Druid: Build a Fast, Real-Time Data Analysis System Training Course

Course Code

druid

Duration

21 hours (usually 3 days including breaks)

Requirements

  • A basic understanding of data infrastructure
  • A general knowledge of distributed systems
  • Basic Linux command line familiarity

Overview

Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.

In this course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.

Audience

  • Application developers
  • Software engineers
  • Technical consultants
  • DevOps professionals
  • Architecture engineers

Format of the course

  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Course Outline

Introduction

Installing and starting Druid

Druid architecture and design

Real-time ingestion of event data

Sharding and indexing

Loading data

Querying data

Visualizing data

Running a distributed cluster

Druid + Apache Hive

Druid + Apache Kafka

Druid + others

Troubleshooting

Administrative tasks

Summary and conclusion

Testimonials

★★★★★
★★★★★

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £3750

Private Remote

From £3300 (93)

Public Classroom

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