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Apache Ignite: The In-Memory Hammer In Your Data Science Toolkit

Organized By
Metis: New York Data Science
Tue
Oct 23
05:30 PM - 08:30 PM
Data Science
Description

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.

In this presentation we will look at some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Apache Ignite is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

Ignite is a collection of independent, well-integrated, in-memory components geared to improve the performance and scalability of your application. Some of these components include: Advanced Clustering, Data Grid, SQL Grid, Streaming and CEP, Compute Grid, Service Grid, and the Ignite File System. Ignite also has integrations for accelerating data processing frameworks such as Hadoop and Spark.

Schedule:

5:30pm - 6:00pm Networking
6:00pm - 7:00pm Talk
7:00pm - 7:30pm Networking

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).

He has published and presented widely and edited or co-edited 10 books. He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science. He is a Member of the British Computer Society (MBCS) and a Chartered IT Professional (CITP).

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at

https://thisismetis.com/

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Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

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Location of Event

27 East 28th Street, 3rd Floor
New York, US-NY, 10016
27 East 28th Street, 3rd Floor
New York, US-NY, 10016

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