Data quality and reliability for the cloud
The holy grail of “trust in data” from data to insight journey of enterprises is not entirely new. Since BI and analytic workloads are separated
The holy grail of “trust in data” from data to insight journey of enterprises is not entirely new. Since BI and analytic workloads are separated
Can a “universal database” do the work of many special-purpose databases? That’s the promise of SingleStore’s distributed SQL database. They describe it as “the world’s
Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a
Public clouds will move from competing on commodity compute and storage to competing on full stack data analytics offerings. AWS, Azure, GCP, Alibaba and other
Even with heavy investments and continued innovation, Google’s cloud business remains a disappointing No. 3 in the market. But the new head of the division,
The advent of powerful data warehouses in the cloud is changing the face of big data analytics, as companies move their workloads into the cloud.
The growing momentum of big data in the cloud has been described as a threat to Cloudera Inc., which is ironic given that the company’s
You are planning to complement your traditional data warehouse architecture with big data technologies. Now what? Should you upskill your existing data warehouse team? Or
In a recent Teradata survey, 96% of business leaders who responded said they consider a big data analytics strategy vital for the future success of
As a data engineer, I enjoy my work. But when it comes to integrating and managing data, there are quite a few tasks that are
Data lakes are synonymous with Hadoop to many people grappling with the promise and the peril of big data. That’s not surprising, considering Hadoop’s unparalleled