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Dear Member,
The size and complexity of the data that needs to be analyzed today, means the same technology and approaches that worked in the past, don’t work anymore. To get the most value from your data, AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services that enables you to build your data lake in the cloud, analyze all of your data, including data from IoT devices with a variety of analytical approaches including machine learning.
Join us to learn how the AWS platform enables you to build a data lake that allows you to run different type of analytics such as Big Data processing, Real-Time Analytics and Machine Learning at the 10th Workshop as part of TechSeries@HYSEA is scheduled on 18th Jan 2019 at Club Botanika from 9.30am to 5.00pm. |
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WHO SHOULD ATTEND |
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Technical leaders, data architects, analysts and practitioners who want to do new types of analytics like machine learning over new sources like log files, data from click-streams, social media, and internet connected devices stored in the data lake.
Certificate of Participation: All attendees to get certificate of participation from HYSEA |
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AMAZON SPEAKERS |
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Ninad Vidyadhar Phatak
Solution Architect |
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Runeet Vashisht
Solution Architect |
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Sheshagiri Yekula
Solution Architect |
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AGENDA |
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9:30 AM
Data Lake Overview |
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9.50AM
Data Ingestion Services
- Amazon Kinesis |
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10:20AM
Hands-on Lab on Data ingestion using Amazon Kinesis |
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11:05AM: TEA BREAK |
11:25 PM
Data Lake storage and cataloguing
• Amazon S3 • AWS Glue |
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11.45PM
Hands-on Lab on Data ingestion
using Amazon Kinesis |
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12.15PM: LUNCH |
1.00PM: Analytics
• Amazon Redshift • AWS Glue • Amazon Athena • Amazon EMR
• Amazon QuickSight |
2.30PM: TEA BREAK |
2.50PM
Hands on Lab using AWS Glue for
data processing and Amazon Athena
for adhoc querying and Quicksight for data visualization |
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3.35PM
Overview of Machine Learning Services |
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3.55PM
What’s new from
re-Invent 2018 |
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4.15PM: Closing Remarks and Certificate Distribution |
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