Apache Druid for Data Engineers (Hands-On)

Apache Druid for Data Engineers (Hands-On), available at $19.99, has an average rating of 2.43, with 43 lectures, based on 7 reviews, and has 33 subscribers.

You will learn about Understanding of basic architecture of Apache Druid Installing and Configuring Apache Druid Apache Druid Design, Ingestion, Data management, Querying Frequently asked Questions This course is ideal for individuals who are Database Engineer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer It is particularly useful for Database Engineer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer.

Enroll now: Apache Druid for Data Engineers (Hands-On)

Summary

Title: Apache Druid for Data Engineers (Hands-On)

Price: $19.99

Average Rating: 2.43

Number of Lectures: 43

Number of Published Lectures: 43

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understanding of basic architecture of Apache Druid
Installing and Configuring Apache Druid
Apache Druid Design, Ingestion, Data management, Querying
Frequently asked Questions

Who Should Attend

Database Engineer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer

Target Audiences

Database Engineer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer

Druid is a high-performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load.

Apache Druid is a real-time analytics database designed for fast slice-and-dice analytics (“OLAP” queries) on large data sets. Most often, Druid powers use cases where real-time ingestion, fast query performance, and high uptime are important.

Druid is commonly used as the database backend for GUIs of analytical applications, or for highly-concurrent APIs that need fast aggregations. Druid works best with event-oriented data.

One of the most valuable technology skills is the ability to Real-time analytics databases handle analytics on large amounts of data by optimizing resources to enable compute-heavy workloads, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Duid! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA,and more are all using Apache Druid!

Apache Druid Essentials: Unleashing Real-time Analytics and Scalable Data Exploration

Unlock the potential of real-time analytics and scalable data exploration with our comprehensive Apache Druid Essentials course. In this dynamic program, participants will delve into the world of Apache Druid, an open-source, high-performance analytics database designed for fast query response and seamless scalability.

Key Learning Objectives:

Introduction to Course
Real-time Analytics Databases
What is Apache Druid?
Key Features of Druid
Technology
Use cases
When to use Druid
When not to use Druid
List of Company using Apache Druid
Installation of Apache Druid
Start up Druid services
Open the web console
Load data
Query data
Overview of the Druid Web Console
Architecture of Druid
Druid Servers
External Dependencies
Storage Design
Datasources and Segments
Segment Identifiers
Segments
Introduction to Segments
Segment File Structure
Data Loading in Druid
Load Data from Local Files
Load Data from URI
Load Data from Kafka (Prerequisite Introduction to Kafka)
Installing Single Node Kafka Cluster
Change the following to avoid Zookeeper Issue conflict
Load Data from Kafka
Query Data Explain Plan
Aggregate data with rollup
Frequently Asked Questions

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Course

Lecture 2: Real-time Analytics Databases

Lecture 3: What is Apache Druid?

Lecture 4: Key Features of Druid

Lecture 5: Technology

Lecture 6: Use cases

Lecture 7: When to use Druid

Lecture 8: When not to use Druid

Lecture 9: List of Company using Apache Druid

Chapter 2: Installation of Apache Druid

Lecture 1: Installation

Lecture 2: Start up Druid services

Lecture 3: Open the web console

Lecture 4: Load data

Lecture 5: Query data

Lecture 6: Overview of the Druid Web Console Part 1

Lecture 7: Overview of the Druid Web Console Part 2

Chapter 3: Architecture of Druid

Lecture 1: Druid Architecture

Lecture 2: Druid Servers

Lecture 3: Druid Services

Lecture 4: Druid Services in Simple terms

Lecture 5: External Dependencies

Chapter 4: Storage Design

Lecture 1: Datasources and Segments

Lecture 2: Segment Identifiers

Chapter 5: Segments

Lecture 1: Introduction to Segments

Lecture 2: Segment File Structure

Chapter 6: Data Loading in Druid

Lecture 1: Load Data from Local Files

Lecture 2: Load Data from URI

Lecture 3: Load Data from Kafka (Prerequisite Introduction to Kafka)

Lecture 4: Installing Single Node Kafka Cluster

Lecture 5: Change the following to avoid Zookeeper Issue conflict

Lecture 6: Load Data from Kafka Part 1

Lecture 7: Load Data from Kafka Part 2

Lecture 8: Query Data Explain Plan

Lecture 9: Aggregate data with rollup

Chapter 7: Frequently Asked Questions

Lecture 1: Is Druid a data warehouse? When should I use Druid over Redshift/BigQuery

Lecture 2: Is Druid log aggregation/log search system? When should I use Druid over Elastic

Lecture 3: Is Druid a timeseries database? When should I use Druid

Lecture 4: Does Druid separate storage and compute?

Lecture 5: How is Druid deployed?

Lecture 6: Where does Druid fit in my big data stack?

Lecture 7: Is Druid in-memory?

Lecture 8: Do clients ever contact the Coordinator process?

Lecture 9: Does it matter if Coordinator process starts up before or after other processes?

Instructors

Bigdata Engineer
Bigdata Engineer

Rating Distribution

1 stars: 3 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 2 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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