Inne

W dziale Inne znajdziecie książki dotyczące projektowania hurtowni danych. Poznacie pozostałe technologie bazodanowe typu InterBase czy Visual Fox Pro oraz rozszerzenie LINQ do Microsoft .NET framwork, które umożliwia natywną komunikacje z bazami danych. Zapoznacie się z Transact SQL, odmianą języka SQL, używaną przez Microsoft. Dzięki publikacjom omawiającym języki programowania Delphi czy C++ wraz z ich zintegrowanymi środowiskami programistycznymi (IDE), nauczycie się modelować, programować, zarządzać relacyjnymi bazami danych, archiwizować i odzyskiwać dane oraz przetwarzać i raportować wyniki.

siatka lista

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...

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

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

Data Engineering Best Practices. Architect robust and cost-effective data solutions in the cloud era

Richard J. Schiller, David Larochelle

Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx

Paul Houghton

Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Gareth Eagar

Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Pulkit Chadha

Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Roberto Zagni

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

Adi Wijaya, António Vilares

Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala

Eric Tome, Rupam Bhattacharjee, David Radford

Data Governance Handbook. A practical approach to building trust in data

Wendy S. Batchelder

Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process

Gláucia Esppenchutz

Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey

Aleksejs Plotnikovs

Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques

Serge Gershkovich, Kent Graziano

Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal modeling techniques - Second Edition

Serge Gershkovich, Joe Reis

Data Modeling with Tableau. A practical guide to building data models using Tableau Prep and Tableau Desktop

Kirk Munroe

Data Quality in the Age of AI. Building a foundation for AI strategy and data culture

Andrew Jones