AWS Big Data
APRIL 2, 2024
You can see the decompressed data has metadata information such as logGroup , logStream , and subscriptionFilters , and the actual data is included within the message field under logEvents (the following example shows an example of CloudTrail events in the CloudWatch Logs). You can connect with Ranjit on LinkedIn.
datapine
SEPTEMBER 29, 2022
6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team.
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erwin
SEPTEMBER 17, 2020
Speed and faster time to market is a driving force behind most organizations’ efforts with data lineage automation. More work can be done when you are not waiting on someone to manually process data or forms. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.
erwin
APRIL 29, 2020
Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. Who are the data owners? Data Governance.
Octopai
JANUARY 19, 2021
This is done by visualizing the Azure Data Factory pipelines’ full column-level with source-to-target traceability through different data transformations at the most detailed level. Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes.
AWS Big Data
DECEMBER 21, 2023
smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.
Octopai
DECEMBER 11, 2022
Commercial enterprises utilized consumer information for marketing without taking appropriate care to keep it private. Data compliance may be good tidings for consumers, customers and clients, but it’s a big pain in the neck for the organizations that need to comply. Data lineage and financial risk data compliance.
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