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Provide real time data without physical data integration
Data virtualization to enable modern data integration and Search
Data lakes are currently the method of choice for integrating, managing, analyzing, and leveraging vast amounts of data.
A data lake is being used as a method to derive data-based business insights by integrating structured and unstructured data that grows in real time and utilizing it for analysis.Building a physical data lake is a good way to consolidate data into a single repository, but there are also issues that need to be addressed, such as data movement, synchronization, wasted space, and decryption of sensitive information.
Data virtualization, which has recently emerged as a way to address issues arising from building such physical data, integrates data into a logical data layer and provides an environment where the latest data can be retrieved in real time. Encore enables more effective project construction by providing consulting and solutions using data virtualization technology for building a data lake.
Solve data lake issues with data virtualization technology For data analysis and utilization, you need a fast data integration and access layer that can easily integrate with heterogeneous data, on-premise and cloud data, or DW/DM/data lake data in real time. Traditional data integration methods do not yield satisfactory results because batch data transmission through common ETL and CDC technologies is slow and expensive. It takes a lot of time and money to solve complex corporate data through physical integration.Encore's data virtualization technology can solve these issues and also solve the problem of data stability.
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Data in the form of silos distributed in complex IT environments such as heterogeneous data, on-premise, cloud data, DW/DM, and data lakes
The method of integration using physical technology not only leads to poor data consistency, but also Burden of cost and resources
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Excessive cost due to data migration and integration through ETL, CDC or replication between various data sources
Need to respond to compliance to prevent exposure of sensitive data of companies by data utilization
Demand for freshness of data existing in various data sources
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Integrated Single View for siled enterprise data and SQL interface request for it
Demand to maintain recent data and integrated connection with existing system data even after Data Lake is built
What is Encore's data virtualization technology?
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01
Korea’s first virtualization technology
Provide real-time integration and
inquiry of the latest data -
02
Integrate data in a logical virtual data layer
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03
Reduced cost and time for data
migration and integration compared
to physical data integration -
04
Real-time search by
recognizing various DBs
such as heterogeneous DB
and same DB as one DB -
05
Resolving data security issues and providing
data stability by controlling access
to data, managing access history,
and processing data masking -
06
Time and cost savings compared
to physical data lakes -
07
An Effective
Data Lake Complementary
Data virtualization technology builds the execution foundation
for data analysis regardless of various formats such as heterogeneous DB,
on-premise, cloud, data lake, RDB, etc.
Data virtualization technology provides the ability to retrieve data from heterogeneous DBs and load them into a cloud data lake.
It is possible to secure an execution basis for data lake analysis and efficient analysis of big data.
Encore data virtualization strategy process
Data virtualization, which can take advantage of the disadvantages of data lakes that can cause high cost and security problems as a supplement,
can utilize data virtualization technology more effectively when built in consideration of a series of processes and key checkpoints.
