28. 0230
Data Integration Project / Features
Modeling / Implementation Test Deployment Execution /
Documentation Monitoring
Edition
Big Data Hadoop FileScale
Talend Administration Center
Cluster High Availability Load Balancing Failover
Audit Execution Plan Error Recovery
Professional
Business Rules API Distant Run Event Scheduler Dashboard
Auto Doc Ref. Projects CDC Command Line Time Scheduler AMC
Team Business Modeler Web Job Designer+ Job Conductor Portal Gadget
Shared Repository / Versioning
Open Business Modeler Job Designer Comp. Context
? Talend 2012 28
#11: What do we mean by “holistic”?The Merriam Webster dictionary defines holistic as: “relating to or concerned with wholes or with complete systems rather than with the analysis of, treatment of, or dissection into parts - [for example:] holistic medicine attempts to treat both the mind and the body; holistic ecology views humans and the environment as a single system.”?While IT often uses terms from the general corpus loosely, holistic works in this case. Holistic integration brings together all enterprise integration needs, including data, applications and business processes, as a complete system as opposed to disjointed technologies.?
#13: Why do we take a holistic approach to integration?The role and impact of integration has shifted, and how a more comprehensive and managed approach to integration is required, thanks to such major trends as cloud, hybrid computing, and managing massive datasets.?The tools that support enterprise integration need to be usable by more types of workers, for example those that are involved with business process activities and data analysis. The so-called democratization of IT effect is also rapidly progressing into this traditionally complex and isolated world of applications and data integration.?Talend provides a holistic approach to integration, enabling organizations to converge traditionally disparate integration efforts and practices through a common set of products, tools, and best practices. The Talend Unified Platform provides a common foundation for the products to be used individually or in concert depending on the needs of the organization.
#14: Enterprises continue to shrink their ETL and CDC batch intervals from daily to 12 hours or even hourly. In addition, streaming data, external data from partners and marketplaces, and automated data from radio frequency identification (RFID), logs, and systems are growing significantly, requiring improved levels of real-time integration with structured and on-premises data.Smart devices, web apps, and social media are driving the need to share and access information more quickly than ever before.
#15: What do we mean by “holistic”?The Merriam Webster dictionary defines holistic as: “relating to or concerned with wholes or with complete systems rather than with the analysis of, treatment of, or dissection into parts - [for example:] holistic medicine attempts to treat both the mind and the body; holistic ecology views humans and the environment as a single system.”?While IT often uses terms from the general corpus loosely, holistic works in this case. Holistic integration brings together all enterprise integration needs, including data, applications and business processes, as a complete system as opposed to disjointed technologies.?
#19: Organizations are looking for a “one-stop shop” to address integration of processes, data and applications.Increased speed of project delivery: Project teams no longer have to expend time and efforton selecting vendors and tools, procuring.■ Improved quality and consistency in projects and architectures: New projects can leveragetools, computing capacity and architectural models that have been tested and fine-tuned innumerous prior implementations.■ Cost savings: Organizations are able to remove redundant, project-specific environments,leading to significant savings on an annual basis. In the past, each project would have requiredits own infrastructure, but the shared-service implementation avoids a large percentage ofthose costs.■ Reuse spanning the COEs: The organization can reuse assets across COEs, including dataarchitecture and transformation logic, canonical forms, and semantic and ontology informationabout data.