Remove 2016 Remove Data Preparation Remove ETL
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The 2016 Crystal Ball – What’s Next in Data?

Alation

Considering what we’ve seen this year in industry trends and patterns, we have compiled some predictions for 2016 from our co-founders at Alation. Venky Ganti, CTO & Co-Founder: Data sprawl will finally hit its threshold. Data sprawl has been prevalent for several years. 2016 will be the year of the “logical data warehouse.”

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.” The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown.

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Improving air quality with generative AI

AWS Machine Learning Blog

LLMs excel at writing code and reasoning over text, but tend to not perform as well when interacting directly with time-series data. The output data is transformed to a standardized format and stored in a single location in Amazon S3 in Parquet format, a columnar and efficient storage format.

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