Remove 2023 Remove Data Analytics Remove Metrics Remove Snapshot
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Enable metric-based and scheduled scaling for Amazon Managed Service for Apache Flink

AWS Big Data

Amazon Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more. We show you how to scale by using metrics such as CPU, memory, backpressure, or any custom metric of your choice. The following diagram illustrates the state machine workflow.

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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

November 2023: This post was reviewed and updated with the general availability of Multi-AZ deployments for provisioned RA3 clusters. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Originally published on December 9th, 2022.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

CREATE DATABASE aurora_pg_zetl FROM INTEGRATION ' ' DATABASE zeroetl_db; The integration is now complete, and an entire snapshot of the source will reflect as is in the destination. You can choose the zero-ETL integration you want and display Amazon CloudWatch metrics related to the integration.

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Introducing Amazon MWAA support for Apache Airflow version 2.7.2 and deferrable operators

AWS Big Data

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics. She is passionate about data analytics and networking. Set up a new Apache Airflow v2.7.2

Metrics 102
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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. BI aims to deliver straightforward snapshots of the current state of affairs to business managers. and prescriptive (what should the organization be doing to create better outcomes?).

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

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