Upcoming Webinar

Automated Data Pipelines for Your Modern Data Needs

February 27th, 2025 -11 AM PT / 2 PM ET / 1 PM CT

Automated Data Pipelines for Your Modern Data Needs

Unify, Automate, and Accelerate Your Data Pipelines

February 27th   |   11 AM PT

Sign up Now  

Category: Product

  • Blog

Data Thought Leader Krish Krishnan on Automated Data Modeling

We recently introduced our next-gen data warehouse automation (DWA) platform, Astera DW Builder, which offers an agile, metadata-driven approach to building data warehouses. Our solution is aimed at organizations that want to fast-track their project lifecycle and simplify the data…

Read more
  • Video

Integrating Customer Data in Transport Industry

Analysis of up-to-date information is necessary for planning and forecasting fleet management. Ultimately, maintaining efficient transport networks is the key to achieving success in the world of enterprise logistics. By integrating customer data as it arrives across their systems, companies in the transport sector can maintain detailed, accurate information to…

Read more
  • Video

Extracting Data from Purchase Orders in the Textile Industry

With rising competition in the textile industry, managers are looking to develop synergies in their manufacturing, logistics, and supply chain However, the large influx of data — from yield reports to supplier bills — pouring from multiple streams makes it…

Read more
  • Video

Use Data to Create a 360-degree Customer View

In today’s fast-paced business environment, enterprises must build good customer relationships in order to stay ahead of the competition. A major part of succeeding in business is understanding customer needs. A 360-degree customer view can give you the data-driven insights needed to fulfill your…

Read more
  • Blog

Integrating the Billing Process for the Utilities Sector

As the energy sector deals with new competitive pressures, optimizing efficiency across their plants and grid systems has become important than ever before. To gain insights, they must have a system in place to process large volumes of data in…

Read more