Remove 2022 Remove Big Data Remove Data Processing Remove Optimization
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Big Data Creates Greater Divide Between CDN & Traditional Web Hosting

Smart Data Collective

A lot of the biggest changes can be traced to big data. SmartData Collective discussed some of the implications of big data for the Internet a couple of years ago. One thing that got overlooked was the role of big data in web hosting. Big data is creating a new era of hosting solutions.

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Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost

AWS Big Data

Amazon EMR with Spot Instances allows you to reduce costs for running your big data workloads on AWS. Spot Instances are best suited for running stateless and fault-tolerant big data applications such as Apache Spark with Amazon EMR, which are resilient against Spot node interruptions.

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Safely remove Kafka brokers from Amazon MSK provisioned clusters

AWS Big Data

Administrators can optimize the costs of their Amazon MSK clusters by reducing broker count and adapting the cluster capacity to the changes in the streaming data demand, without affecting their clusters’ performance, availability, or data durability. Alternatively, you may have brokers that are not hosting any partitions.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. With this launch, Amazon Athena supports two open-source query engines: Apache Spark and Trino.

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Five ways to reduce your public cloud spend with IBM Turbonomic

IBM Big Data Hub

A recent survey 1 found that cloud over-spending was higher in 2022 than in the previous year: 56% of companies surveyed admitted that spending on public cloud was significantly over budget, some by over 20% to 30% of their intended spend. Eliminate cloud waste through optimization Figure 3: IBM Turbonomic cloud cost optimization.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

4 Efforts to preserve biodiversity and natural resources gained momentum in December 2022, when countries signed a global biodiversity framework at the United Nations’ COP15 summit. The smart factories that make up Industry 4.0 Join the IBM Sustainability Community 1 Green transition creates $10.3T