M. - ebooki
Tytuły autora: M. dostępne w księgarni Ebookpoint
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Power BI for Finance. Design effective dashboards, models, and forecasts for finance teams
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SQL for Data Analytics. Analyze data effectively, uncover insights and master advanced SQL for real-world applications - Fourth Edition
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The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform
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The Official MongoDB Guide. Resilience, scalability, security and performance
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SQL Crash Course
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Data Preparation and Analysis
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Neo4j: The Definitive Guide. Hands-On Recipes for Production-Ready Graph Implementations
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Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych. Wydanie II
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Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI
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Modelowanie danych przy użyciu Microsoft Power BI
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DuckDB: Up and Running
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Prywatność danych w praktyce. Skuteczna ochrona prywatności i bezpieczeństwa danych
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Aerospike: Up and Running. Developing on a Modern Operational Database for Globally Distributed Apps
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Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance
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Struktury danych z przymrużeniem oka. Zabawna przygoda z przykładami pachnącymi kawą
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SQL Pocket Primer. A Comprehensive Guide to SQL and MySQL for Data Professionals
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Streaming Databases
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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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PostgreSQL 15 Cookbook
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Big Data and Analytics
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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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Deciphering Data Architectures
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Mastering Amazon Relational Database Service for MySQL
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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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PowerShell Essential Guide
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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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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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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie
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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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Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
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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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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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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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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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Real-World Implementation of C# Design Patterns. Overcome daily programming challenges using elements of reusable object-oriented software
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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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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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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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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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Zaawansowana analiza danych. Jak przejść z arkuszy Excela do Pythona i R
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Projektowanie baz danych dla każdego. Przewodnik krok po kroku. Wydanie IV
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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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Oracle 19c AutoUpgrade Best Practices
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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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Skazany na sukces. Kariera w Data Science
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RDBMS In-Depth
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Redis? Deep Dive
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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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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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Oracle GoldenGate With Microservices
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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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Wprowadzenie do systemów baz danych. Wydanie VII
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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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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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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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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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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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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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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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T-SQL dla zaawansowanych. Przewodnik programisty. Wydanie IV
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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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Data Analytics with Hadoop. An Introduction for Data Scientists
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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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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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Delphi 2007 dla WIN32 i bazy danych
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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
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Learning PostgreSQL. Create, develop and manage relational databases in real world applications using PostgreSQL
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Mastering Tableau 2026. Implement advanced data visualizations, BI techniques and AI-powered analytics with Tableau - Fifth Edition
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to Power BI, data storytelling, AI tools, and Microsoft Fabric - Fourth Edition
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Building Responsible AI with Python. Learn to identify and mitigate bias with hands-on code examples
