Remove kubernetes-gets-back-to-scaling-with-virtual-clusters
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How to achieve Kubernetes observability: Principles and best practices

IBM Big Data Hub

Kubernetes (K8s) containers and environments are the leading approach to packaging, deploying and managing containerized applications at scale. The dynamic, open-source , microservices-based configuration of Kubernetes can be a great fit for businesses that are looking to maximize infrastructure agility.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

By promoting loose coupling between components of a system, an event-driven architecture leads to greater agility and can enable components in the system to scale independently and fail without impacting other services. One popular orchestration tool for managing workflows is Apache Airflow , which can be installed in Amazon EKS.

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From Disparate Data to Visualized Knowledge Part II: Scaling on Both Ends

Ontotext

Today we’ll deal with the big issue of scaling, tackling it on two sides: what happens when you have more and faster sources of data? Now LAZY has to get all that disparate data and store it into GraphDB. Then this data would get ingested into GraphDB, and can also be further modified by SPARQL queries. A bespoke program.

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Cloudera Data Warehouse outperforms Azure HDInsight in TPC-DS benchmark

Cloudera

This benchmark is run on the Interactive Query HDInsight cluster using the latest version. You can find all the benchmark scripts to set up and run the TPC-DS on 10TB scale here. In addition, scripts and HDInsight cluster configuration used for the benchmark can be found here. Queries on CDW run on an average 2.7x

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3x better performance with CDP Data Warehouse compared to EMR in TPC-DS benchmark

Cloudera

as we couldn’t get queries to run successfully on version 6.1.0. as we couldn’t get queries to run successfully on version 6.1.0. You can find all the benchmark scripts to set up and run the TPC-DS on 10TB scale here. In addition, scripts and EMR cluster configuration used for the benchmark can be found here.

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IBM Cloud solution tutorials: 2023 in review

IBM Big Data Hub

As it has become tradition , the team creating the looks back and shares the personal highlights of the year 2023. Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). IBM introduced watsonx as the AI and data platform built for business.

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Use Amazon EMR with S3 Access Grants to scale Spark access to Amazon S3

AWS Big Data

Amazon EMR is pleased to announce integration with Amazon Simple Storage Service ( Amazon S3 ) Access Grants that simplifies Amazon S3 permission management and allows you to enforce granular access at scale. Besides this post, you can learn more about Amazon S3 Access Grants from Scaling data access with Amazon S3 Access Grants.