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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. Let’s say that this company is located in Europe and the data product must comply with the GDPR.

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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science. Why should I care?

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Dairyland powers up for a generative AI edge

CIO Business Intelligence

He brought that experience with him to Dairyland in 2016 when he was appointed as the cooperative’s first CIO to oversee 24 power grids in Wisconsin, Iowa, Illinois, and Minnesota. One SCADA engineer, for example, started using generative AI “to create synthetic data for testing our SCADA systems,” Melby says. “As

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At AstraZeneca, data and AI are more than game changers – they are life changers

CIO Business Intelligence

The goal, she explained, is to knock down data silos between those groups, using multiple data lakes supported by strong security and governance, to drive positive impact across the supply chain, manufacturing, and the clinical trials of new drugs. . BIO, BioMed tracker, Amplion, 2016. Artificial Intelligence

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2016: Oracle launches with competencies across compute, storage, and networking. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. It was lately revised and updated in January 2016.

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