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, & 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 & 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 & distributed in-memory platform for computing & 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 & scalability of your application. Some of these components include: Advanced Clustering, Data Grid, SQL Grid, Streaming & CEP, Compute Grid, Service Grid, & the Ignite File System. Ignite also has integrations for accelerating data processing frameworks such as Hadoop & Spark.
Schedule:
5:30pm - 6:00pm Networking
6:00pm - 7:00pm Talk
7:00pm - 7:30pm Networking
Akmal Chaudhri is GridGains technology evangelist. His role is to help build the global Apache Ignite community & raise awareness through presentations & technical writing. Akmal has over 25 years experience in IT & has previously held roles as a developer, consultant, product strategist & technical trainer. He has worked for several blue-chip companies such as Reuters & IBM, & also the Big Data startups Hortonworks (Hadoop) & DataStax (Cassandra NoSQL Database).
He has published & presented widely & edited or co-edited 10 books. He holds a BSc (1st Class Hons.) in Computing & Information Systems, MSc in Business Systems Analysis & Design & a PhD in Computer Science. He is a Member of the British Computer Society (MBCS) & 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, & corporate programs based in Seattle, New York, Chicago, & San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & 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/
Join our Metis Community Slack channel! Apply here:
http://bit.ly/MetisCommunitySlack
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 & imagery is not appropriate for any event including talks, workshops, parties, & other online media. Individuals & groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.
If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously & promptly addressed.
