Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
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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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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
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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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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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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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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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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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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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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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Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie
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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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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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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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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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Spark. Błyskawiczna analiza danych. Wydanie II
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Azure Machine Learning Engineering. Deploy, fine-tune, and optimize ML models using Microsoft Azure
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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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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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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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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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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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Data Storytelling with Google Looker Studio. A hands-on guide to using Looker Studio for building compelling and effective dashboards
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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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Real-World Implementation of C# Design Patterns. Overcome daily programming challenges using elements of reusable object-oriented software
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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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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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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Foundations of Scalable Systems
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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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Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
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Projektowanie baz danych dla każdego. Przewodnik krok po kroku. Wydanie IV
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Cassandra: The Definitive Guide, (Revised) Third Edition. 3rd Edition
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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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Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
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Skazany na sukces. Kariera w Data Science
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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Mastering Kafka Streams and ksqlDB
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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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Szeregi czasowe. Praktyczna analiza i predykcja z wykorzystaniem statystyki i uczenia maszynowego
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Learn MongoDB 4.x. A guide to understanding MongoDB development and administration for NoSQL developers
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Zapytania w SQL. Przyjazny przewodnik. Wydanie IV
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Uczenie głębokie od zera. Podstawy implementacji w Pythonie
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Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych
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Podstawy wizualizacji danych. Zasady tworzenia atrakcyjnych wykresów
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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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Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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Fundamentals of Data Visualization. A Primer on Making Informative and Compelling Figures
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Anonimizacja i maskowanie danych wrażliwych w przedsiębiorstwach
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Wprowadzenie do systemów baz danych. Wydanie VII
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NoSQL, NewSQL i BigData. Bazy danych następnej generacji
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Storytelling danych. Poradnik wizualizacji danych dla profesjonalistów
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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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Inżynieria niezawodnych baz danych. Projektowanie systemów odpornych na błędy
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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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Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
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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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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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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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Wywiad telefoniczny ze wspomaganiem komputerowym (CATI). Działania ankieterskie w call centers
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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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NoSQL. Przyjazny przewodnik
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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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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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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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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
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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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Budowa nowoczesnej platformy e-learningowej