Details:
QuantumBlack has agreed to sponsor our August
Meetup
There will be a couple of talks, lots of networking along
with pizza and beer!
Please bring an official ID to get into the
building.
-------------------------------------------------------------------------------------------------
Agenda:
6:00pm - 6:45pm
Meet and greet - Welcome
6:45pm
- 7:45pm
- Robustly DETECTING OUTLIERS IN NONLINEAR DATA USING THE
ROUT METHOD - Talk by Deepyaman Datta
- Data WAREHOUSE
MODERNIZATION WITH AWS - Talk by Dmitry Anoshin
7:45pm -
8:15pm
Networking
-------------------------------------------------------------------------------------------------
Speaker:
- Deepyaman Datta
- Dmitry Anoshin
-------------------------------------------------------------------------------------------------
Abstract:
Robustly DETECTING OUTLIERS IN NONLINEAR DATA
USING THE ROUT METHOD:
DETECTING OUTLIERS IS A REGULAR PART OF THE
DATA CLEANSING DATA ENGINEERS PERFORMS. However, standard outlier
DETECTION METHODS DO NOT GENERALIZE TO NONLINEAR REGRESSION. He
presents an overview of the ROUT method and an application thereof,
together with a comparison to other outlier DETECTION METHODS ON OUR
DATASET.
Data WAREHOUSE MODERNIZATION WITH AWS:
With the
rise of Cloud Computing and Analytics, organizations got almost
unlimited capabilities to become data-driven organizations. However,
it is not so easy for organizations with legacy technology stack.
During this talk, he will cover the journey of Data WAREHOUSE
MIGRATION PROJECTS FROM AN ON-premise solution to AWS. Moreover, he
will cover the ETL tool selection process for the Cloud DW as well as
the adoption process for the end-users. Moreover, he will talk about
extending of traditional Data WAREHOUSE FOR BIG DATA USE CASES USING
EMR AND SPARK AS WELL AS SETTING DATA LAKE. Finally, he will make a
quick demo of Cloud ETL (Matilion ETL) that accelerated cloud
migration projects.
-------------------------------------------------------------------------------------------------
Speaker
Bio:
Deepyaman Datta is a Senior Data Engineer at QuantumBlack. He
also leads Data Engineering R&D for QuantumBlack Boston, with
research interests in the application of machine learning to data
engineering activities. Prior to QuantumBlack, Deepyaman was a
Research Scientist at Schlumberger. He earned his Master’s Degree in
Computer Science, specializing in Information Management and
Analytics, from Stanford University.
Dmitry is a data-centric technologist and recognized expert in building and implementing Data Analytics Solutions. He has over 10 years of experience with Data Engineering and Analytics. He worked across different industries in Europe and North America and delivered end-to-end analytics solutions. Currently, he is a Data Engineer with Alexa AI in Cambridge, MA and works remotely from Vancouver Island. His main interest now is Cloud Analytics with AWS, Azure, and GCP. Moreover, he is the author of 4 books about various BI tools with PacktPub (SAP Lumira Essentials, Learning Hunk (Splunk), Mastering BI with Microstrategy 10, Tableau Cookbook 2019) and writing couple new book: Snowflake with Apress and Tableau Certification Guide with PacktPub. He often presents at Tableau User Groups, AWS and Azure user groups and huge data conferences like Enterprise Data World. He is leading Amazon Tableau User Group with 2k+ members as well as BC Tableau User Group. Finally, he is contributing to the leading Canadian Analytics firm Rock Your Data and writing blog posts (https://medium.com/rock-your-data). He has a Ph.D. and Master's Degree from Moscow State Technology University.
-------------------------------------------------------------------------------------------------
Sponsors:
This
event is sponsored by QuantumBlack, a McKinsey Company.