2016 Big Data Data Lake Risk 
In(tegrate) the Clouds
DECEMBER 21, 2015
I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term?
Smart Data Collective
OCTOBER 26, 2019
Insight notes that in 2016, the most significant challenges businesses faced were maintaining their data performance and managing their extensive data. Having cost-effective off-site backup allows companies to focus more on their methodology for backing up data than the price of that method. Big Data Storage Concerns.
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datapine
AUGUST 29, 2022
The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2
Cloudera
JANUARY 22, 2019
In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.
Domino Data Lab
AUGUST 8, 2019
Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. The probabilistic nature changes the risks and process required. I’d also poured over recent talks by Chris Wiggins about data and ethics. To wit: data science is a team sport.
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