Remove 2023 Remove Data Lake Remove Data Processing Remove Testing
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights.

Data Lake 105
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Aaand the New NiFi Champion is…

Cloudera

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. The flow he built differentiates between test or true API call before initiating a secure log in. Completeness is estimated by comparing a test result with “estimated total.”

Testing 75
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Accelerate your data warehouse migration to Amazon Redshift – Part 7

AWS Big Data

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. After you install the data extraction agent, register it in AWS SCT.

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Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center

AWS Big Data

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. How you can get started today Test out watsonx.ai and watsonx.data for yourself with our watsonx trial experience. Within the watsonx.ai

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Real-time streaming data top picks you cannot miss at AWS re:Invent 2023

AWS Big Data

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. Reserve your seat now! Your questions are welcome and encouraged.

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Make Better Data-Driven Decisions with DataRobot AI Platform Single-Tenant SaaS on Microsoft Azure

DataRobot Blog

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.