Title: Metadata Matters, Author: John Horodyski
Title: Scalable Data Analytics with Azure Data Explorer: Modern ways to query, analyze, and perform real-time data analysis on large volumes of data, Author: Jason Myerscough
Title: SQL Pocket Primer, Author: Oswald Campesato
Explore Series
Title: EXPLOR BIG HISTOR DATA (2ND ED): The Historian's Macroscope, Author: Shawn Graham
Title: AI-Powered Commerce: Building the products and services of the future with Commerce.AI, Author: Andy Pandharikar
Title: Building Big Data Pipelines with Apache Beam: Use a single programming model for both batch and stream data processing, Author: Jan Lukavsky
Title: Extreme DAX: Take your Power BI and Microsoft data analytics skills to the next level, Author: Michiel Rozema
Title: Creating Actionable Insights Using CRM Analytics: Learn how to build insightful and actionable data analytics dashboards, Author: Mark Tossell
Title: IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI, Author: Hemanth Manda
Title: Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments, Author: Joshua Arvin Lat
Title: Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods, Author: Ben Auffarth
Title: Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way, Author: Manoj Kukreja
Title: Power Query Cookbook: Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data, Author: Andrea Janicijevic
Title: Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data, Author: Nathan George
Title: Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript, Author: Rising Odegua
Title: Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker, Author: Sireesha Muppala
Title: Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service, Author: Phani Raj
Title: Machine Learning Engineering with MLflow: Manage the end-to-end machine learning life cycle with MLflow, Author: Natu Lauchande
Title: Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, Author: Supun Kamburugamuve
Title: Salesforce Data Architecture and Management: A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively, Author: Ahsan Zafar

Pagination Links