The Incorta Direct Data Platform

What is The Incorta Direct Data Platform ?

Incorta Direct Data Platform offers an end-to-end self-service data experience, giving everyone the means to acquire, enrich, analyze, and act on your business data with unparalleled speed, simplicity and insight.

Direct is the fastest way to insight

Incorta Direct Data Platform gives any business user the ability to analyze complex business data with full fidelity in real time. It provides integrated user access to all components of the data pipeline - data connections, business semantics, security settings, programming, and publishing - allowing lines of business to be more self-sufficient and agile.

Incorta customers skip expensive and time-consuming data warehouse projects and focus on providing real data, insights, and business results.

Direct data acquisition

As Incorta loads data, it creates a dataset that is actually smaller than the source data, unlike most dimensional modeling schemes that create a larger dataset than the source data. This means efficient cluster data transfers and fast data loads into memory.

• Data connectors - easy to configure and connect to all databases, enterprise applications, data flows, and data file formats. You can monitor and ingest data lakes. Extensible to any data source with our SDK. 
• Parallel Data Loader - Spark executors on partitioned data sources.
• Schema loading and introspection - each connector can interrogate the data source for column names, data types, null handling, cardinality, and relationships.
• Physical schema - A catalog of physical structures that determines what data will be loaded from a data source. Schemas also include data relationships, filters, and computed columns. 
• Direct data mapping - pre-processes raw data to determine all potential query paths, allowing you to light up quick queries on normalized data models (applications) (contrast with dimensional aggregated data models, cubes), which means there is no need for remodeling or data transformations before performing analyses.   

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768

Supported operating systems

Mac OS X 10.5 x (Leopard), Mac OS X 10.6 (Snow Leopard), Mac OS X 10.7 (Lion), Mac OS X 10.7 (Mountain Lion), OS X 10.9 (Mavericks) and Mac OS X 10.10 (Yosemite)

Hardware requirements

Memory - 1 GB of RAM and more

Free disk space - 50 MB

System type - 32-bit and 64-bit OS