Extended data types
Technical featuresthey have access to a wider range of data than the WareHouse data, allowing them to access system records, audio, video and files.
It integrates data storage, SQL queries, analytical processing and access to data sets in different formats.
A first look at what you can do with this product.
Answer questions about your data through reusable queries.
Check previous versions and play analyses with the same context.
Explore large data sets through analytical queries.
Share results in formats that can be used by other areas and tools.
Incorporate new data sets to put them at the service of analysis.
Take the data to the analysis tools your organization already uses.
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25 features
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they have access to a wider range of data than the WareHouse data, allowing them to access system records, audio, video and files.
allow real-time reporting when supporting online analytics, especially when used with integration products.
LakeHouse data applies schematics to data, which helps standardize large volumes of data.
Since data from a LakeHouse data goes through cleaning and integration, they are useful for analysis.
It describes an open architecture oriented to interoperability between technologies.
open table format for large analytical data sets.
It allows you to consult data using SQL.
Manages data partitions without requiring the user to specify them in each query.
you can update the layout of a table as data volume or query patterns change.
allows reproducible queries that use exactly the same table snapshot or allows users to easily examine changes.
allows users to quickly correct problems by restoring tables to a correct state.
Data files are reduced with column and partition level statistics, using table metadata.
Object-level version control is a significant evolution compared to SAN and NAS version control approaches.
Maintains metadata and retention policies to support data governance.
It uses column storage to optimize scanning and aggregation operations, improving query performance.
It employs advanced indexing techniques, including bitmap and invert indexes, to accelerate query processing by allowing filtering and recovery.
an SQL dialect designed for analytical queries, which allows users to perform complex aggregations and filtering with a familiar syntax.
It features a distributed architecture with specialized nodes (e.g., Broker, Historical, Real Time, Coordinator) that can be scaled independently to handle...
Includes authentication, role-based access control and LDAP integration.
It provides a unified query interface from the browser.
Ability to dump queries into different file formats, CSV, JSON, XML.
It allows you to publish a catalogue of compressed data downloads with categories and access configurable by users, organizations and permissions.
It allows you to load data sets via a web interface for processing in the warehouse or the data lake.
Allows access via encrypted web connection or VPN.
The system can be integrated via REST API with analytics systems such as Tableau and Power BI.
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Explore how it relates to other products and shared capabilities.
Consultation · Analysis · Information management
IFINDIT
A platform to work with your organization's information.
Sources of information
A functional view of IFINDIT and its shared capabilities. Each product connects different needs of the organization.
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