Slalom and AWS Present: Big Data & Analytics Workshop
Thursday, August 24th
9:00am - 5:00pm
One Logan Square
130 N. 18th St.
Philadelphia, PA 19103
Join Slalom and AWS data experts in this exclusive hands-on workshop. The course is designed to help you architect scalable big data applications including data warehousing, streaming, Hadoop/spark applications, and NoSQL data stores. Breakfast and lunch will be served.
Who should attend?
- Individuals responsible for architecting data solutions or processing data to gain insights
- Database architects, data engineers, analytics professionals, and data scientists
What will I learn?
- Gain insight into the tools available within AWS to tackle big data problems
- Understand when each tool is appropriate and its corresponding technical strengths
- Apply best practices for deploying and architecting big data solutions in AWS
- Learn how to incorporate real-time analytics with your existing batch processes
What do I need to know before attending?
- Working knowledge of data manipulation languages like SQL
- Familiarity with general data storage concepts like RDMS, key-value stores and Hadoop
- Knowledge of data architecture, storage and processing
Agenda
9:00am: Welcome - Coffee/Breakfast
9:30am: Trends in Modern Data Architecture - Overview of industry trends around data and analytics in the cloud including business and technical benefits
11:30am: Migrating Data Workloads to AWS - Strategies for migrating data and analytics to the cloud
12:00pm: Lunch
1:00pm: AWS Services Overview - Abbreviated overview of AWS services
1:45pm: Storage - S3, EBS, EFS - Big data solutions require a foundational knowledge of storage solutions
2:30pm: EMR / Amazon Athena - Overview of AWS's solutions around Hadoop, Spark, and Presto
3:30pm: Break
3:45pm: Redshift - Deep dive in Redshift, including demo and Q&A
*Due to event space capacity, enrollment is on a first-come, first-served basis. We may need to limit attendees at 2 per organization. Please RSVP today!
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9:00am: Welcome - Coffee/Breakfast
9:30am: Trends in Modern Data Architecture - Overview of industry trends around data and analytics in the cloud including business and technical benefits
11:30am: Migrating Data Workloads to AWS - Strategies for migrating data and analytics to the cloud
12:00pm: Lunch
1:00pm: AWS Services Overview - Abbreviated overview of AWS services
1:45pm: Storage - S3, EBS, EFS - Big data solutions require a foundational knowledge of storage solutions
2:30pm: EMR / Amazon Athena - Overview of AWS's solutions around Hadoop, Spark, and Presto
3:30pm: Break
3:45pm: Redshift - Deep dive in Redshift, including demo and Q&A
*Due to event space capacity, enrollment is on a first-come, first-served basis. We may need to limit attendees at 2 per organization. Please RSVP today!
Brought to you by –