Data Transformation Metadata Reference Testing 
AWS Big Data
OCTOBER 11, 2023
Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.
AWS Big Data
NOVEMBER 15, 2023
For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
datapine
SEPTEMBER 29, 2022
Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management? 2 – Data profiling.
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.
Cloudera
DECEMBER 9, 2022
Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. Figure 5: Parameter references in the configuration panel and auto-complete. Enabling self-service for developers. Interactivity when needed while saving costs.
AWS Big Data
NOVEMBER 29, 2023
dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.
AWS Big Data
NOVEMBER 16, 2023
Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge of and adherence to battle-tested best practices, and using the right tools and features in the right scenario. Data Vault 2.0
Expert insights. Personalized for you.
104 
Let's personalize your content