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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue

AWS Big Data

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3).

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Migrate data from Google Cloud Storage to Amazon S3 using AWS Glue

AWS Big Data

Today, we are pleased to announce a new AWS Glue connector for Google Cloud Storage that allows you to move data bi-directionally between Google Cloud Storage and Amazon Simple Storage Service (Amazon S3). With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

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2021 Data/AI Salary Survey

O'Reilly on Data

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. At the same time, employees were reluctant to look for new jobs, especially if they would require relocating—at least according to the rumor mill. Were those concerns reflected in new patterns for employment?

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How Indian CIOs are staying ahead of changing demand for skills

CIO Business Intelligence

This happens through reports like those published by the Reserve Bank of India, industry consulting majors, and technology papers among others,” he told CIO.com. However, he also considers the possibility of new technologies emerging. “We We follow industry developments quite closely and do our own research. Mindset over skillset.

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Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

The self-serve HMDK TCO tool accelerates the design of new cost-effective Amazon EMR clusters by analyzing the existing Hadoop workload and calculating the total cost of the ownership (TCO) running on the future Amazon EMR system. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution.

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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

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