, EMC’s Bill Schmarzo vehemently agrees […]
Using Analytic Pipelines to Drain Data Swamps
Hadoop excels as a platform for storing vast amounts of data, but it may or may not be the best place for enterprises to run analytic queries. Now enterprises may want to […]
Make Sure Your Data Lake is Both Just-in-Case and Just-in-Time
Thought experiment: let’s say your app gets a message from somewhere, perhaps from another app, but you don’t know from where. The message contains the number 47 but no other information. What […]
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