October 2022
Beginner to intermediate
174 pages
4h 48m
English
Content preview from Data Quality Engineering in Financial Services
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 7. Data Governance
This chapter introduces the primary components of data governance and provides program guidance and framework examples to help you implement a data governance initiative. The content will enable you to use the frameworks as a starting point—you will need to adjust and amend the program to your organization’s culture and important data-oriented business objectives. Consult Data Governance: The Definitive Guide by Evren Eryurek et al. (O’Reilly) for detailed and comprehensive coverage of data governance.
This chapter is intended to provide basic data governance awareness and foundational concepts that will help you understand the role data governance plays in data quality engineering.
Do any of the following data issues sound familiar?
Bad data is feeding applications.
Inaccurate analytics, trade failures, and cash flow errors.
Too many databases and data sources, prompting questions such as: Which should we use? Where is the right data? Where is our data inventory? Where did this data come from?
Inconsistent data is presented to clients.
Which data is approved for your use? When is the right data ready for you to use?
Historical data does not link together over time.
Development environments contain data that is easier to use, even though it is stale. You need the data, so you guess it is good enough.
The number looks too high, too low, or wrong. You need to manually investigate, research, and verify.
Are you getting good data from vendors? You pay ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.