Remove 2012 Remove Data Lake Remove Data Processing Remove Testing
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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

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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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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Somehow, the gravity of the data has a geological effect that forms data lakes. Upcoming Events.

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Federate Amazon QuickSight access with open-source identity provider Keycloak

AWS Big Data

Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor. Test the application Let’s invoke the application you have created to seamlessly sign in to QuickSight using the following URL. Vamsi Bhadriraju is a Data Architect at AWS.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. There are multiple tables related to customers and order data in the RDS database.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.