AWS Big Data

MARCH 23, 2023

It makes sharing data across LoBs non-trivial. These organizations have adopted a federated model, with each LoB having the autonomy to make decisions on their data. They use the publisher/consumer model with a centralized governance layer that is used to enforce access controls. The Iceberg table keeps track of the snapshots.

Interactive 75

Interactive Snapshot Data Lake Software 75

AWS Big Data

JULY 25, 2023

Method 2: Monitor metrics in CloudWatch Redshift Serverless publishes serverless endpoint performance metrics to CloudWatch. The Amazon Redshift CloudWatch metrics are data points for operational monitoring. These metrics enable you to monitor performance of your serverless workgroups (compute) and usage of namespaces (data).

Metrics 87

Metrics Data Warehouse Dashboards Snapshot 87

AWS Big Data

AUGUST 2, 2023

The Economic Input-Output Life Cycle Assessment (EIO LCA) method is a spend-based method that combines expenditure data with monetary-based emission factors to estimate the emissions produced. The emission factors are published by the U.S. Environment Protection Agency (EPA) and other peer-reviewed academic and government sources.

Data Lake 78

Data Lake Measurement Visualization Data Architecture 78

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

AUGUST 1, 2024

We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. Vijay Bagur is a Sr.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

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. Report and analysis the data in Amazon Quicksight QuickSight is a business intelligence service that makes it easy to deliver insights.

Modeling 75

Modeling Sales Data Warehouse Snapshot 75

AWS Big Data

DECEMBER 9, 2024

Given the importance of data in the world today, organizations face the dual challenges of managing large-scale, continuously incoming data while vetting its quality and reliability. One of its key features is the ability to manage data using branches. We discuss two common strategies to verify the quality of published data.

Data Quality 108

Data Quality Publishing Snapshot Data Lake 108

AWS Big Data

JUNE 12, 2023

SNAPSHOT-jar-with-dependencies.jar -brokers $BROKERS -secretArn $SECRET_ARN -region us-east-1 -registryName $REGISTRY_NAME -schema $SCHEMA_NAME -topic $TOPIC_NAME -numRecords 10 If the records are successfully ingested into the Kafka topics, you may see a log similar to the following screenshot. page in the GitHub repository. $

Management 86

Management Metadata Internet of Things Testing 86

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage.

Data Lake 78

Data Lake Metadata Testing Snapshot 78

AWS Big Data

NOVEMBER 6, 2024

Second, because traditional data warehousing approaches are unable to keep up with the volume, velocity, and variety of data, engineering teams are building data lakes and adopting open data formats such as Parquet and Apache Iceberg to store their data. Choose Create Firehose stream.

Metadata 108

Metadata Data Lake Management Internet of Things 108