Apache AsterixDB for Beginners (Big Data Management System)

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