IBM Cloud Private for Data is an
integrated data science, data engineering
and app building platform built on top of
IBM Cloud Private (ICP). The latter is intended
to a) provide all the benefits of cloud
computing but inside your firewall and b)
provide a stepping-stone, should you want
one, to broader (public) cloud deployments.
Further, ICP has a micro-services architecture,
which has additional benefits, which we
will discuss. Going beyond this, ICP for Data
itself is intended to provide an environment
that will make it easier to implement datadriven processes and operations and, more
particularly, to support both the development
of AI and machine learning capabilities, and
their deployment. This last point is important
because there can easily be a disconnect
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists
Published By: Delphix
Published Date: May 03, 2016
High-profile data breaches continue to make headlines as organizations struggle to manage information security in the face of rapidly changing applications, data centers, and the cloud. Against this backdrop, data masking has emerged as one of the most effective ways to protect sensitive test data from insider and outsider threats alike.
While masking is now the de facto standard for protecting non-production data, implementing it alongside virtual data technologies has elevated its effectiveness even further.
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s).
You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases.
If this is not the case, then only manual or synthetic data provision is a viable option.
Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
Over the last several years CA Technologies has acquired a number of companies and their respective products, to augment its continuous delivery suite and, especially, its DevTest portfolio. In particular, it has recently acquired Grid-Tools and Rally Software. Bloor Research has been asked to explore how Grid Tools’ products – now known as CA Test Data Manager (formerly Datamaker and CA Datafinder) and CA Agile Requirements Designer (formerly Agile Designer) expand and augment the capabilities provided by CA Service Virtualization (previously iTKO’s LISA) and CA Agile Central (formerly Rally), making the whole greater than the sum of the parts.
Published By: CA WA 2
Published Date: Oct 01, 2008
Given the increased complexities and requirements thrust onto data center management environments over time, a more holistic management approach is necessary for efficient and cost effective delivery of IT services. Authors and analysts Judith Hurwitz and Robin Bloor bring their research and extensive experience to light in respect to the state of data center management by building the case for automation as a key strategy for efficient and cost effective management.
We all have an intuitive idea of what an event is. However, when it comes to the use of the term "event" within a business context then it is easy to get confused. This papers seeks to explain what events are, whey they are important to your business, and what the options are for processing and managing these events (depending on their type and volume).
Unified Communications (UC) aims to unite securely and seamlessly all the different business communications channels that exist in a company. That includes voice, video, data, IM, mobility and the Web etc. This report examines in detail the key industry drivers and benefits that are inspiring large scale enterprises to adopt a Unified Communications strategy.
Published By: OutSystems
Published Date: Apr 10, 2014
David Norfolk of Bloor Research International discusses research that compares two high-productivity platform as a service (PaaS) development platforms: OutSystems Platform and Force.com from Salesforce.com (now re-branded as Salesforce1 Platform). In this webcast, he will debunk the main myths surrounding high-productivity application development and how both platforms have overcome them, albeit with somewhat different approaches for different kinds of customers.
The implementation of an information strategy is critical to your organization's business success and key to sustaining your competitive advantage. IBM’s Information Agenda has been specifically designed to help. Philip Howard of Bloor Research has helpful insights on getting started.
Organizations today are reevaluating their security strategies as they move their data and applications to the cloud. This whitepaper by Bloor Research discusses the challenges of security in the cloud and how the use of cloud-based services will enable organizations of all sizes, from the very smallest to multinational enterprises, to put trust back into the security equation.
Read this report to learn how cloud-managed integration delivers 2.5 times faster time-to-value, reduces the total-cost-of-ownership (TCO) by as much as 40 percent, and delivers business results for companies such as AAA, GoPro and Kelly-Moore.
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
Philip Howard of Bloor Research compares performance capabilities of the leading BI platforms. Companies studied in this comparison are IBM (Cognos, DB2 with BLU Acceleration), SAP (BusinessObjects, HANA), Oracle (Business Intelligence, Exadata) and Microsoft (Business Intelligence, SQL Server).
His conclusion? "DB2 with BLU Acceleration should not only provide better performance in the first place but also provide consistent performance, with a corresponding requirement for less hardware and less cost."
Bloor Research investigated several key critical success factors for big data analytics. Their findings show that governance, data cleansing, and privacy and security have never been more important. Read this paper to see their conclusions.
Published By: OutSystems
Published Date: Jan 29, 2014
The paper, authored by Bloor Research, includes a comprehensive analysis of the two PaaS solutions with a focus on providing an objective look at two products that are both ‘fit for a purpose.’ The paper provides enough information to help IT professionals determine which product matches their needs and requirements.
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
Published By: CA ITAM
Published Date: Sep 09, 2008
Robin Bloor addresses the business value to be derived by evaluating key client management processes such as asset management, service management, change management, security and integration/automation against four maturity levels. Read this white paper to learn how to align your people, processes and technology to elevate the maturity of your client management.
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