Category: Data Warehouse Automation

In today’s business environment, an organization must have reliable reporting and analysis of large amounts of data. Businesses need their data collected and integrated for different levels of aggregation, from customer service to partner integration to top-level executive business decisions….

Owing to their widespread operations, enterprises resort to different types of systems that manage heterogeneous data. These systems are connected via an intricately knit data infrastructure, comprising of databases, data warehouses, marts, and lakes, storing key pieces of intelligible insights….

Data warehouse automation (DWA) is fast replacing conventional approaches to building data warehouses. Enterprise data warehouses (EDW) are critical for utilizing historical data for Business Intelligence and reporting. But, the traditional approaches to compiling and managing colossal data volumes through…

For the past few decades, the data warehouse architecture has been the pillar of corporate data ecosystems. And despite numerous alterations over the last five years in the arena of big data, cloud computing, predictive analysis, and information technologies, data…

  Team Astera attended Big Data World 2019 as a Gold sponsor and had a great experience interacting with data scientists, C-level execs, and thought leaders from across the United Kingdom and other countries. The two-day event was filled with…