What if you could insulate your business users
from the complexity of existing and future data platforms?
You have environments that include a mixture of both traditional storage solutions such as Oracle and MPP or clustered storage solutions like Hadoop.
You have enterprise environments that use multiple data stores for operational or organizational reasons (e.g., multiple RDBMS instances with different configurations or locations).
You use both on-premise and cloud data storage solutions as part of your data architecture.
Companies develop data silos over time due to the specific needs of business initiatives or business units. Because the data is isolated, it has less value to the enterprise because analysts are limited to an incomplete view of the business.
Data autonomics is the ability to investigate and understand the capabilities of data store operating environments without human assistance. It can read signals to understand intent to avoid situations that create potential downside. It can work for an extended period of time without human intervention and ultimately act appropriately to perform tasks optimized for the best possible outcomes.
Abstract away the technical aspects of stored data, such as location, storage structure, APIs, access language, and storage technology. Present a business consumable data service.
Connect to different data sources and make them accessible from a common logical data access point.
Aggregate, predict, reformat without manual human interference for an optimized consumer experience.
Publish cubes executed by client application or business users when requested.
Makes analytical data mining easy for business and data science analysis by unifying the different sources that would not be able to be combined otherwise.
Provides high-performance transaction processing systems for BI and AI analytics.
Makes it easy to manage data availability, usability, integration.
Leverages existing data sources’ security model and lets the IT team rest assured the data does not leave.
AtScale Advanced Analytics (A3) helps companies who want to unify data access by making data centrally discoverable and easy to analyze. A3 provides citizen data analysts with data accessibility and query speed for insightful business decision making.
Make data available across the organization so that analysts can get a more complete view into data for business intelligence initiatives.
Make data available to more employees without re-engineering data or forcing a company-wide standard for BI tools.
Provide data access to more data analysts while keeping data secure and properly governed.
Eliminate scripting, tedious query performance tuning, and redundant summary tables. Avoid costly runaway queries that scan raw data, and vastly increase query throughput and concurrency.
Get continuously improved performance through a combination of query signals and statistics collection to deliver interactive response times without manual data engineering.
Fortune 50 DIY retailer optimizes a cloud data platform to increase ROI per analysis.
Toyota leverages AtScale, accelerating time-to-insight from weeks to minutes.
Fortune 100 industrial conglomerate embraces the cloud without business disruption.
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