AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator.

Management 108

Management Metadata Analytics Dashboards 108

AWS Big Data

OCTOBER 20, 2023

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. For instructions, refer to create key-pair here. For instructions, refer to here.

Data Processing 90

Data Processing Snapshot Data Warehouse Management 90

AWS Big Data

MARCH 28, 2023

Test SCD Type 2 implementation With the infrastructure in place, you’re ready to test out the overall solution design and query historical records from the employee dataset. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 72

Data Lake Testing Snapshot Sales 72

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. Refer appendix section for more information on this feature. Refer to the first stack’s output.

Management 79

Management Metadata Testing Internet of Things 79

AWS Big Data

NOVEMBER 1, 2023

Our pre-launch tests found that Amazon Redshift Multi-AZ deployments reduce recovery time to under 60 seconds or less in the unlikely case of an AZ failure. New queries issued at or after a failure occurs may experience run delays while the multi-AZ data warehouse is being recovered to a two AZ setup. Choose Create cluster.

Data Warehouse 97

Data Warehouse Snapshot Testing Management 97

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 99

Analytics Data Warehouse Dashboards Testing 99

AWS Big Data

AUGUST 1, 2024

Depending on your enterprise’s culture and goals, your migration pattern of a legacy multi-tenant data platform to Amazon Redshift could use one of the following strategies: Leapfrog strategy – In this strategy, you move to an AWS modern data architecture and migrate one tenant at a time.

Data Warehouse 89

Data Warehouse KPI Optimization Cost-Benefit 89

AWS Big Data

JUNE 9, 2023

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Amazon Redshift only supports Delta Symlink tables (see Creating external tables for data managed in Delta Lake for more information). This post is not intended to provide detailed technical guidance (e.g.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

AUGUST 16, 2023

Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data.

Data Lake 71

Data Lake Metadata Testing Snapshot 71

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130