Apache AsterixDB for Beginners (Big Data Management System)
Bigdata Engineer
1:21:39
Description
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
Who is this for?
More details
DescriptionAsterixDB 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
Who this course is for:
- Software Engineer, Software Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
- You should take this course if want to learn Apache AsterixDB completely from scratch
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 ideasQuery languages
Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured dataScalability
A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disksNative storage
Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured dataExternal storage
Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDBData types
A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual dataIndexing
Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index typesTransactions
Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store
Who this course is for:
- Software Engineer, Software Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
- You should take this course if want to learn Apache AsterixDB completely from scratch
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Rating
Bigdata Engineer
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 29
- duration 1:21:39
- Release Date 2023/05/05