Using a Semantic Layer to Propel a Data-Driven Culture
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
Data Lakes, Time-Series Data, and Industrial Analytics
The challenges of integrating time-series data into data lakes can be overcome by using the right architecture and providing the appropriate metadata.
The Promises of Data Fabric in Digital Transformation
While data lakes and warehouse store the data itself, they don’t give you the picture of your data in motion as data fabrics
How APM and AIOps Help Enterprises Cross the Big Data Skills Gap
The emergence of application performance management (APM) and AIOps for big data can help firms scale without paying up for rare
How a Closed-Loop Insight System Benefits Business
TIBCO Software, an American analytics firm, said the optimal solution for businesses is a closed-loop insight system combining data, insight, and
Cloud + Streaming Analytics + Data Science = Five Big Data Trends Now
How streaming analytics, the rise of data science and the growth of cloud could change the digital transformation path for enterprise in the coming
TCS Aims to Shift Data Warehouses on to AWS Cloud
Tata Consultancy Services (TCS) has launched Enterprise Data Lake (EDL) for Advanced Analytics on Amazon Web Services (AWS) to improve data
Are Data Lakes Hindering Digital Business Transformation?
Are the massive data lakes that have been built by enterprises over the last few years becoming a bigger stumbling block to transformation
Building a Smart Data Lake While Avoiding the ‘Dump’
A data lake needs to be fed and governed properly before analytics can discover kernels of
How a Business Intelligence Center Can Help With Fast Data
A business intelligence center of excellence can help with various real-time data challenges, including business value, data management, and
