Category: Databases & Big Data
eBook Details: Paperback: 553 pages Publisher: WOW! eBook (May 19, 2022) Language: English ISBN-10: 1484281578 ISBN-13: 978-1484281574 eBook Description: SAP S/4HANA Systems in Hyperscaler Clouds: Deploying SAP S/4HANA in AWS, Google Cloud, and Azure This book helps SAP architects and SAP Basis administrators deploy and operate SAP S/4HANA systems on the most common public cloud platforms. Market-leading cloud offerings are covered, including Amazon Web Services, Microsoft Azure, and Google Cloud. You will gain an end-to-end understanding of the initial implementation of SAP S/4HANA systems on those platforms. You will learn how to move away from the big monolithic SAP ERP systems and arrive at an environment with...
eBook Details: Paperback: 392 pages Publisher: WOW! eBook (April 28, 2022) Language: English ISBN-10: 1484280903 ISBN-13: 978-1484280904 eBook Description: SAP S/4HANA Conversion: A Guide to Executing and Simplifying Your Conversion Succeed in your conversion to SAP S/4HANA. This book will help you understand the core aspects and implement a conversion project. You will start with an overview of the SAP S/4HANA Conversion tools: Readiness Check, Simplification Item Check report, Maintenance Planner, Custom Code Analysis, SUM (Software Update Manager), and more. You will understand the preparation activities for SAP FI (Finance), SAP CO (Controlling), SAP AA (Asset Accounting), Material Ledger, and COPA (Controlling-Profitability Analysis). And you will find...
eBook Details: Paperback: 387 pages Publisher: WOW! eBook (May 25, 2022) Language: English ISBN-10: 148428187X ISBN-13: 978-1484281871 eBook Description: Up and Running with DAX for Power BI: A Concise Guide for Non-Technical Users Take a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This Up and Running with DAX for Power BI book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the...
eBook Details: Paperback: 435 pages Publisher: WOW! eBook (May 17, 2022) Language: English ISBN-10: 1492082384 ISBN-13: 978-1492082385 eBook Description: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. With this Data Algorithms with Spark book, you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data...
eBook Details: Paperback: 400 pages Publisher: WOW! eBook (July 5, 2022) Language: English ISBN-10: 1617296708 ISBN-13: 978-1617296703 eBook Description: Learn dbatools in a Month of Lunches: Automating SQL server tasks with PowerShell commands: If you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine – all in just one month! Written by a group of expert authors including dbatools creator Chrissy LeMaire, Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective and efficient than you...
eBook Details: Paperback: 459 pages Publisher: WOW! eBook; 2nd edition (May 3, 2022) Language: English ISBN-10: 1098118952 ISBN-13: 978-1098118952 eBook Description: Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, 2nd Edition 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. You’ll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule...