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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is one example of a new technology that has changed the game. What is cloud analytics? How does cloud analytics work?

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Data Science News from Microsoft Ignite 2019

Data Science 101

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Here they are in my order of importance (based upon my opinion). Azure Synapse.

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Cloud Data Science News Beta #1

Data Science 101

Azure Synapse Analytics This is the future of data warehousing. It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service. SQL Server 2019 SQL Server 2019 went Generally Available.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

The most used open table formats currently are Apache Iceberg, Delta Lake, and Apache Hudi. These systems are built on open standards and offer immense analytical and transactional processing flexibility. Adopting an Open Table Format architecture is becoming indispensable for modern data systems. Why are They Essential?

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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

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Insiders Cite The Wondrous Benefits Of Big Data In Fortnite

Smart Data Collective

However, more mainstream games use big data as well. Fortnite is one of the games that uses big data to offer great service to its customers. Even Forbes Tech Council has written about the benefits of data lakes in Fortnite. Processing and analyzing this data — petabytes worth — must happen somewhere.

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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning Blog

We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

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