AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 97

Data Lake Analytics Snapshot Data Quality 97

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. You can obtain the table snapshots by querying for db.table.snapshots.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

FEBRUARY 12, 2024

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier. Apart from incremental analytics, Redshift simplifies a lot of operational aspects.

Analytics 117

Analytics Data Warehouse Snapshot Cost-Benefit 117

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

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Enterprise Data Warehouse Snapshot Cost-Benefit 103

Cloudera

FEBRUARY 8, 2024

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions.

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Snapshot Metadata Cost-Benefit Data Warehouse 91

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

Metrics 93

Metrics Data Warehouse Dashboards Snapshot 93

AWS Big Data

MARCH 18, 2024

Namespaces group together all of the resources you use in Redshift Serverless, such as schemas, tables, users, datashares, and snapshots. First, we need to give our Redshift namespace permission via AWS Identity and Access Management (IAM) to access subscriptions on AWS Data Exchange. Workgroup – A collection of compute resources.

Data Warehouse 102

Data Warehouse Visualization Snapshot Data-driven 102

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. The following figure shows a daily usage KPI. Vijay Bagur is a Sr.

Data Warehouse 106

Data Warehouse KPI Optimization Cost-Benefit 106

AWS Big Data

JULY 19, 2023

We show how to perform extract, transform, and load (ELT), an integration process focused on getting the raw data from a data lake into a staging layer to perform the modeling. Each serves a different view of the business process. We discuss implementing dimensions and facts within Amazon Redshift.

Modeling 83

Modeling Sales Data Warehouse Snapshot 83

AWS Big Data

MARCH 3, 2023

From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade. Data export As stated earlier, some customers want to get an export of their test data and create their data lake.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

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Data Lake Management Metrics Data Warehouse 120

AWS Big Data

JULY 28, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools. Change the settings for existing Data Catalog resources.

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Data Lake Data Governance Data Warehouse Modeling 80

CIO Business Intelligence

OCTOBER 31, 2024

Además, los Snapshots SafeMode realizan unas copias de datos que, en caso de ciberataque, no pueden borrarse, modificarse, ni cifrarse , con lo que mitigan el impacto de un ataque de ransomware. Además, el AC Milan está desarrollando un data lake compuesto por los datos médicos y de rendimiento de los jugadores con el mismo objetivo. “La

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Snapshot Data Lake Technology Recreation/Entertainment 109