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An introduction to Wazi as a Service

IBM Big Data Hub

In today’s hyper-competitive digital landscape, the rapid development of new digital services is essential for staying ahead of the curve. However, many organizations face significant challenges when it comes to integrating their core systems, including Mainframe applications, with modern technologies.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

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How VMware Tanzu CloudHealth migrated from self-managed Kafka to Amazon MSK

AWS Big Data

We discuss the system architectures, deployment pipelines, topic creation, observability, access control, topic migration, and all the issues we faced with the existing infrastructure, along with how and why we migrated to the new Kafka setup and some lessons learned. Our other language stack services use similar wrappers.

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Use custom domain names with Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. This lets you easily route connections to new clusters in failover or disaster recovery scenarios. You can either register a new root domain or use an existing one. Note that sslmode=verify-full will only work for the new custom endpoint.

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How FIS ingests and searches vector data for quick ticket resolution with Amazon OpenSearch Service

AWS Big Data

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. Do you ever find yourself grappling with multiple defect logging mechanisms, scattered project management tools, and fragmented software development platforms?

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15 best data science bootcamps for boosting your career

CIO Business Intelligence

The Dev Masters. Data Science Dojo is one of the shortest programs on this list, but in just five days, Data Science Dojo promises to train attendees on machine learning and predictive models as a service, and each student will complete a full IoT project and have the chance to enter a Kaggle competition. The Dev Masters.

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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

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). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.