Slalom and AWS present Big Data Analytics Technical Training in Denver on September 20th
Spend a full day with 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 is on us.
Who should attend?
- IT Managers responsible for data migration and cloud adoption
- Individuals responsible for architecting data solutions or processing data to gain insights
- Database architects, data engineers, analytics professionals, and data analysts
What will I learn?
- Gain insight into the tools available within AWS to tackle big data problems
- Understand when each tool is appropriate and it's corresponding the 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 - 12:00pm: Morning Session
- AWS Services Overview: An overview of the AWS Big Data services we will be covering over the course of the day
- AWS Storage: Learn about AWS storage services, such as S3, EBS, and EFS, that provide cost-effective and reliable options for storing petabytes of data in AWS
- Amazon EMR and Athena: Discover how to query large volumes of data in S3 using Amazon Athena, and how Amazon EMR can scale to any data processing or analytic workload with minimal overhead and cost
12:00pm – 1:00pm: Lunch and Networking
1:00pm - 5:00pm: Afternoon Session
- EMR Spark: Learn how to launch Apache Spark on Amazon EMR within minutes, and query data with Apache Zeppelin (includes a hands-on lab)
- Amazon Redshift: Learn how to run a cost-effective Data Warehouse on Amazon Redshift that can scale up to petabytes of data (including a hands-on lab)
1999 Broadway, 14th Floor - Rhino Room
Denver, CO 80202
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