About Apache Ignite:
Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains. For business users, in particular, these insights help organizations improve customer experience, become more competitive, and respond much faster to opportunities or threats. The availability of very powerful in-memory computing platforms, such as Apache Ignite, means that more organizations can benefit from machine learning today.
The Workshop:
Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines.
These capabilities and benefits will be demonstrated with the usage of Apache Ignite which is the in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.
By the end of the workshop the attendees will learn how to:
- Deploy a distributed Apache Ignite cluster.
- Preload data into the cluster deciding how much RAM is to be available for storage needs.
- Create custom calculations and algorithms and utilize cluster’s resources for their execution.
- Solve optimizations problems by simulating the process of biological evolution.
- Apply machine learning algorithms supported by Apache Ignite.
The workshop is based on Java programming language. The attendees should be familiar with the language basics, be a data scientist or database expert
Speaker:
Akmal Chaudhri is GridGain’s Technology Evangelist. His role is to help build the global Apache Ignite community and raise awareness through presentations and technical writing. Akmal has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist and technical trainer. He has worked for several blue-chip companies such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database).
Practicalities:
The Meetup will be held at the Discover meeting room at Univate, 4th floor. Registration is required due to limited seats. The Workshop will be held in English.
