Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale EPUB

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you'll examine how to analyze data at scale to derive insights from large datasets efficiently.Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you're not familiar with or prefer to focus on specific tasks, this reference is indispensable.

Similar Free PDFs
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
Machine Learning- The Mastery Bible: The definitive guide to Machine Learning, Data Science, Artificial Intelligence, Neural Networks, and Data Analytics.
Cassandra: the definitive guide: [distributed data at web scale]
Large Scale Data Analytics
Machine Learning Paradigms: Advances in Data Analytics
Data Warehousing & Data Mining : Express Learning
Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
Recent Developments in Machine Learning and Data Analytics: IC3 2018
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Data mining and warehousing
Feature Engineering for Machine Learning and Data Analytics
BIG DATA ANALYTICS: Introduction to Hadoop, Spark, and Machine-Learning
Machine Learning Paradigms: Advances in Learning Analytics
Data Analytics in Bioinformatics: A Machine Learning Perspective
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics)
Popular Authors
Popular Tags