Tue, 07 May | 11:00 AM - 11:45 AM
High-Performing Salesforce Data Connectors
Named IDC’s #1 CRM provider for the fifth straight year, Salesforce plays a large role in empowering digital transformation efforts at companies across the world. Unsurprisingly, businesses increasingly want access to their Salesforce data for analytics and other mission-critical processes. Enterprises often turn to homegrown Salesforce connectors to deliver Salesforce data to other business apps. However, building a custom data connector for Salesforce isn’t easy—it can take months or even years. Join us in this session where we explore the different considerations for developing a Salesforce data connector.
Wed, 08 May | 02:45 PM - 03:30 PM
Mastering Modern ETL Tools for Cloud and Big Data
Cloud and big data are now mainstream, and for many companies, it has become a challenge to effectively integrate enterprise data with these modern systems. This multifaceted challenge requires IT to master modern ETL toolkits, plus address new issues such as enterprise data security beyond the firewall, support for popular data sources such as Salesforce, Eloqua, SQL Server or Oracle, custom connectivity needs and more. This session drills into the various approaches including:
•An overview of modern data management
•ETL Tools for the Cloud: AWS Glue, Google DataFlow, Azure Data Factory
•ETL Tools for Hadoop: Apache Sqoop, Apache Nifi, Apache Flume
•Best Practices for Modern ETL
Thu, 09 May | 11:30 AM - 12:15 PM
Supporting Data Analytics: Tableau, Qlik, MicroStrategy…Oh My!
Business applications are deluged by requests from business analysts, data engineers and data scientists who are seeking to deliver ROI from large investments in data analytics. We refer to this as "open analytics," a means to supplement embedded analytics by satisfying demand through an open data access layer designed to support analytics across standard interoperable interfaces. See how data analytics professionals access data across analytics languages such as SAS, R, Python and Java, as well as frameworks such as Hadoop and Spark, with an emerging "bring-your-own-analytics" (BYOA) capability for business applications.