Oleg Żero - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Elastic Stack 8.x Cookbook. Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
-
Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition
-
Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
-
Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis
-
Mastering Tableau 2023. Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau - Fourth Edition
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
-
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
-
Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
-
Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
-
Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
-
Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
-
Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
-
Unleashing Your Data with Power BI Machine Learning and OpenAI. Embark on a data adventure and turn your raw data into meaningful insights
-
A BIM Professional's Guide to Learning Archicad. Boost your design workflow by efficiently visualizing, documenting, and delivering BIM projects
-
Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
-
Forecasting Time Series Data with Prophet. Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool - Second Edition
-
SQL Query Design Patterns and Best Practices. A practical guide to writing readable and maintainable SQL queries using its design patterns
-
Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
-
The Enterprise Data Catalog
-
Spark. Błyskawiczna analiza danych. Wydanie II
-
Azure Machine Learning Engineering. Deploy, fine-tune, and optimize ML models using Microsoft Azure
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
-
Azure Data Engineering Cookbook. Get well versed in various data engineering techniques in Azure using this recipe-based guide - Second Edition
-
SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
-
Learning Tableau 2022. Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities - Fifth Edition
-
Codeless Time Series Analysis with KNIME. A practical guide to implementing forecasting models for time series analysis applications
-
Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
-
Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx
-
Foundations of Scalable Systems
-
Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
-
Zaawansowana analiza danych. Jak przejść z arkuszy Excela do Pythona i R
-
Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
-
The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting
-
Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
-
Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
-
Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
-
Learn MongoDB 4.x. A guide to understanding MongoDB development and administration for NoSQL developers
-
Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
-
Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych
-
Data science od podstaw. Analiza danych w Pythonie. Wydanie II
-
Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
-
Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
-
Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
-
NoSQL, NewSQL i BigData. Bazy danych następnej generacji
-
Java: Data Science Made Easy. Data collection, processing, analysis, and more
-
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
-
Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
-
MongoDB w akcji
-
F# 4.0 Design Patterns. Solve complex problems with functional thinking
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Mastering Data Mining with Python - Find patterns hidden in your data. Find patterns hidden in your data
-
Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
T-SQL dla zaawansowanych. Przewodnik programisty. Wydanie IV
-
Data Analytics with Hadoop. An Introduction for Data Scientists
-
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
-
Learning Python Design Patterns. - Second Edition
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills
-
Sharing Big Data Safely. Managing Data Security
-
Lucene 4 Cookbook. Over 70 hands-on recipes to quickly and effectively integrate Lucene into your search application
-
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
-
NoSQL. Kompendium wiedzy
-
WCF Multi-layer Services Development with Entity Framework. Create and deploy complete solutions with WCF and Entity Framework
-
FileMaker Pro 13: The Missing Manual
-
ActionScript Graphing Cookbook. Learn how to create appealing and interactive visual presentations of your data in ActionScript with this book and
-
QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide
-
MySQL Management and Administration with Navicat. Master the tools you thought you knew and discover the features you never knew existed with this book and
-
FileMaker Pro 12: The Missing Manual
-
MongoDB and Python. Patterns and processes for the popular document-oriented database
-
HBase: The Definitive Guide. Random Access to Your Planet-Size Data
-
Redis Cookbook
-
Amazon SimpleDB: LITE. A book and eBook that addresses: what is SimpleDB, how does it compare to relational databases, and how to get started?
-
FileMaker Pro 11: The Missing Manual
-
Java Database Best Practices. Persistence Models and Techniques for Java Database Programming
-
Programming the Perl DBI. Database programming with Perl
-
AI w Excelu. Kurs video. Automatyzacja zadań w pracy
-
Web scraping. Kurs video. Zautomatyzowane pozyskiwanie danych z sieci
-
Data Science w Pythonie. Kurs video. Algorytmy uczenia maszynowego
-
Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych
-
Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
-
Big Data. Rewolucja, która zmieni nasze myślenie
-
Transact-SQL. Czarna księga