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Alteryx Designer: The Definitive Guide
Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experience.... -
Python for Data Analysis, 3rd Edition
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Yo.... -
Snowflake: The Definitive Guide
Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data app.... -
Essential Math for Data Science
To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical e.... -
Designing Machine Learning Systems
Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be .... -
Graph-Powered Analytics and Machine Learning with TigerGraph
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using T.... -
Python for Geospatial Data Analysis
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization .... -
Delta Lake: The Definitive Guide
Analysis and machine learning models are only as good as the data they're built on. Querying processed data and getting insights from it requires a robust data pipeline--and an effective storage solution that ensures data quality, data integrity, and performance.This guide introduces you to Delta L.... -
Advanced Analytics with PySpark
The amount of data being generated today is staggering--and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datase.... -
SQL Server Advanced Troubleshooting and Performance Tuning
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion,.... -
Practical Simulations for Machine Learning
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using s.... -
Natural Language Processing with Transformers
Since their introduction in 2017, Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using H.... -
CockroachDB: The Definitive Guide
Get the lowdown on CockroachDB, the elastic SQL database built to handle the demands of today's data-driven world. With this practical guide, software developers, architects, and DevOps teams will discover the advantages of building on a distributed SQL database. You'll learn how to create applica.... -
Microsoft Sentinel in Action - Second Edition
Author Richard Diver , Gary Bushey , John Perkins
Learn how to set up, configure, and use Microsoft Sentinel to provide security incident and event management services for your multi-cloud environmentKey FeaturesCollect, normalize, and analyze security information from multiple data sourcesIntegrate AI, machine learning, built-in and custom threat ....
Release Date 2022/02 -
Practical Python Data Wrangling and Data Quality
There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, e.... -
SQL in a Nutshell, 4th Edition
For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands.... -
Training Data for Machine Learning Models
Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace th.... -
High Performance MySQL, 4th Edition
How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from choosing the right abstraction layer for databases to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve their full potent.... -
Author Alice Zhao
If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is the ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft S....
Release Date 2021/12 -
Author Mahmoud Parsian
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 Spa....
Release Date 2021/12 -
The Language of SQL, 3rd Edition
The Language of SQL, Second EditionMany SQL texts attempt to serve as an encyclopedic reference on SQL syntax -- an approach that is often counterproductive, because that information is readily available in online references published by the major database vendors.For SQL beginners, it’s more import.... -
Author Vivek Bharathan , David E. Simmen , George Wang
The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this distributed SQL query engine can be challenging even for the most experienced engineers. This practical book shows you how to begin Presto operations at your organization to der....
Release Date 2021/11 -
Author Lorna Brown
From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have already used Tableau for years. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboa....
Release Date 2021/11 -
Author Cathy Tanimura
With the explosion of computing power, thanks to analytic databases and cloud data warehouses, SQL has become an even more powerful and flexible tool for the savvy analyst or data scientist. This practical book reveals hidden ways to get the most out of your SQL workflow.....
Release Date 2021/11 -
Author KC Tung
This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow....
Release Date 2021/10 -
Author Vinicius M. Grippa , Sergey Kuzmichev
Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL’s latest version, including its most important aspects. Whether you’re deploying an environment, troubleshooting an issue, or engaging i....
Release Date 2021/10