Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Wydawnictwo Packt Publishing - ebooki
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Tytuły książek wydawnictwa: Packt Publishing
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Data Governance Handbook. A practical approach to building trust in data
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Forecasting Time Series Data with Prophet. Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool - Second Edition
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Autodesk Civil 3D 2024 from Start to Finish. A practical guide to civil infrastructure design, modeling, and analysis
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Elastic Stack 8.x Cookbook. Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Learn SQL using MySQL in One Day and Learn It Well. SQL for beginners with Hands-on Project
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition
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Practical MongoDB Aggregations. The official guide to developing optimal aggregation pipelines with MongoDB 7.0
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Serverless Machine Learning with Amazon Redshift ML. Create, train, and deploy machine learning models using familiar SQL commands
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Mastering Tableau 2023. Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau - Fourth Edition
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Responsible AI in the Enterprise. Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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LaTeX Graphics with TikZ. A practitioner's guide to drawing 2D and 3D images, diagrams, charts, and plots
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Unleashing Your Data with Power BI Machine Learning and OpenAI. Embark on a data adventure and turn your raw data into meaningful insights
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A BIM Professional's Guide to Learning Archicad. Boost your design workflow by efficiently visualizing, documenting, and delivering BIM projects
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Practical Guide to Azure Cognitive Services. Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions
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Expert Data Modeling with Power BI. Enrich and optimize your data models to get the best out of Power BI for reporting and business needs - Second Edition
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Platform and Model Design for Responsible AI. Design and build resilient, private, fair, and transparent machine learning models
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Learning Tableau 2022. Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities - Fifth Edition
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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SQL Query Design Patterns and Best Practices. A practical guide to writing readable and maintainable SQL queries using its design patterns
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Azure Machine Learning Engineering. Deploy, fine-tune, and optimize ML models using Microsoft Azure
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Data Modeling with Tableau. A practical guide to building data models using Tableau Prep and Tableau Desktop
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Machine Learning Engineering on AWS. Build, scale, and secure machine learning systems and MLOps pipelines in production
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Data Storytelling with Google Looker Studio. A hands-on guide to using Looker Studio for building compelling and effective dashboards
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Real-World Implementation of C# Design Patterns. Overcome daily programming challenges using elements of reusable object-oriented software
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The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Azure Data Engineering Cookbook. Get well versed in various data engineering techniques in Azure using this recipe-based guide - Second Edition
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Production-Ready Applied Deep Learning. Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Codeless Time Series Analysis with KNIME. A practical guide to implementing forecasting models for time series analysis applications
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Microsoft Power BI Data Analyst Certification Guide. A comprehensive guide to becoming a confident and certified Power BI professional
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Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition
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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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Actionable Insights with Amazon QuickSight. Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight
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MongoDB Fundamentals. A hands-on guide to using MongoDB and Atlas in the real world
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Learn MongoDB 4.x. A guide to understanding MongoDB development and administration for NoSQL developers
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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IBM DB2 11.1 Certification Guide. Explore techniques to master database programming and administration tasks in IBM Db2
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Scientific Computing with Python 3. Click here to enter text
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Mastering Tableau. Smart Business Intelligence techniques to get maximum insights from your data
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F# 4.0 Design Patterns. Solve complex problems with functional thinking
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MDX with Microsoft SQL Server 2016 Analysis Services Cookbook. Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes - Third Edition
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SQL Server 2016 Reporting Services Cookbook. Your one-stop guide to operational reporting and mobile dashboards using SSRS 2016
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Bayesian Analysis with Python. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
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Julia for Data Science. high-performance computing simplified
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Splunk Best Practices. Operational intelligent made simpler
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Mastering Data Mining with Python - Find patterns hidden in your data. Find patterns hidden in your data
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
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Mastering Social Media Mining with Python. Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text
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Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
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Advanced Splunk. Click here to enter text
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Mastering Redis. Take your knowledge of Redis to the next level to build enthralling applications with ease
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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Practical Data Analysis Cookbook. Over 60 practical recipes on data exploration and analysis
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Salesforce Platform App Builder Certification Handbook. A handy guide that covers the most essential topics for Salesforce Platform App Builder Certification in an easy-to-understand format
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Mastering QlikView Data Visualization. Take your QlikView skills to the next level and master the art of creating visual data analysis for real business needs
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Designing Machine Learning Systems with Python. Key design strategies to create intelligent systems
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R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
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Learning Python Design Patterns. - Second Edition
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QlikView Essentials. Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a powerful yet accessible BI solution that lets you harness your data
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Learning Qlik Sense: The Official Guide. Get the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense team - Second Edition
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SAP Data Services 4.x Cookbook. Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes