'Associative database technology' is the only technology that can address most of today’s challenges.
Relational Database paradigm leads to the following data issues and challenges –
As data is extracted from various redundant systems it requires extensive cleansing, which leads to –
Extensive ETL process requires extensive reconciliation, which leads to –
Current data warehouses is not suitable for Transactional and Analytical processing at the same time, leads to –
Advantages with AtomicDB –
Since data resides in a single instance storage -
Since ETL (Transform) process are not required –
Being Atomic in nature, the architecture natively supports –
Information Management Service Overview
Atomic Information Management Service is a (SaaS) based model, which allows customers to upload their data and use the capabilities of AtomicDB to cleanse, consolidate and aggregate their data.
If you are interested in learning more about the service, click here to get in touch with us.
Conventional Data cleansing Process Life Cycle
Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
For those who have been dealing with this process, would agree this is no trivial task. The above process flow diagram is a conventional approach followed and each stage is painful and time-consuming process. Any optimization and efficiency would mean significant cost saving.
Our Data cleansing Process Life Cycle
AtomicDB is based on Associative technology where every data element is an object stored just once (single instance storage), which means only one unique value per item is stored in the database. As part of the initial load process, the data is deduplicated and all NULL values are eliminated.
Data consolidation and Aggregation
A true object oriented design approach will facilitate reuse of information without having a need to ever duplicate them.
Breaking down the silos by creating a single instance data warehouse or custom data collections allowing cross integration of organizations and systems.
Driving sustainable cost reduction from infrastructure optimization, simplification, operational efficiency and reduction in time and human resources.
Co-Existence of Disparate and ADB Systems
We provide a phased out approach, which allows customers to configure and setup Bi-directional data bridges, which establishes two-way connection between current systems and AtomicDB Data Warehouse.
Existing applications can continue to work against the current database systems, while new Business Intelligence, Reporting and Applications can be designed on newly established AtomicDB Data Warehouse.
As efficient newer applications are developed, implemented against the new AtomicDB Data Warehouse, old Application can be decommissioned gradually.
This approach allows for seamless transition and minimum system downtime, which translates to 'No Business Risk'.
Demonstration of Data Aggregation from multiple sources into AtomicDB
If you are interested in a demo or learning more about the service, use the information below to get in touch with us.