Systems | Development | Analytics | API | Testing

Tim Stammers of 451 Research discusses key technologies and trends for midsize enterprises and the cloud

Databricks has become a popular computing framework for big data as organizations increase their investments of moving data applications to the cloud. With that journey comes the promise of better collaboration, processing, and scaling of applications to the Cloud. However, customers are finding unexpected costs eating into their cloud budget as monitoring/observability tools like Ganglia, Grafana, the Databricks console only telling part of the story for charge/showback reports.

The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it.

An ETL Journey From Staging to Production: See a demonstration of how to create a successful workflow. Renee, Xplenty's Technical Success Engineer, is going to walk you through workflows and how it's easier and faster than pulling data from multiple sources, by using staging tables and production tables.

It's never been easier to use dbt and Fivetran together. Follow this guide to learn how to set up dbt on your computer.

Doing the turnaround from legacy testing to modern test automation might be a struggle. Specifically in a financial organization, where habits and process may be very present. How does a team start from zero, when you are a project in a middle of many others? In this dual presentation by the QA lead of the team and the lead of the expert coaching group, you will discover how a team at National Bank of Canada made the change to a mature practice of test automation.

In this session, Sauce Labs Director of Product Marketing Alissa Lydon shares how Sauce Labs is delivering on its 2020 product roadmap and introduces new features including Failure Analysis, Visual End-to-End Testing, and the Sauce Testrunner Toolkit (https://saucelabs.com/platform/sauce-testrunner-toolkit).

Just 3 easy steps to create an alert on Anodot. Our machine learning-based anomaly detection enables users to simulate alert estimates as you toggle the settings. Choose from multiple business metrics or layer functions on top of your metrics.