Data lineage is imperative to every data user in your organization. Now it’s finally time to understand why. Download our latest eBook and you’ll: 1) Gain a thorough understanding of what data lineage is 2) Learn the benefits for a variety of use cases affecting the entire data pipeline (i.e. impact analysis, root cause analysis, system migration […]
Migrating from a Legacy ETL to Azure Data Factory: The 5 Things You Must Know Before Getting Started
Times are a-changing and enterprises are graduating from legacy data tools to more modern ones like Azure Data Factory. But migrating systems is no simple feat and requires endless amounts of tedious, manual work in order to lay the groundwork for an efficient migration. From all the prep work ahead of the migration to actually […]
Migrating from a Legacy Database to Amazon Redshift: The 8 Things You Must Know Before Getting Started
Is your enterprise migrating to a shiny, brand new database (hello Redshift!) in the near future? Be sure to check out our eBook to equip yourself with the 8 most important things to know and do before you migrate.
Is your enterprise migrating to a shiny, brand new database (hello Snowflake!) in the near future? Be sure to check out our eBook to equip yourself with the 8 most important things to know and do before you migrate.
Being a data professional in the finance industry is something like being in charge of the Information desk at Grand Central Station…during rush hour. Your answers need to be accurate. The stakes are high. The consequences of making a mistake or taking too long are that people are going to lose time and/or money. The […]
Do these questions sound familiar? What does this data represent? Where is this data coming from? Who is responsible for this data? How can I use this data? Why is it taking me so long to get answers to these questions so I can effectively use the data? If so, you probably already know that […]
In this white paper we look at how increasing data visibility through multilayered automated data lineage can: Provide insight into data dependencies across the enterprise Simplify the analysis of root causes for data issues Reduce risks associated with auditing and compliance …and more