£37.76

O'Reilly Cost-Effective Data Pipelines - Cloud Design Guide

Name: O'Reilly Cost-Effective Data Pipelines - Cloud Design Guide
Brand: O'Reilly
Price: 37.76 GBP
Availability: InStock

Applications

It has never been this cheap. We have no record of a lower price.

£38 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 10 days · 10 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 10 days • 1 price levels

Days at Price

Price Analysis

Most common price: £38 (10 days, 100.0%)

Price range: £38 - £38

Price levels: 1 different prices over 10 days

Description

Cloud services offer a low barrier to entry, but costs can grow quickly as workloads scale. For teams building data pipelines, managing these expenses while adapting to rapid technological changes is a constant challenge. This practical guide by Sev Leonard helps you manage that growth without breaking your budget. Learn a holistic approach to designing scalable data pipelines in the cloud. This book focuses on the balance between performance and cost, helping you deliver highly available products while keeping expenses under control. It is designed to help you navigate the frequent redesign cycles required by evolving technology and changing workloads. Whether you are managing existing infrastructure or building new systems, this guide provides the knowledge needed to make smart architectural decisions. It is an essential resource for professionals looking to optimize their cloud spending without sacrificing the scalability or reliability of their data products.

Key Features

Learn to balance cost and performance trade-offs when designing cloud-based data pipelines.

Develop a holistic approach to building scalable and highly available data products.

Navigate the challenges of rapidly changing technology and evolving workload requirements.

Manage cloud service expenses to prevent low entry costs from becoming significant long-term costs.

Designed for intermediate data engineers, software developers, and architects seeking practical cloud guidance.

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1492098647
Category: Books > Subjects > Computing & Internet > Databases > Applications
Domain: Amazon UK
Release Date: 28 July 2023
Listed Since: 24 February 2022

Barcode

No barcode data available

O'Reilly Cost-Effective Data Pipelines - Cloud Design Guide

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Data Engineering for AI/ML Pipelines: A Comprehensive Guide to Building Scalable, Intelligent Data Workflows

O'Reilly Data Science on AWS - ML Pipeline Implementation Guide

Architecting Data and Machine Learning Platforms: Enable Analytics and Ai-Driven Innovation in the Cloud

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and Ai

Delta Lake: Up and Running: Modern Data Lakehouse Architectures with Delta Lake

The Self–Service Data Roadmap: Democratize Data and Reduce Time to Insight

Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow

The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

Azure Data Factory by Example: Practical Implementation for Data Engineers

Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud

Pro Serverless Data Handling with Microsoft Azure: Architecting ETL and Data-Driven Applications in the Cloud

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Azure Data Factory by Example: Practical Implementation for Data Engineers

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS

AWS for Solutions Architects: The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

Streaming Databases: Building Real-Time, User-Facing Solutions

Snowflake Data Engineering

Data Engineering with Advanced Python: Learn to Build Production Data applications using Modern Cloud Data tools (Data Engineering with Python cookbook series)

Sybex AWS Certified Data Engineer Associate DEA-C01 Study Guide

Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse

Snowflake Recipes: A Problem-Solution Approach to Implementing Modern Data Pipelines