In an era of constant change, companies’ data and analytics capabilities must rapidly adapt to ensure that the business survives, never mind competes. Organizations seek
In an era of constant change, companies’ data and analytics capabilities must rapidly adapt to ensure that the business survives, never mind competes. Organizations seek
n this post, we discuss one such example of improving operational efficiency and how we optimized our ETL process using AWS Glue 2.0 and PySpark SQL to achieve huge parallelism and reduce the runtime significantly—under 45 minutes—to deliver data to business much sooner.
We did this by running a SQL query repeatedly in Amazon Redshift , incrementally processing 2 months at a time to account for several years of historical data, with several hundreds of billions of rows in total.
In our work with Google Cloud customers, we hear great stories of growth, change, and cloud success. We worked closely with Trendyol Group , a
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Most companies still face critical obstacles in the early stages of building their people analytics capabilities, preventing real progress. The majority of teams are still
Cybersecurity has become a top concern for the boards of financial-services firms, and the level of concern seems to be growing day by day. With organizations
The typical modern company is swimming in data. Whether in the form of inventory flows, manufacturing decisions, customer inquiries, or app and website clicks, there
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