DataOpsDC Monthly Meetup

Join us for our monthly DataOpsDC Meetup

This event will be Online only, Zoom link will be provided

DataOps is more than just DevOps for Data, come learn about how technologists are building a data-centric culture to gather value from data.

Sponsors:
TBA

Agenda:
6:30 - 6:45 - Mingle
6:45 - 7:00 - Introductions
7:00 - 7:30- Hands on with StreamSets DataOps Platform
7:30 - 8:00- Using Lumada Data Catalogue to do data discovery for analytics, compliance and rationalization.

First Talk:

Abstract:
In this hands-on session, you will get to see live demos of StreamSets DataOps Platform and there will be no (0) slides!

Key takeaways:

• Visually build smart data pipelines like your code: build, verify, commit, rinse, repeat!
• Ingest data from on-prem databases, files, HTTP clients, etc., perform in-stream transformations and store conformed and curated data on cloud-native storages, data lakes, and data warehouses
• Ingest data into Amazon S3, Databricks Delta Lake, and Snowflake for further analysis

… all without writing custom code or scripts!

Bio:
Dash Desai, Director of Platform and Technical Evangelism at StreamSets, has 18+ years of hands-on software and data engineering background. With recent experience in Big Data, Data Science, and Machine Learning, Dash applies his technical skills to help build solutions that solve business problems and surface trends that shape markets in new ways.

Dash has worked for global enterprises and tech startups in agile environments as an engineer and a solutions architect. As a Platform and Technical Evangelist, he is passionate about evaluating new ideas to help articulate how technology can address a given business problem. He also enjoys writing technical blog posts, hands-on tutorials, and conducting technical workshops.

Second Talk:

Abstract:

In most industries, data catalogs are essential to data scientists. In this discussion, I'm going to show how data scientists have used Lumada Data Catalog to accelerate data discovery and metadata tagging to secure sensitive data, infer hidden relationships, and accelerate data self-service and insights.

Bio
Bobby Rountree is a Data Scientist Enthusiast, coach, and teacher who transforms random, seemingly complex, unusable data into easily digestible, valuable insights that make positive impacts on a business’s bottom line.

Bobby has over 10 years of experience in the Information Technology industry,
having lent his expertise to a variety of major players in the data space including NASA, Hitachi, and the U.S. Departments of Agriculture and Defense. He also has his Bachelors's in Computer Science at Bowie State University, Masters in Cyber Security at UMUC, and currently pursuing his Doctorate in Data Science at Northcentral University.

His unique way of cutting through complex data and turning it into clear,
actionable takeaways has transformed the way businesses use data to streamline processes, make the most out of sales trends and increase efficiency for everyday tasks. Through workshops and courses showing businesses how to collect, mine and interpret data, Bobby’s earned the nickname “Dapper Data.”

When he’s not transforming data points into valuable business strategies, Bobby
teaches students. He loves showing students how to look at data as a fun and thought-provoking puzzle to solve. He also gives students an exciting peek inside the data science world and delivers guidance on how to pursue careers in data collection and mining.