Category: Databases & Big Data

Building Real-Time Analytics Systems 0

Building Real-Time Analytics Systems

eBook Details: Paperback: 218 pages Publisher: WOW! eBook (October 24, 2023) Language: English ISBN-10: 1098138791 ISBN-13: 978-1098138790 eBook Description: Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this Building Real-Time Analytics Systems practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Learn...

Modern Data Architectures with Python 0

Modern Data Architectures with Python

eBook Details: Paperback: 318 pages Publisher: WOW! eBook (September 29, 2023) Language: English ISBN-10: 1801070490 ISBN-13: 978-1801070492 eBook Description: Modern Data Architectures with Python: Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You’ll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake. Starting with the fundamentals, this book will help you build pipelines on Databricks, an...

Machine Learning for Emotion Analysis in Python 0

Machine Learning for Emotion Analysis in Python

eBook Details: Paperback: 334 pages Publisher: WOW! eBook (September 28, 2023) Language: English ISBN-10: 1803240687 ISBN-13: 978-1803240688 eBook Description: Machine Learning for Emotion Analysis in Python: Kickstart your emotion analysis journey with this step-by-step guide to data science success Artificial intelligence and machine learning are the technologies of the future, and this is the perfect time to tap into their potential and add value to your business. Machine Learning for Emotion Analysis in Python helps you employ these cutting-edge technologies in your customer feedback system and in turn grow your business exponentially. With this book, you’ll take your foundational data science skills and...

Designing and Implementing Cloud-native Applications Using Microsoft Azure Cosmos DB: Study Companion for the DP-420 Exam 0

Designing and Implementing Cloud-native Applications Using Microsoft Azure Cosmos DB

eBook Details: Paperback: 218 pages Publisher: WOW! eBook (September 16, 2023) Language: English ISBN-10: 1484295463 ISBN-13: 978-1484295465 eBook Description: Designing and Implementing Cloud-native Applications Using Microsoft Azure Cosmos DB: Study Companion for the DP-420 Exam (Certification Study Companion Series) This book will help prepare you for the Microsoft DP-420 exam. Whether you are new to Azure Cosmos DB or have experience working with the platform, Designing and Implementing Cloud-native Applications Using Microsoft Azure Cosmos DB is organized to address the specific skills measured in the DP-420 exam. The topics covered include NoSQL models, code, and real-world scenarios aimed at helping you to...

Practical MongoDB Aggregations 0

Practical MongoDB Aggregations

eBook Details: Paperback: 243 pages Publisher: WOW! eBook (October 10, 2023) Language: English ISBN-10: 1835080642 ISBN-13: 978-1835080641 eBook Description: Practical MongoDB Aggregations: Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasks Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and...