Jordan Martz

Principal Solutions Architect, Qlik

Jordan Martz works at Qlik, as a Principal Solutions Architect within the Partner Engineering team, focusing on Data Lakes and Data Warehouses Automation, specifically on SAP system, how to design real-time streaming applications, and supporting the effort around analytic roadmaps for consulting partners. Previously, he was a Sr Solutions Architect for Databricks, on their partner engineering team. Ironically before Databricks, he worked for Attunity, as the Director of Technology Solutions, which Qlik acquired.

Past sessions

Summit 2021 Decoupling Your Legacy On-Premise Data into Operationalized Lakehouses

May 26, 2021 03:50 PM PT

Qlik’s solutions include Data Integration functionality for ingesting, applying, cataloging, and analytics. During this session Qlik will showcase the solutions being leveraged by our mutual client JB Hunt to load data into Delta, which included Replicate and Compose for Data Lake generation, Delta Merge statements, Cataloging the system, and querying data in Qlik Sense for Analytics.

In this session watch:
Jordan Martz, Principal Solutions Architect, Qlik
Ted Orme, Head of Data Integration Strategy, Qlik

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Summit Europe 2020 Decoupling Your Legacy On-Premise Data into Operationalized Lakehouses

November 18, 2020 04:00 PM PT

Qlik’s solutions include Data Integration functionality for ingesting, applying, cataloging, and analytics. During this session Qlik will showcase the solutions being leveraged by our mutual client JB Hunt to load data into Delta, which included Replicate and Compose for Data Lake generation, Delta Merge statements, Cataloging the system, and querying data in Qlik Sense for Analytics.

Speakers: Jordan Martz and Ted Orme

Summit Europe 2019 Implementing a Reliable Data Lake with Databricks Delta and the AWS Ecosystem

October 16, 2019 05:00 PM PT

You might have an existing Data Lake or are considering leveraging AWS to centralize your data assets in the cloud. In this session, we will demonstrate how to leverage the AWS Glue data cataloging feature and crawl various S3 data sources to discover their schemas and populating your centralized metadata repository. Then, cleans your data with the reliability of Databricks Delta Lake to produce fast and accurate business outcomes.

Next, we will use the Amazon Athena serverless interactive query service to analyze the curated data residing on the highly available and durable Amazon S3 and integrated with the unified AWS Glue metadata repository.

Finally learn how to quickly enhance your application with rich interactive data visualization and analytics capabilities with minimal effort using Amazon QuickSight.