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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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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. But with advancements in infrastructure such as cloud computing and multicore machines with large RAM, Apache Spark started to gain visibility by performing better than Apache Hive.

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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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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

Does data excite, inspire, or even amaze you? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry.

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Lessons learned building natural language processing systems in health care

O'Reilly on Data

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers).

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).