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What Is Hyperautomation?

O'Reilly on Data

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. The data available to our retail business is much more limited.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Flexible data architectures can integrate new data sources, incorporate new technologies, and evolve with business needs.

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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. You can use a simple visual interface to compose flows that move and transform data and run them on serverless compute.

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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity. This step will open a new SQL query book.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements. This Glue 2.0

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Your guide to AWS Analytics at AWS re:Invent 2023

AWS Big Data

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. Book your spot early for the sessions you do not want to miss.

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Unlock scalable analytics with a secure connectivity pattern in AWS Glue to read from or write to Snowflake

AWS Big Data

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing. For Workgroup , choose blog-workgroup.

Analytics 119