Gain deeper insight into customer decisions and organizational operations with a hybrid data foundation.
Why SCS for data warehouse offerings?
IT groups today need a new approach to data warehousing — a modern one that enables them to respond rapidly to requests for analytic resources from business groups without increasing costs or complexity. For many IT groups, a hybrid data warehouse environment is the answer. A strong data warehouse structure is embedded with blend of technologies and components which aids strategic use of the available data.
Continuously meet service-level agreements (SLAs) by adjusting workloads across cloud and on-premises data stores.
Enable self-service access and facilitate analysis of large data volumes through in-database IBM® Netezza® and Apache Spark analytics.
Flexible licensing
With multiple licensing and configuration options available, SCS has the flexibility to meet your data warehousing needs as they evolve over time. It offers the ability to easily and cost-effectively store and analyze your data where it is best housed.
A foundation for insight
Build a strong foundation for data insights with a data warehouse solution that can handle structured and unstructured data, run apps and queries in languages you already know and integrate existing systems with new capabilities.
Do data science faster
Use an integrated data platform with built-in data warehouse functionality and data science tools Our Integrated Analytics System is a high-performance hardware platform with an optimized database query engine that supports various data analysis and business reporting capabilities.
Db2 Big SQL
A data virtualization tool that helps you access, query and summarize data from nearly any platform, including databases, data warehouses, NoSQL databases, and more. Concurrently exploit Apache Hive, HBase and Spark using a single database connection — or even a single SQL query.
Data Science
A configured, collaborative, cloud-based analytic environment that includes IBM value-adds, such as managed Spark. Use a single workspace for your tools, but collaborate and share projects as needed. Analyze data using RStudio®, Jupyter and Python.
Modernize for AI
Make your data ready for AI and the cloud
Modernize data analysis with SCS Cloud Pak for Data
A highly simplified and agile pre-built software-centric architecture
Our Cloud Pak for Data is a multicloud data platform that powers data-driven organizations by unlocking the value of data in totally new ways and by accelerating the journey to AI.
With its endlessly extensibility, this platform can be customized to the unique data and cloud landscapes of our clients, enabling an agile information architecture for an AI and multicloud world.
SCS Cloud Pak for Data runs on any public or private cloud and is also available as an “all in one” hyper converged system that can be deployed in under 4 hours with no assembly required, delivering ease of management and a flexible “pay as you go” capacity model.
Modernize how you collect, organize and analyze data with a multicloud platform
Blue icon depicting diamonds, circles and other shapes in three lanes symbolizing the different types of data and data analysis
Make your data simple and accessible
Collect data of every type regardless of where it lives, enabling flexibility in the face of ever-changing data sources.
Create a trusted analytics foundation
Organize all your data into a trusted, business-ready foundation with built-in governance, protection and compliance controls.
Scale insights on demand with AI everywhere
Analyze your data in smarter ways and benefit from AI models that empower your teams to gain new insights and make better decisions.
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can services you better.