When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.
Integration platforms as a service (iPaaS) provide a centralized console to manage, govern, and integrate cloud-based applications. These tools work by connecting cloud applications and services, and controlling integration flows. They can speed up product development by integrating existing tools, and increase data volume by utilizing external sources. Companies use these tools to scale performance needs, add product functionality, and structure application integrations. Features or data can be added or removed quickly, reducing failover, downtime, and development time. There is some relationship between iPaaS and ESB software, but iPaaS is typically used for customer-facing applications, while ESB is used for internal data transfers and updates.
Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.
Whether you’re in the cloud, on mobile, on premises or in the IoT, IBM MQ simplifies, accelerates and facilitates security-rich data exchange.
Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.
Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.
To drive big data innovation, Hitachi Vantara offers two flavors of Pentaho : Pentaho Enterprise Edition, which is commercially supported, and Pentaho Community Edition, our contribution to the open source movement. Both offerings are built on the same core platform. However, there are major differences between the two, which impact how best to integrate Pentaho into your big data strategy, including features, packaging and support services.
Big data is about changing the status quo for established organizations and fueling the growth of new and disruptive businesses. Big data projects focus on enabling analysis of and interaction with new types and combinations of data at a far greater scale than has been possible with traditional enterprise business intelligence (BI) and data warehousing systems.
The company has announced the launch of the latest version of its Pentaho data integration and analytics software, which includes integration with its own Hitachi Content Platform object storage.
Bundespolizei is part of Germany’s Federal Ministry of the Interior and employs 41,000 citizens. Bundespolizei oversees air control, air safety, rail patrol, border patrol, crime reduction throughout Germany and patrol of their waters. In addition to their responsibilities within Germany, they work worldwide with other police agencies within the European Union and neighboring countries.
2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.
DataIQ undertook twin-track research in the UK to examine how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulation. The project had three key objectives:
The research was built around four key areas of data protection and privacy management: mobile and digital (the issues specific to those channels), relevance and accuracy (how data should be kept upto-date), readiness (how consumers and businesses are preparing for GDPR) and regtech (how technology can support GDPR compliance). Results from the research are presented in a series of four white papers, each of which looks at one of these areas.
This whitepaper specifically focuses on the research segment conducted by DataIQ in association with Tealium. It looks into the how aware consumers are of the way data is collected from their mobile and digital footprint, as well as how businesses rely on these data streams to deliver personalized services and a better customer experience.
2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.
DataIQ undertook twin-track research in the UK to examine how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulation. The project had three key objectives:
The research was built around four key areas of data protection and privacy management: mobile and digital (the issues specific to those channels), relevance and accuracy (how data should be kept upto-date), readiness (how consumers and businesses are preparing for GDPR) and regtech (how technology can support GDPR compliance). Results from the research are presented in a series of four white papers, each of which looks at one of these areas.
This whitepaper specifically focuses on the research segment conducted by DataIQ in association with Tealium. It looks into the how aware consumers are of the way data is collected from their mobile and digital footprint, as well as how businesses rely on these data streams to deliver personalized services and a better customer experience.
Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.
OSIsoft commissioned Navigant Research to analyze its PI System through interviews with customers, market data, and analyst insights into the market. This analysis does not represent an endorsement of the PI System but rather a review of key findings and case studies from the user perspective. Findings from the interviews show compelling evidence for positive returns on investment (ROIs) from a PI System deployment. However, a critical element Navigant Research’s analysis uncovered the need to select the appropriate use case for the system.
This white paper contains Navigant Research’s view of key trends within the digital transformation market, case studies from PI System customers, and Navigant Research’s recommendations for industrial customers considering digital transformation platforms.
This Market Pulse report from IDG, shows that companies in the industrial sector expect to gain significant value from analyzing their operational data, but only if they can overcome a series of obstacles around handling data and forging connections among business units.
OSIsoft, who commissioned the research around this report, is the most widely deployed solution for capturing data from sensors and smart devices across manufacturing, energy, utilities, pharma, life sciences, transportation and facility management. OSIsoft’s software turns vast data streams into rich, real-time actionable insights.