Data Science Bundle 3rd Edition
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Snowflake Cookbook
Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations
Key Features
- Build and scale modern data solutions using the all-in-one Snowflake platform
- Perform advanced cloud analytics for implementing big data and data science solutions
- Make quicker and better-informed business decisions by uncovering key insights from your data
Book Description
Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.
You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.
As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.
By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.
What you will learn
- Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
- Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
- Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
- Optimize performance and costs associated with a Snowflake solution
- Stage data on object stores and load it into Snowflake
- Secure data and share it efficiently for access
- Manage transactions and extend Snowflake using stored procedures
- Extend cloud data applications using Spark Connector
Who this book is for
This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.
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About this Bundle
Updated once more for 2024 with 13 all new-to-Fanatical and 15 books in total, all the essential components of data science & analysis development workflows for all your complex programming needs are covered here in the latest Data Science Bundle 3rd Edition
Tier One introduces four eBooks including the Snowflake Cookbook; an in depth look at the unique cloud-based data warehousing platform built from scratch to perform data management on the cloud.
With Tier Two, you’ll not only get Tier One’s content, but also an additional 5 eBooks specifically taking an individual focus on the Python programming language and it’s related uses in the data science environment: Data Augmentation with Python is a book for data scientists and students interested in working in the AI discipline. Designed to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python; Applied Geospatial Data Science with Python is a valuable resource in this field.
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.
Tier Three is where the full value of this powerful bundle is found as you’ll receive all 15 eBooks in this bundle.
Data Science for Web3 is a brand new book showcasing industry best practices, tools, and resources needed to easily navigate the world of data in Web3. Creating efficient and dependable data science API backends is the essence of Building Data Science Applications with FastAPI while Intelligent Document Processing with AWS AI/ML is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases.
The Art of Data-Driven Business is an invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning to guide decision-making in your business.
All these and more are in this new Data Science Bundle 3rd Edition with books supplied in both EPUB and PDF formats.