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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

Serving as a central, interactive hub for a host of essential fiscal information, CFO dashboards host dynamic financial KPIs and intuitive analytical tools, as well as consolidate data in a way that is digestible and improves the decision-making process. We offer a 14-day free trial. Benefit from great CFO dashboards & reports!

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275
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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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How to achieve Kubernetes observability: Principles and best practices

IBM Big Data Hub

In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures. Kubernetes tends to capture data “snapshots,” or information captured at a specific point in the lifecycle. Best practices for optimizing Kubernetes observability • Define your KPIs.

Metrics 74
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Discover and Explore Data Faster with the CDP DDE Template

Cloudera

See the snapshot below. With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences. HDFS also provides snapshotting, inter-cluster replication, and disaster recovery. . The solr.hdfs.home of the hdfs backup repository must be set to the bucket we want to place the snapshots.