Big Data Data Warehouse Monitoring Real-time Data 
Astera
JUNE 6, 2023
ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. ETL architectures ensure data integrity and enable organizations to derive valuable insights for decision-making.
Smart Data Collective
JULY 22, 2019
For this reason, businesses of every scale have tons of metrics they monitor, organize and analyze. In many cases, data processing includes manual data entrance , painful hours of calculations and stats drafting. Get Real-Time Analysis. BI tools use the Big Data approach and apply it to your company data.
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Actian
FEBRUARY 24, 2020
If you want your business to be agile, you need to be leveraging real-time data. Recent technology trends, such as IoT, embedded sensors, data subscriptions, and mobile apps, have greatly expanded your data collection options. This is what happens when big data isn’t managed – it becomes clutter.
Astera
OCTOBER 19, 2023
Once satisfied, easily export the organized data to various formats or integrate it with downstream systems for analysis, visualization, or consumption with just a few clicks. Altair Monarch Altair Monarch is a self-service tool that supports desktop and server-based data preparation capabilities.
Astera
OCTOBER 27, 2023
What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.
Inflexion Analytics
JULY 23, 2021
The next agricultural revolution is upon us, and farms with big data initiatives are set to see big benefits. Now it’s time for the smaller farms to embrace the digital transformation. Large economic potential is linked to big data. Small farm, meet big data.
Astera
DECEMBER 18, 2023
From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”
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