Why this course?

Description

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!

 

Are you ready to transform your data into a powerful business asset? Unlock the full potential of real-time analytics with Apache Druid, a cutting-edge, high-performance data store designed to analyze massive amounts of data instantly. In today's fast-paced digital world, the ability to gain real-time insights is a game-changer. Whether it's optimizing customer experiences, driving sales growth, or detecting anomalies, Apache Druid is your go-to solution for lightning-fast, data-driven decision-making.

This course takes you on a journey to become a Druid expert, empowering you to harness the full capabilities of this powerful tool. With a hands-on, project-based approach, you'll learn how to set up, configure, and utilize Druid to analyze data streams, optimize dashboards, and unlock the insights hidden within your data—all in real-time.

What You'll Gain:

• Instant Impact: Learn how to leverage Apache Druid’s blazing-fast query capabilities to gain real-time insights that drive business performance.

• Efficiency & Scale: Master the techniques to efficiently handle millions of data points per second for scalable, data-intensive applications.

• Actionable Analytics: Build powerful dashboards and visualizations that transform raw data into valuable insights for strategic decision-making.

Who Should Enroll:

This course is perfect for:

• Data Engineers & Analysts who want to enhance their skill set with a leading-edge analytics platform.

• Business Intelligence Professionals looking to deliver faster, more impactful insights to their organizations.

• Tech-Savvy Entrepreneurs & Startups aiming to harness real-time analytics to optimize customer engagement, sales, and marketing.

Don't miss the opportunity to become a leader in real-time analytics and supercharge your business intelligence capabilities. Enroll now and take your data analytics skills to the next level with 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