Bağış 15 Eylül 2024 – 1 Ekim 2024 Bağış toplama hakkında

Delta Lake: The Definitive Guide

Main
Computers - Databases
Delta Lake: The Definitive Guide

Delta Lake: The Definitive Guide

Denny Lee, Tathagata Das, and Vini Jaiswal

0 / 0

Bu kitabı ne kadar beğendiniz?

İndirilen dosyanın kalitesi nedir?

Kalitesini değerlendirmek için kitabı indirin

İndirilen dosyaların kalitesi nedir?

Kategoriler:

Computers - Databases

Yıl:

2021

Dil:

english

ISBN 10:

1098104528

ISBN 13:

9781098104528

Dosya:

PDF, 11.32 MB

IPFS:

,

english, 2021

Online Oku

'e dönüştürme devam ediyor

dosyasına dönüştürme başarısız oldu

İlginizi çekebilir

Bob Gregory & Harry Percival [Bob Gregory] — Architecture Patterns with Python

Manoj Krukeja — Data Engineer with Apache Spark, Delta Lake and Lakehouse

-- — Essential PySpark for Scalable Data Analytics: A beginner's guide to harnessing the power and ease of PySpark 3

Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur — Serverless ETL and Analytics with AWS Glue

— Databricks. Databricks Spark Knowledge Base

— Databricks. Using Apache Spark

Databricks — The Big Book of Data Science Use Cases

Martin Odersky & Lex Spoon & Bill Venners — Programming in Scala, Fourth Edition (1116)

Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills — Advanced Analytics with PySpark

Joe Reis & Matt Housley — Fundamentals of Data Engineering (Third Early Release)

Max Schultze & Arif Wider — Data Mesh in Practice

Eben Hewitt; Jeff Carpenter — Cassandra: The Definitive Guide: Distributed Data at Web Scale

Rukmani Gopalan — The Cloud Data Lake (Early Release)

Rukmani Gopalan — The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

Paul Andrew & Richard Swinbank — Learning Azure Synapse Analytics

Bennie Haelen — Delta Lake: Up and Running: Modern Data Lakehouse Architectures with Delta Lake

Denny Lee, Prashanth Babu, Tristen Wentling, and Scott Haines — Delta Lake: The Definitive Guide (Early Release)

Denny Lee, Prashanth Babu, Tristen Wentling, and Scott Haines — Delta Lake: The Definitive Guide

Ron C. L’Esteve — The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

Bill (B.) Chambers, Matei (M.) Zaharia — Spark: The Definitive Guide: Big Data Processing Made Simple

Alex Gorelik — The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science

Zoiner Tejada — Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

Valliappa Lakshmanan, Jordan Tigani — Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee — Learning Spark: Lightning-Fast Data Analytics

Mahmoud Parsian — Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (Early Release)

Mahmoud Parsian — Data Algorithms with Spark (Sixth Early Release)

Mahmoud Parsian — Data Algorithms with Spark

James Densmore [James Densmore] — Data Pipelines Pocket Reference

Dehghani, Zhamak — Data Mesh: Delivering Data-Driven Value at Scale (Final Release)

Ole Olesen-Bagneux — The Enterprise Data Catalog ( Early Release)

Mark Beckner — Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse

Bill Inmon — Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump

Bill Inmon, Mary Levins, Ranjeet Srivastava — Building The Data Lakehouse

Mike Frampton — Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark

Deshpande, Tanmay — Hadoop real-work solutions cookbook: over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

Anne Laurent (editor), Dominique Laurent (editor), Cédrine Madera (editor) — Data Lakes

Tomasz Drabas, Denny Lee — Learning PySpark

Tomcy John, Pankaj Misra — Data Lake for Enterprises: Leveraging Lambda Architecture for building Enterprise Data Lake

Yassine Maleh, Youssef Baddi, Mamoun Alazab, Loai Tawalbeh, Imed Romdhani — Artificial Intelligence and Blockchain for Future Cybersecurity Applications

Alan Simon — Data Lakes For Dummies

Mayank Malhotra — Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability

Sagar Lad, Abhishek Mishra, Ashirwad Satapathi — Hands-On Azure Data Platform: Building Scalable Enterprise-Grade Relational and Non-Relational database Systems

Anahtar ifadeler