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Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

KDnuggets

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models. It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL.

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Three Ways Data Analytics Will Progress in 2022 and Beyond

Dataversity

With that, data analytics tools have become more imperative than ever, as they can help organizations analyze changing business patterns as well as offer insightful visibility […]. The post Three Ways Data Analytics Will Progress in 2022 and Beyond appeared first on DATAVERSITY.

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Top 6 trends in data analytics for 2022

Dataconomy

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud.

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Tableau Product Innovations from Dreamforce 2022

Tableau

September 22, 2022 - 6:32pm. September 27, 2022. At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Francois Ajenstat. Chief Product Officer, Tableau. Candice Vu. So how does this all work?

Tableau 98
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Tableau Product Innovations from Dreamforce 2022

Tableau

September 22, 2022 - 6:32pm. September 27, 2022. At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Francois Ajenstat. Chief Product Officer, Tableau. Candice Vu. So how does this all work?

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

Flywheel creates a data lake (in Amazon S3) in your account where all the training and test data for all versions of the model are managed and stored. Periodically, the new labeled data (to retrain the model) can be made available to flywheel by creating datasets. One for the data lake for Comprehend flywheel.