Tag: AWS Marketplace

We see customers increasingly turn to AWS Marketplace to modernize the software they use, and to transform their software supply chain. AWS Marketplace helps you reach more customers, establish contracts faster, and automate renewals. It also enables data sharing with AWS and a co-sell motion with the AWS Sales team. Learn how partners can leverage AWS Marketplace to delight customers through innovations that help them modernize, transform, and govern.

Systems are growing more complex, cloud applications are growing in adoption, and cloud data lakes are being increasingly deployed. At the same time, organizations need to implement data cataloging solutions to provide data governance, data analytics, or pure metadata management. Informatica Enterprise Data Catalog (EDC) scans and catalogs an enterprise’s data assets, whether hosted on the cloud or stored on-premises.

AWS IoT Core offers a managed cloud service to support trillions of messages from billions of devices, and route messages easily and securely to devices and other AWS services. Learn how to use an AWS CloudFormation template to build the Actility ThingPark X connector to AWS IoT as the first step to connect LoRaWAN-enabled endpoints to AWS IoT Core, and to make use of other cloud services available on AWS.

AWS re:Invent 2020 is being held as a free, three-week virtual conference. To help you prepare for the Global Partner Summit, we’ve rounded up a number of things to check out (virtually, of course). Global Partner Summit offers content and activities designed specifically for AWS Partners and prospective partners alike. Learn how to leverage AWS services to build solutions for customers, and explore programs that can help differentiate your business and reach new customers faster.

AWS re:Invent is a special time for all of us at Amazon Web Services, our customers, and certainly for our valued AWS Partners. There is nothing more exciting and gratifying than bringing people together to learn and explore innovations in cloud technology. We have doubled down for 2020 on a virtual program of re:Invent sessions and activities designed to showcase how together, we can deliver incredible results for our customers.

Advances in migration technology enable you to migrate data from actively-used Hadoop environments at scale to the cloud. You can benefit from AWS managed services, pace of innovation, and improve costs for your largest and most complex analytic workloads. Learn how GoDaddy migrated data from their 800-node, 2.5 PB production Apache Hadoop cluster to Amazon S3 using WANdisco’s LiveData Migrator product.

ThoughtSpot has developed a way for business people to easily answer their own data questions. Search-driven analytics is based on the concept that finding answers to business questions should be as easy as a basic internet search. With ThoughtSpot, there’s no need for SQL expertise or lengthy training sessions—rather, simple searches are translated into database queries and answers are calculated on-the-fly.

Many organizations are cautious about moving to the cloud, or are fighting against gravity by staying on-premises. To keep up with their community’s needs, Guinness World Records has had to reimagine their IT architecture. Learn how Ensono helped Guinness World Records move all-in on AWS over a period of 10 months, and explore how Ensono continues to help them innovate using advanced AWS services.

Customers are always looking for new ways to improve operational efficiency and the security posture of applications running in their virtual private clouds (VPCs). Amazon Route 53 recently launched a Resolver Query Logs capability which lets customers log the DNS queries originating in their Amazon VPC. Follow along with our step-by-step instructions for logging VPC DNS queries in Amazon Route 53, ingesting them into Splunk, and then analyzing them with Splunk.

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.