LOAMICS DATALAKE – Collect, Store, Access your data
Loamics
LOAMICS DATALAKE – Collect, Store, Access your data
Loamics
LOAMICS DATALAKE – Collect, Store, Access your data
Loamics
Store and access proprietary structured and unstructured data in a single, elastic, scalable system.
The volume of data doubles
every year and has reached extreme levels lately, and more than 90% of this
data is unstructured or semi-structured. Add to it the avalanche
of information from real-time IoT sensors.
This represents a double challenge. That of finding an efficient solution to store all this data and also that of permanently having the necessary capacities to process it rapidly. The Loamics DataLake is able to meet both challenges.
Thanks to Loamics DataLake,
you are able to Collect and ingest any raw data in real time regardless
of the volume, sources or format, to be very simply transformed into
homogeneous, efficient and valuable enriched data ready for data
visualization and first levels of analysis.
Through its backend services, Loamics DataLake provides you access to all metadata (contextual data) in a key value system hosted within your own organization. Store and access proprietary data in a single, elastic, scalable system hosted within the organization.
The data is ready to be exposed without the need to replicate, and ready for data visualization in any BI solution like Microsoft Power BI, prepared for high levels of analysis and artificial intelligence.
By clicking on “Get It Now” you initiate the deployment of your own iPaaS solution accessible and operational in just a few hours.
You can start immediately to clean and make data available in a single
location, giving all key users real-time access to their ever-increasing
volume of data – ready to be analyzed, cross-referenced and exchanged.
Your Loamics Solution is fully compatible and easy to plug with some Azure Services as ”Add on”, to have Dynamic digital Twins with Azure Digital Twins, work your data with Azure Synapse Analytics or enjoy the rich graphic vizualizations in Azure Time Series Insights.
Key Benefits/Features:
- Up and running in just 2 hours
- Capable of handling large amounts of structured, semi-structured or unstructured data
- Data Quality
- Data Governance
- Data Security
- Data Science & Artificial Intelligence enabler and accelerator
- The ultimate layer that integrates with an existing infrastructure while enriching it
What this offer includes:
- A middleware of managed services instantly accessible for immediate ease of use
- DataCollect services to Collect and Ingest raw data in real time
- A dynamic library with an already very large number of Codecs and Connectors to support any data source
- A DataLake to Store and Provide access to all metadata in a key value system
- A unique EndPoint for the Data to be exposed without the need to replicate