Informatyka

Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA

James C. Mott, Ken Stehlik-Barry, James Sugrue,...

Data Analysis with Python. A Modern Approach

David Taieb

Data Analysis with R. Click here to enter text

Tony Fischetti, Tony Fischetti

Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Duc Haba

Data Center Virtualization Certification: VCP6.5-DCV Exam Guide. Everything you need to achieve 2V0-622 certification – with exam tips and exercises

Andrea Mauro , Paolo Valsecchi

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 Lake Development with Big Data. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Pradeep Pasupuleti, Beulah Salome Purra

Data Lake for Enterprises. Lambda Architecture for building enterprise data systems

Vivek Mishra, Tomcy John, Pankaj Misra

Data Literacy in Practice. A complete guide to data literacy and making smarter decisions with data through intelligent actions

Angelika Klidas, Kevin Hanegan

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

Aleksejs Plotnikovs

Data Mining. Eksploracja danych w sieciach społecznościowych. Wydanie III

Matthew A. Russell, Mikhail Klassen

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