Today's highlighted deal comes via our Online Courses section of the Neowin Deals store, where you can save 94% off The Ultimate Data Infrastructure Architect Bundle. From MongoDB to Apache Flume, this comprehensive bundle will have you managing data like a Pro in no time.
What's the deal?
This bundle consists of the following ten courses:
Learning ElasticSearch 5.0
Store, Search & Analyze Your Data with Ease Using ElasticSearch 5.0
Apache Spark 2 for Beginners
Take the First Steps In Developing Large-Scale Distributed Data Processing Applications
Designing AWS Environments
Design & Create Robust & Resilient Distributed Solutions with AWS
A Comprehensive Guide to Using MongoDB for Fast, Fault Tolerant Management of Big Data
Learning Hadoop 2
Introduce Yourself to Storing, Structuring, & Analyzing Data at Scale with Hadoop
ElasticSearch 5.x Cookbook eBook
Over 170 Advanced Recipes to Search, Analyze, Deploy, Manage, & Monitor Data Effectively
Fast Data Processing with Spark 2 eBook
Learn How to Use Spark to Process Big Data At Speed & Scale
MongoDB Cookbook: Second Edition eBook
Harness the Latest Features of MongoDB 3 with A Collection of 80 Recipes
Learning Apache Kafka: Second Edition eBook
Learn How to Administer Apache Kafka Effectively for Messaging
Apache Flume: Distributed Log Collection for Hadoop: Second Edition eBook
Design & Implement A Series of Flume Agents to Send Streamed Data Into Hadoop
For course outline, specifications, and instructor info please click here.
What's the benefit?
The Ultimate Data Infrastructure Architect Bundle normally represents an overall recommended retail pricing* of $684 but it can be yours for just $36 for a limited time, a saving of $648.
Save even more!
Stick with Neowin Deals and earn credit or even deeper discounts.
- For every $25 spent, you get $1 credit added to your Neowin Deals account.
- First time buyers are also eligible for a further 10% discount when you subscribe for email updates; be sure not to dismiss the popup offer on the deals page in order to profit!
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