Architecture Business Transformation Data Engineering Metrics 
CIO
APRIL 12, 2023
After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Business outcomes are the currency for AI to grow in an organization.
RapidValue
JULY 21, 2019
From DevOps to DataOps DataOps can be simply stated as “DevOps for data”. It is a set of practices and technologies that integrate the development and operation of data movement architectures into a continuous process. DataOps aids data practitioners to continuously deliver quality data to applications and business processes.
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TIBCO - Connected Intelligence
APRIL 15, 2021
Data-driven insight is a competitive advantage. Today, nearly every business transformation—be it greater customer intimacy, more optimized operations, or faster innovation—is fueled by data-driven insight. For highest ROI, link your data and analytics investments to your business transformation strategy.
BPM
JANUARY 18, 2019
Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.
Netflix Tech
NOVEMBER 20, 2023
The need for backfilling could be due to a variety of factors, e.g. (1) upstream data sets got repopulated due to changes in business logic of its data pipeline, (2) business logic was changed in a data pipeline, (3) anew metric was created that needs to be populated for historical time ranges, (4) historical data was found missing, etc.
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