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 …
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
The challenges of integrating time-series data into data lakes can be overcome by using the right architecture and providing the appropriate metadata.
While data lakes and warehouse store the data itself, they don’t give you the picture of your data in motion as data fabrics
The emergence of application performance management (APM) and AIOps for big data can help firms scale without paying up for rare
TIBCO Software, an American analytics firm, said the optimal solution for businesses is a closed-loop insight system combining data, insight, and
How streaming analytics, the rise of data science and the growth of cloud could change the digital transformation path for enterprise in the coming
Tata Consultancy Services (TCS) has launched Enterprise Data Lake (EDL) for Advanced Analytics on Amazon Web Services (AWS) to improve data
Are the massive data lakes that have been built by enterprises over the last few years becoming a bigger stumbling block to transformation
A data lake needs to be fed and governed properly before analytics can discover kernels of
A business intelligence center of excellence can help with various real-time data challenges, including business value, data management, and