Technical Video

Vantage in the Cloud with Scott Dykstra

Are your enterprise analytics optimized for the cloud? Watch this video to see how Teradata Vantage in the cloud enables organizations to get the most value from their data using as-a-service solutions built on infrastructure from Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Offering the same powerful software that Teradata customers use on-premises, Vantage in the cloud integrates with first-party public cloud services and provides intuitive self-service tools and a wide array of advanced analytic functions that harness the analytic platform's unrivaled capabilities, including the Advanced SQL Engine, Machine Learning Engine, and Graph Engine.

Hear from Scott Dykstra, Director of Cloud Solutions, to learn more about:

• Cloud Integration
• Self-Service Tools
• Powerful Analytic Functions
• Vantage in the Cloud for Developers, Analysts and Operations

Don't miss your chance to see advanced analytics in action and learn how simple it is to query data in cloud object stores such as Amazon S3, Azure Blob, and soon Google Cloud Storage via Native Object Store; one of the many included capabilities of Teradata Vantage.

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Hi, I’m Scott Dykstra. I lead Teradata’s Cloud Solutions team. I’m a data scientist, and I help Teradata’s largest global customers deploy their analytics environments. You already know that Teradata’s the undisputed industry leader for enterprise analytics, but you’d probably be surprised by how optimized we are for the cloud. Today I’m going to demonstrate Teradata’s integration with Cloud Services, our self-service simplicity, and a couple powerful analytic functions. Let’s get started. I’ll have three demonstrations today. I’m going to start with Vantage Developer, where I can run code and show the machine learning engine function and advanced SQL engine functions embedded within SQL, as well as the native object store capability to pull data in from an object store. I’m going to show Vantage Analyst, where we can review the result set of analytic functions like nPath, for example, without running any code. Finally, I’m going to show Vantage Operations, where we can manage and monitor sites and perform DBA activities like managing our backups and scaling up and down. So let’s get started with Vantage Developer. My first use case that I’m going to demonstrate is the native object store, where we can directly access object store services like S3 on AWS or Azure Blob storage. Let’s say we have a data set of customer churn events for telco data, and let’s say we have a call detail record for our customers stored in S3. It’s infrequently accessed, so we put it in S3 and we maybe have our customer record, which is much more frequently accessed, in Vantage. The first thing we’d want to do to join the S3 with the data in Vantage using native object store is to create a foreign table object that points Vantage to the S3 buckets or file. (Sign up to watch video and read full transcript)