Building Real-Time Analytics Systems (From Events to Insights with Apache Kafka and Apache Pinot)

ISBN: 9781098138790
List Price: $65.99

FREE Ground Shipping in US

Expect Delivery in 4-10 weekdays

Brand New Books

Your Price per Book:
Total for copies: Save

Found a lower price on another site? Request a Price Match

Minimum Order: 25 copies per title

true
Quantity
Price

Minimum Order $100 / 25 copies per title, no exceptions

Not ready to place your order?

Prices change daily. Order now!

$65.99
SKU:
9781098138790
Minimum Purchase:
25 units
Bulk Pricing:
Buy in bulk and save

Minimum Order: 25 copies per title

true

Overview

Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly.

Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service.

You will:

  • Learn common architectures for real-time analytics
  • Discover how event processing differs from real-time analytics
  • Ingest event data from Apache Kafka into Apache Pinot
  • Combine event streams with OLTP data using Debezium and Kafka Streams
  • Write real-time queries against event data stored in Apache Pinot
  • Build a real-time dashboard and order tracking app
  • Learn how Uber, Stripe, and Just Eat use real-time analytics

This book title, Building Real-Time Analytics Systems (From Events to Insights with Apache Kafka and Apache Pinot), ISBN: 9781098138790, by Mark Needham, published by O'Reilly Media (October 24, 2023) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

Unlike Amazon and other retailers who may also offer Building Real-Time Analytics Systems (From Events to Insights with Apache Kafka and Apache Pinot) books on their website, we specialize in large quantities and provide personal service, from trusted, experienced, friendly people in Portland, Oregon. We offer a Price Match Guarantee, and QuickQuote form, to make purchasing quick and easy.

Prefer to work with a human being when you order Building Real-Time Analytics Systems (From Events to Insights with Apache Kafka and Apache Pinot) books in bulk? Our Book Specialists are standing by Monday-Friday 8-5 PST, ready to help!

Product Details

Author:
Mark Needham
Format:
Paperback
Pages:
218
Publisher:
O'Reilly Media (November 28, 2023)
Language:
English
ISBN-13:
9781098138790
ISBN-10:
1098138791
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20240124171555-20240124.xml
Folder:
TWO RIVERS
List Price:
$65.99
Case Pack:
18
As low as:
$37.61
Publisher Identifier:
P-PER
Discount Code:
C
Country of Origin:
United States

Ordering Details

  • Product Availability: Typically, all books are in stock and ready to ship. If a title becomes unavailable unexpectedly, you will be contacted with 24 business hours.
  • Standard Shipping: FREE Shipping via ground transportation within the continental United States.
  • Estimated Delivery: Most orders deliver within 4-10 business days from order date (excluding weekends and holidays). Orders shipping to Alaska or Hawaii should allow a minimum of 3 weeks for delivery. Rush Shipping is currently not available.
  • Important Note: Books ship from various warehouses and may receive multiple cartons to fill the complete order. Do not assume your order is shipping from Portland, OR.
  • Payment Terms: Visa, MC, Amex, PayPal, Purchase Orders and P-Cards can be used to purchase online. Check and wire-transfer payments are available offline through Customer Service