Inne

Azure Data Engineering Cookbook. Get well versed in various data engineering techniques in Azure using this recipe-based guide - Second Edition

Nagaraj Venkatesan, Ahmad Osama

Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition

Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

Azure Machine Learning Engineering. Deploy, fine-tune, and optimize ML models using Microsoft Azure

Sina Fakhraee, Balamurugan Balakreshnan, Megan Masanz

Badanie danych. Raport z pierwszej linii działań

Rachel Schutt, Cathy O'Neil

Bayesian Analysis with Python. Click here to enter text

Osvaldo Martin

Bazy danych. Pierwsze starcie

Adam Pelikant

Bazy danych. Podstawy projektowania i języka SQL

Krystyna Czapla

Big Data. Krótkie Wprowadzenie 30

Dawn E. Holmes

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement

John K. Thompson, Douglas B. Laney

Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods

Brij Kishore Pandey, Emily Ro Schoof

Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis

Huy Hoang Nguyen, Paul N Adams, Stuart J Miller

Codeless Time Series Analysis with KNIME. A practical guide to implementing forecasting models for time series analysis applications

KNIME AG, Corey Weisinger, Maarit Widmann, Daniele Tonini

CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt

Cameron Dodd

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Kedeisha Bryan, Taamir Ransome

Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów

Denise Gosnell, Matthias Broecheler

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker