Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
Strategies for Achieving Data Quality in the Cloud
Previously published in Entrepreneur.com You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud,…
Read MoreDifferences Between Data Quality and Data Observability
Do you know the differences between data quality and data observability? These two concepts are similar in some ways and…
Read MoreHow to ensure Data Trustability in your Data Lakes, Pipelines, and Warehouses?
If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if…
Read MoreComplex Data Analysis: Processes and Tools
Complex data analysis is necessary to help businesses and other organizations make sense of and use all the information they…
Read MoreData Catalog 101: 6 Benefits for Your Organization
How organized is your firm’s data? Dealing with unorganized raw data can impact your company’s efficiency, productivity, and ability to…
Read MoreEstablish autonomous data observability and trustability for AWS Glue Pipeline in 60 Seconds
Data operations and engineering teams spend 30-40% of their time firefighting data issues raised by business stakeholders. A large percentage…
Read MoreThe Importance of Maintaining Data Quality with SLAs
High-quality data is important to the operation of every organization, but how do you best ensure the data quality? One…
Read MoreWhy do Data Quality Programs Fail?
Fortune 1000 organizations spend approximately $5 billion each year to improve the trustworthiness of data. Yet only 42 percent of…
Read More7 Data Engineering Principles You Should Be Aware Of
What is data engineering, and why is it important? Data engineering is about turning the data you collect into data…
Read More5 ETL Tools You Cannot Do Without in 2022
Getting your ducks in a row is easier than managing the sprawling datasets that organizations have to juggle daily. Uncovering…
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