Periscope Data is launching a new machine learning (ML) solution that leverages Amazon SageMaker as part of a comprehensive offering for data teams looking to solve complex problems.
Periscope Data’s new functionality with Amazon SageMaker will allow data analysts to tackle ML problems in one seamless workflow, from data prep to model training to reporting.
First, Periscope Data simplifies data prep, by surfacing distribution and descriptive statistics, helping users recognize where more data cleaning or normalization is required. Data teams can also rapidly iterate on feature selection and develop even the most complex feature engineering transformations by leveraging SQL in views for dataset development within Periscope Data.
Next, the datasets are directly exported into Amazon SageMaker to build, train, and deploy ML models at scale. Model results are then written back to a data warehouse, allowing users to leverage trained models for predictive and prescriptive reporting in Periscope Data to inform business and product decisions.
“Building trustworthy machine learning algorithms is a huge challenge for today’s data teams, in part because of the difficulties they face with data prep and feature engineering,” said Harry Glaser, co-founder and CEO, Periscope Data. “As we continue to fulfill our mission of turning data teams into superheroes, we see this integration with Amazon SageMaker as a great way to simplify machine learning workflows for our customers and give them a faster path to valuable insights.”
Amazon SageMaker is a fully managed service used by companies worldwide to empower developers with easier ways to leverage ML. Amazon SageMaker allows developers and data scientists to quickly and easily build, train, and deploy ML models at any scale.
“Amazon SageMaker gives life to machine learning projects by speeding up the process for everyday developers,” said Swami Sivasubramanian, vice president of machine learning, Amazon Web Services Inc. “In order to do that, it’s critically important that we work with the industry leaders in data analytics solutions to accelerate the impact of machine learning. We’re very excited to have Periscope Data as one of our first direct integrations with Amazon SageMaker, and we’re looking forward to seeing what our customers will create with this new functionality.”
Earlier this year, Periscope Data announced it had achieved Advanced Technology Partner status in the AWS Partner Network (APN) for recognition of its overall business investment on AWS.
Periscope Data builds on its analytics and data ingest tools with a built-in, fully managed data warehouse based on Amazon Redshift. This allows data teams to connect to their full range of business data and easily store and manage it for insightful queries and analysis. Periscope Data is also supporting Amazon Redshift Spectrum and other innovations on AWS in its platform.