Category: Databases & Big Data
eBook Details: Paperback: 487 pages Publisher: WOW! eBook (July 14, 2022) Language: English ISBN-10: 1484282329 ISBN-13: 978-1484282328 eBook Description: The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient...
eBook Details: Paperback: 538 pages Publisher: WOW! eBook (July 14, 2022) Language: English ISBN-10: 1484282264 ISBN-13: 978-1484282267 eBook Description: Pro Power BI Dashboard Creation: Building Elegant and Interactive Dashboards with Visually Arresting Analytics Produce high-quality, visually attractive analysis quickly and effectively with Microsoft’s key BI tool. This book teaches analysts, managers, power users, and developers how to harness the power of Microsoft’s self-service business intelligence flagship product to deliver compelling and interactive insight with remarkable ease. It then shows you the essential techniques needed to go from source data to dashboards that seize your audience’s attention and provide them with clear and accurate information. As well as producing...
eBook Details: Paperback: 466 pages Publisher: WOW! eBook (July 22, 2022) Language: English ISBN-10: 1803239425 ISBN-13: 978-1803239422 eBook Description: A Definitive Guide to Apache ShardingSphere: Become well versed with all of ShardingSphere’s features for every data management need with this comprehensive guide put together by ShardingSphere’s founder and core contributors Apache ShardingSphere is a new open source ecosystem for distributed data infrastructures based on pluggability and cloud-native principles that helps enhance your database. This book begins with a quick overview of the main challenges faced by database management systems (DBMSs) in production environments, followed by a brief introduction to the software’s kernel concept. After that, using...
eBook Details: Paperback: 258 pages Publisher: WOW! eBook (July 15, 2022) Language: English ISBN-10: 180324836X ISBN-13: 978-1803248363 eBook Description: Machine Learning for Streaming Data with Python: Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and...
eBook Details: Paperback: 568 pages Publisher: WOW! eBook; 2nd edition (July 26, 2022) Language: English ISBN-10: 1633439844 ISBN-13: 978-1633439849 eBook Description: Deep Learning with R, 2nd Edition: Deep learning from the ground up using R and the powerful Keras library! Deep Learning with R, Second Edition shows you how to put deep learning into action. It’s based on the revised new edition of François Chollet’s bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical...
eBook Details: Paperback: 352 pages Publisher: WOW! eBook (August 16, 2022) Language: English ISBN-10: 1617299197 ISBN-13: 978-1617299193 eBook Description: Effective Data Science Infrastructure: How to make data scientists productive: Simplify data science infrastructure to give data scientists an efficient path from prototype to production Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you’ll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all...
