Data Quality Engineering in Financial Services
Applying Manufacturing Techniques to Data
|Price||$38.49 - $44.98
|Format||Paper book / ebook (PDF)|
Data quality will either make you or break you in the financial services industry. Missing prices, wrong market values, trading violations, client performance restatements, and incorrect regulatory filings can all lead to harsh penalties, lost clients, and financial disaster. This practical guide provides data analysts, data scientists, and data practitioners in financial services firms with the framework to apply manufacturing principles to financial data management, understand data dimensions, and engineer precise data quality tolerances at the datum level and integrate them into your data processing pipelines.
by Rajesh Jugulum
Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct ...
Price: $66.68 | Publisher: Wiley | Release: 2014
by Saurabh Gupta, Venkata Giri
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data...
Price: $24.14 | Publisher: Apress | Release: 2018
by Jay M. Patel
Price: $44.99 | Publisher: Apress | Release: 2020
by Laine Campbell, Charity Majors
The infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations. Authors Laine Campbell and Charity...
Price: $40.71 | Publisher: O'Reilly Media | Release: 2017
by Valliappa Lakshmanan
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.Throughout this updated second edition, you...
Price: $53.26 | Publisher: O'Reilly Media | Release: 2022
by Benjamin Kettner, Frank Geisler
Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure pl...
Price: $54.99 | Publisher: Apress | Release: 2022
by Ben Wilson
Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks.Ben introduces his personal toolbox ...
Price: $50.92 | Publisher: Manning | Release: 2022
by Michael Heydt
This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems.Starting with a focus on pandas data structures, you will learn to load and manipulate time-series financial data and then calculate common financial measures, leading into more advanced derivations using fixed- and ...
Price: $44.99 | Publisher: Packt Publishing | Release: 2015