Apache AsterixDB - PowerPoint PPT Presentation
Title:
Apache AsterixDB
Description:
This presentation gives an overview of the Apache AsterixDB project. It explains the AsterixDB database in terms of its functionality and capabilities. Links for further information and connecting – PowerPoint PPT presentation
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Title: Apache AsterixDB
1
What Is Apache Ignite ?
- An in memory distributed database
- A cluster based processing platform
- Open source / Apache 2.0 license
- A key / value store
- Written in Java, C, C, SQL
- Multiple API's available
- Multiple deployment options
- Developed by GridGain Systems
2
What Is Apache Ignite ?
- Persistence is turned off
- A distributed in-memory database
- In memory data grid
- Use SQL or key-value APIs
- Persistence is turned on
- A distributed, horizontally scalable database
- Guarantees full data consistency
- Is resilient to full cluster failures
3
How Does Ignite Work ?
- Persistence can be toggled
- Small data sets can be stored in memory
- Large datasets can use disk
- Memory can be used as a caching mechanism
- RDBMS or NoSQL integration
- Partitioning or replication of data across
cluster - Horizontally scaleable
4
How Does Ignite Work ?
- Use Ignite as a distributed cache
- Implements JCache specification (JSR 107)
- Supports ACID transactions
- Supports SQL ( with limitations )
- Supports Java, C, and .NET
- Has a feature rich key-value API
- Offers two user interface ( UI ) options
- Supports collocated processing
5
How Does Ignite Work ?
- Ignite has client and server nodes in it's
cluster - Server nodes are for storage and computation
- Client nodes are connection points to the
database - They may be embedded in client applications
- Application code written in Java, C or C
- Ignite supports ODBC, JDBC and REST
6
Ignite DataGrid
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Ignite DataGrid
- An in-memory distributed key-value store
- Horizontal scaleable
- Add nodes on demand
- Scale to hundreds of nodes
- View as a distributed partitioned hash map
- Every cluster node owns a portion of the data
- As cluster (server) nodes are added more data is
cached
8
Ignite Console
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GridGain Console
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Ignite Machine Learning
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Ignite Machine Learning
- Multiple development API's
- A set of simple / efficient ML functions
- Massively scaleable
- Co-location of data and processing
- Minimised the need for costly data transfers
- Minimised ETL as ML functions act on distributed
data - Algorithms support
- Classification, Regression, Clustering
- Recommendation, Preprocessing
12
Ignite Deployment Options
- Multiple deployment options
- Docker
- Amazon AWS
- Google Cloud
- Mesos
- YARN
- VMWare
- Microsoft Azure
- Kubernetes
13
Available Books
- See Big Data Made Easy
- Apress Jan 2015
- See Mastering Apache Spark
- Packt Oct 2015
- See Complete Guide to Open Source Big Data
Stack - Apress Jan 2018
- Find the author on Amazon
- www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
- Connect on LinkedIn
- www.linkedin.com/in/mike-frampton-38563020
14
Connect
- Feel free to connect on LinkedIn
- www.linkedin.com/in/mike-frampton-38563020
- See my open source blog at
- open-source-systems.blogspot.com/
- I am always interested in
- New technology
- Opportunities
- Technology based issues
- Big data integration
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