DATA SCIENCE
A Cloud Data Platform For Unified Data Science.
Big data is useless without analysis. The ability to capture, collect and analyze data @ cloud-scale is pivotal to turning enormous volumes of data into actionable insights.
The Data Cloud Platform delivers the performance, concurrency, and simplicity.
Consolidate your data from data warehouses, data marts, and data lakes into a single source of truth that powers multiple types of analytics and data science applications.
COMMON DATA CHALLENGES WITH ARTIFICIAL INTELLIGENCE (AI)
%
PREP
Struggle with aggregating and preparing data sets.
%
BUILD
Experience problems with AI/ML model development.
%
DEPLOY
Cites obstacles to moving AI models into production.
%
MONITOR
Don’t Actively monitor their AI/ML assets once in production.
A CLOUD DATA PLATFORM FOR DATA SCIENCE
IT’S ALL ABOUT THE DATA
Machine learning (ML) technologies have entered the mainstream. According to a 2019 TDWI survey on artificial intelligence (AI) and ML use, 92 percent of respondents reported using machine learning technology, and 85 percent said they are building predictive models using tools for ML.
Data scientists require massive amounts of data to build and train these machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator. Data management (discovering, securing access, cleaning, combining, and preparing the data for analysis) is commonly recognized as the most time consuming aspect of the process.
THE MOST COMPLETE CLOUD PLATFORM FOR DATA SCIENCE
Snowflake Cloud Data Platform combines the power of data warehousing, the flexibility of big data platforms, the elasticity of the cloud, and live data sharing at a fraction of the cost of traditional data platform solutions. Snowflake delivers the performance, concurrency, and simplicity needed to store and analyze all your data in one location, both for internal use and to create a data exchange. Thousands of customers are standardizing on this platform because it satisfies three essential needs:
A Single Consolidated Source For All Data
Snowflake helps data scientists access structured and semi- structured data from one consistent source, making it easy to find, consolidate, clean, and use more of your organization’s data assets. Output from data science can seamlessly be incorporated back into Snowflake for access by business users.
Efficient, High-Speed Data Preparation
Snowflake provides efficient, dedicated virtual warehouses that can ingest, transform, and query data using SQL without impacting other users or departments. SQL in Snowflake is in many cases 10x more efficient at data preparation than other tools such as Spark, resulting in reduced latency between ML tasks.
An Extensive Partner Ecosystem
Snowflake has connectors to all the established and emerging data science technologies. This allows customers to choose the best data science tools for their needs, and all tools access a unified and consistent data platform. Snowflake seamlessly exports data to AWS S3 and other blob stores for universal access by data science tools.
Figure 1: Snowflake enables many use cases and workloads in addition to data science, so your organization can leverage the power of a single platform for data, analytics, and predictive analytics.
A UNIFIED PLATFORM FOR DATA + AI + MACHINE LEARNING
MODERN CLOUD ARCHITECTURES
PURPOSE-BUILT INTEGRATIONS
THE LEADER IN AUTOML
DEDICATED ML SANDBOX
FOR EVERY USER
SCALABLE PERFORMANCE FOR
ADVANCED ANALYTICS
ACTIONABLE INSIGHTS
IN MINUTES
BIG DATA
Capture, Store, Analyze & Deliver Data @ Cloud Scale.
The future of Big Data is the rise of what is called ‘fast data’ and ‘actionable data’.
Big Data, typically relies on Hadoop and NoSQL databases to analyze the information in the batch mode, fast data allows for processing in real-time streams.
Actionable data is the missing link between big data and business value. By processing data with the help of analytical platforms, organizations can make information accurate, standardized, and actionable.
DATA ANALYTICS
Fast Track To Analytics: Cloud-Native Warehouse
Sovereign’s Data Analytics Platform provides a high-performance and near-zero management solution, with unlimited scale for every analyst.
Its unique architecture, and computing power dedicated to individual workloads, make it possible for thousands of self-service users to analyze all their data in real-time with no bottlenecks.
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.