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An introduction to Wazi as a Service

IBM Big Data Hub

With flexible consumption-based pricing, it provides on-demand access to z/OS systems, dramatically improving developer productivity by accelerating release cycles on secure, regulated hybrid cloud environments like IBM Cloud Framework for Financial Services (FS Cloud). How IBM Cloud Financial Service Framework help in industry solutions?

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Orchestrate Amazon EMR Serverless jobs with AWS Step functions

AWS Big Data

Amazon EMR Serverless provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark and Apache Hive. With EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks.

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Generic orchestration framework for data warehousing workloads using Amazon Redshift RSQL

AWS Big Data

This post explains how you can create a generic configuration-driven orchestration framework using AWS Step Functions , Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda , Amazon DynamoDB , and AWS Systems Manager to orchestrate RSQL-based ETL workloads. The following diagram illustrates the architecture of the orchestration framework.

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Application modernization overview

IBM Big Data Hub

Generative AI-assisted API mapping called out in this paper is a mini exemplar of this. Generative AI also helps generate target design for specific cloud service provider framework through tuning the models based on a set of standardized patterns (ingress/egress, application services, data services, composite patterns, etc.).

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Threads Dev Interview 2: @alexanderbellgram

Data Science 101

For back-end, we use ASP.NET Core for our internal API endpoints. We also have some legacy code written in.NET Framework that’s part of a monorepo. We also have some legacy code written in.NET Framework that’s part of a monorepo. Which is a great framework by the way. NET framework to solve customer problems.”

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Build event-driven architectures with Amazon MSK and Amazon EventBridge

AWS Big Data

These applications can be built using frameworks such as Apache Flink, Apache Spark, or Kafka Streams. Although some of those frameworks support sending events to downstream systems other than Apache Kafka, there is no standardized way of doing so across frameworks. Select Create a new API destination.

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Mastering identity security: A primer on FICAM best practices

IBM Big Data Hub

FICAM definitions Federal Identity, Credential, and Access Management (ICAM) is a comprehensive framework of security protocols designed to aid federal organizations in managing, monitoring, and securing access to their resources. Secure access to APIs To augment interoperability, deploy ICAM capabilities open standards such as OAuth2.

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