3 Predictions for the Data Transformation Market
As data access to different types of data has become much easier, transforming that data to create a cohesive view is the logical next step for businesses to …
As data access to different types of data has become much easier, transforming that data to create a cohesive view is the logical next step for businesses to …
Bringing ML models into production is hard. Fortunately, community initiatives such as apply(conf) are helping.
If issues in the adoption process aren’t addressed, the value realized through IIoT will be far short of
To realize maximum value from today’s massive data volumes, enterprises must consider a new generation of GPU-based data processing
Today’s businesses increasingly rely on leveraging their exponentially growing data stores to extract actionable insights into customer behavior, security …
In today’s “new normal,” getting critical business insights from ever-growing volumes of data is both a technical and an economic
The BI pipeline built on top of Hadoop - from HDFS to the multitude of SQL-on-Hadoop systems and down to the BI tool - has become strained and slow.
Through Splunk Cloud, organizations can access Splunk’s Data-to-Everything platform, which provides data visualizations and insights without additional …
The alliance will enable IT teams to design and operationalize data pipelines for Big Data workloads using visual tools without having to write code.
Artificial intelligence, blockchain, and machine learning will also see their roles increasing according to a report from the Institute of Management …