Frequently asked questions

Get answers to the most commonly asked questions about this product.


Getting started with this product

What are the advantages of using a Data Warehouse appliance?

A Data Warehouse Appliance (DWA) can provide an economical and practical solution for your data warehousing and analytics requirements. Pre-configured appliances can remove time and complexity in purchasing and integrating hardware and software, while still offering self-service data access, dynamic workload management and the ability to query archived data (especially when combined with cloud or Hadoop data). Sub-components of an appliance have been developed or chosen specifically for that appliance, tuned and tested in advance. Instead of focusing on hardware, your team can focus on the system capabilities system.

What are the benefits of the IBM Integrated Analytics System?

The IBM Integrated Analytics System delivers a solution for your data scientists that minimizes their difficulties in developing and deploying even the most advanced analytics workloads. This high powered analytic appliance accepts data from multiple data types and locations, from both traditional data warehouses and near/real-time operational or mixed workloads. The IBM Integrated Analytics System delivers performance and scalability for any size or type of workload, and being "cloud ready" it fits into a hybrid data management strategy.

How can I leverage IAS if I decide to move to the cloud later?

The IBM Integrated Analytics System is your bridge into a new hybrid world. Shift workloads within a public cloud, private cloud and on-premises environments, based on your application requirements. With this next-generation appliance, you have the flexibility and elasticity of a cloud option but it is housed in your data center, where you can ensure security and compliance. 

How can IAS benefit my Data Scientists?

IBM Integrated Analytics System drives the ability for your data scientist to quickly create, train and deploy in-database machine learning (ML) models. Using cognitive machine learning, the IBM Integrated Analytics System provides your data scientist with in-database analytics, enabling them to collaborate inside one unified platform. Embedding of Spark, and support for Python and R enables first-class Data Science and Machine Learning at scale.

What are next steps in moving to the IBM Integrated Analytics System?

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How Secure is the IBM Integrated Analytics System for my data?

Benefit from automated encryption for data at rest and in motion, database activity monitoring, data base access control for authorizing users and deployment hardening. Eliminate on-premises port scans and other network security threats, and feel confident in addressing regulatory or privacy/security concerns.