Remove 2020 Remove Cloud Computing Remove ETL
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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. By 2020, over 40 percent of all data science tasks will be automated. More recently, the California Consumer Privacy Act reared its head, which will go into effect in 2020.

Analytics 111
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The 2021 Executive Guide To Data Science and AI

Applied Data Science

They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs. They are skilled at deploying to any cloud or on-premises infrastructure. Data engineers are the glue that binds the products of data scientists into a coherent and robust data pipeline.

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When Scripts Aren’t Enough: Building Sustainable Enterprise Data Quality

Towards AI

2020) Scaling Laws for Neural Language Models [link] First formal study documenting empirical scaling laws Published by OpenAI The Data Quality Conundrum Not all data is created equal. The Enterprise Reality Check Heres the truth that Ive learn the hard way: The best technical solution cant fix a process problem.