Examples of using Data integration in English and their translations into Indonesian
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SnapLogic seeks to simplify data integration.
Data integration: Information in multiple systems are kept consistent.
Where will your data integration take place?
Apatar, Inc. is the developer of a commercial open source data integration product.
With Huawei Wear APP data integration, to provide a complete, unified sports and health services. What is….
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This definition would fit enterprise application integration and data integration software.
Here are five of the most common data integration use cases that apply across a wide range of industries.
It negotiates and employs the essential functions of mutual authentication,data encryption and data integration for secure transactions.
To create these dashboards, organizations might use a data integration platform or a conglomeration of several different standalone tools.
Enterprises have been using ETL tools for these purposes for decades,and it is one of the most familiar types of data integration software.
Installation of the system without elaborate application/data integration by the Information Technology(IT) department.
This data integration use case is the most complicated of all, and it requires very advanced data integration and analytics software.
For that, organizations typically use a type of data integration software known as extract, transform, load, or ETL.
These data integration use cases range from migrating data to syncing records in multiple systems to providing a 360-degree view of a customer.
One of the earliest solutions to this problem was a type of data integration tool known as electronic data interchange(EDI).
With support for advanced data integration, multithreading, HD video using IIS Smooth Streaming, and built in content protection, Silverlight enables online and offline applications for a broad range of business and consumer scenarios.
The hierarchal structure of traditional manufacturing needs to be replaced by vertical andhorizontal data integration spanning all of the processes involved in the production chain.
This usually requires a data integration tool with data governance solutions and master data management(MDM) capabilities.
Its platform will generate datasets on adherence based on anonymized bigdata using its technologies to facilitate end-to-end data integration, a collaboration between different players in the healthcare sector, predictive modeling of the efficiency of different drugs to enhance clinical trial efficiency.
Through tools like Pentaho Data Integration, our aim is to democratize the data engineering and data science process to make Machine Intelligence- a combination of Machine Learning and AI- more accessible to a wider variety of developers and engineers.
And in order to choose the best tools, they need to have a data integration strategy, as well as data integration use cases that make sense from a financial perspective.
The report's authors note that,“Gartner estimates that the data integration tool market was worth approximately $2.4 billion in constant currency at the end of 2014, an increase of 6.9% from 2013.
The Standard method- data integration and reporting describes the process used by INCAS for quantifying GHG emissions and removals from activities occurring on forest lands including deforestation, forest degradation, sustainable management of forests, and enhancement of forest carbon stocks in Indonesia.
Enterprises have to choose among on-premise and cloud-based data integration tools,single-purpose tools and multi-function data integration platforms, and proprietary and open source data integration tools.
Through tools like Pentaho Data Integration, our aim is to democratize the data engineering and data science process to make Machine Intelligence- a combination of Machine Learning and AI- more accessible to a wider variety of developers and engineers.
When using this definition,business intelligence also includes technologies such as data integration, data quality,data warehousing, master data management, text and content analytics, and many others that the market sometimes lumps into the Information Management segment.
The Data Web enables a new level of data integration and application interoperability, making data as openly accessible and linkable as Web pages.
To create these repositories they need data integration tools that can collect relevant data from a wide variety of different applications and systems.
According to the Gartner report,“Enterprise buyers increasingly see data integration as a strategic requirement, for which they want comprehensive data delivery capabilities, flexible deployment models, and synergies with information and application infrastructures.”.