Apache AsterixDB for Beginners (Big Data Management System)

AsterixDB is a BDMS (Big Data Management System) with rich feature set that sets it apart from other Big Data platforms

What you'll learn:

Why Apache AsterixDB is necessary for Data Engineer The goal of this course is to help you become familiar with Apache AsterixDB bits and bytes Learn A to Z of Apache AsterixDB (Basic level). Hands on Experience on Apache AsterixDB and Real-time Use Case Gain deep insights into managing and analyzing complex, semi-structured data sets using Apache AsterixDB. Master the tools to deliver rapid query responses, enabling you to make faster, smarter business decisions.

Description:

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis.

We will learn

• Introduction to AsterixDB

• Performance of Apache AsterixDB

• Key Features

• Example of Product using AsterixDB

• Installation of Apache AsterixDB

• Asterix Data Model (Dataverse, Datatype, Dataset)

• Creating Dataset and Index

• Loading Data into AsterixDB

• Arithmetic Operators

• Logical Operators

• Numeric Functions

• String Functions

• Tokenizing Functions

• Aggregate Functions (Array Functions)

• Comparison Functions

This course is designed for Beginners in Apache AsterixDB and looking out for a new job as Data Engineer, Big data Engineers or Developers,  Software Developer.

You'll walk away from this course with a real, deep understanding of Apache AsterixDB and its associated distributed systems, and you can apply it to real-world problems. Plus a valuable completion certificate is waiting for you at the end!

AsterixDB has:

• Data model
  A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas

• Query languages
  Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured data

• Scalability
  A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks

• Native storage
  Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured data

• External storage
  Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB

• Data types
  A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data

• Indexing
  Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types

• Transactions
  Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store

Requirement:

Basic Knowledge of SQL and Database Desktop or Laptop with Ubuntu Operating System and Minimum 8 GB RAM is recommended