Peter Backx, Dominic Gelineau - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Streaming Databases
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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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Data Governance Handbook. A practical approach to building trust in data
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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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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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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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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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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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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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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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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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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Google Analytics od podstaw. Analiza wpływu biznesowego i wyznaczanie trendów
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Practical MongoDB Aggregations. The official guide to developing optimal aggregation pipelines with MongoDB 7.0
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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis
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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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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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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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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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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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Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
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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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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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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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Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Spark. Błyskawiczna analiza danych. Wydanie II
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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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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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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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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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Learning Tableau 2022. Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities - Fifth Edition
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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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Microsoft Power BI Data Analyst Certification Guide. A comprehensive guide to becoming a confident and certified Power BI professional
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Wybrane zagadnienia informatyki technicznej. O niektórych rozwiązaniach w dziedzinie eksploracji danych inspirowanych teorią zbiorów przybliżonych
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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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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Projektowanie baz danych dla każdego. Przewodnik krok po kroku. Wydanie IV
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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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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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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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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
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Big Data. Krótkie Wprowadzenie 30
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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MongoDB Fundamentals. A hands-on guide to using MongoDB and Atlas in the real world
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Przewodnik po MongoDB. Wydajna i skalowalna baza danych. Wydanie III
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Microsoft Azure SQL Database Krok po kroku
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Learn MongoDB 4.x. A guide to understanding MongoDB development and administration for NoSQL developers
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Uczenie głębokie od zera. Podstawy implementacji w Pythonie
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Rola archiwów w procesie wdrażania systemów elektronicznego zarządzania dokumentacją. Z doświadczeń archiwów szkół wyższych, instytucji naukowych i kulturalnych oraz państwowych i samorządowych jednostek organizacyjnych
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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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MongoDB: The Definitive Guide. Powerful and Scalable Data Storage. 3rd Edition
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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Anonimizacja i maskowanie danych wrażliwych w przedsiębiorstwach
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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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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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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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MongoDB w akcji
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Scientific Computing with Python 3. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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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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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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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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NoSQL. Przyjazny przewodnik
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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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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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R: Data Analysis and Visualization. Click here to enter text
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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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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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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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The New Relational Database Dictionary. Terms, Concepts, and Examples
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Learning PostgreSQL. Create, develop and manage relational databases in real world applications using PostgreSQL
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Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana
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Spark. Zaawansowana analiza danych
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QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills
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DynamoDB Cookbook. Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB
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Sharing Big Data Safely. Managing Data Security
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Learning Redis. Design efficient web and business solutions with Redis
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Lucene 4 Cookbook. Over 70 hands-on recipes to quickly and effectively integrate Lucene into your search application
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PostgreSQL Server Programming. Extend PostgreSQL using PostgreSQL server programming to create, test, debug, and optimize a range of user-defined functions in your favorite programming language
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NoSQL. Kompendium wiedzy
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DynamoDB Applied Design Patterns. Apply efficient DynamoDB design patterns for high performance of applications
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Projektowanie baz danych dla każdego. Przewodnik krok po kroku
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Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
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OpenGL Development Cookbook. OpenGL brings an added dimension to your graphics by utilizing the remarkable power of modern GPUs. This straight-talking cookbook is perfect for intermediate C++ programmers who want to exploit the full potential of OpenGL
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Data Visualization: a successful design process
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ActionScript Graphing Cookbook. Learn how to create appealing and interactive visual presentations of your data in ActionScript with this book and
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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
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The Definitive Guide to Amazon DynamoDB. A comprehensive guide to designing, building, and delivering high-performing DynamoDB instances
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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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PostgreSQL Developer's Guide