Solution
Data Warehouse Offload
Fast-track big data benefits with enhanced data warehouse
Close the gap between end users and technical teams by allowing them to work together on Blendata Enterprise where data is dynamically collected in usable formats such as flat files (CSV, JSON, Text), databases, logs, or cloud storage accessible to users.
Close the gap between end users and technical teams by allowing them to work together on Blendata Enterprise where data is dynamically collected in usable formats such as flat files (CSV, JSON, Text), databases, logs, or cloud storage accessible to users.
Collected data can be accessed anytime regardless of their origins with a simple query function that allows you to process big data easily without technical knowledge, or choose a native SQL+SparkSQL function for advanced users who need complex processing such as JSON, or adapt it for a statistical purpose.
Collected data can be accessed anytime regardless of their origins with a simple query function that allows you to process big data easily without technical knowledge, or choose a native SQL+SparkSQL function for advanced users who need complex processing such as JSON, or adapt it for a statistical purpose.
Export processed data in CSV or PDF formats, or to public cloud storage such as S3, or other well-known databases, all this without coding.
Export processed data in CSV or PDF formats, or to public cloud storage such as S3, or other well-known databases, all this without coding.
Create interactive dashboards that can be accessed and viewed anywhere and anytime on a web browser with access control security that protects all elements from the dashboard to the data.
Create interactive dashboards that can be accessed and viewed anywhere and anytime on a web browser with access control security that protects all elements from the dashboard to the data.
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