Incorta Data Analytics Platform

For data collectors looking for more agility and fewer barriers, more innovation and less waiting, more insights and less frustration, Incorta is the data analytics technology that delivers breathtaking performance without the cost, complexity and proprietary blocking of other solutions.

Fabricantes: Incorta
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What is Incorta Data Analytics Platform?

Incorta data analytics platform: the biggest change in corporate data in more than 20 years

For data collectors looking for more agility and fewer barriers, more innovation and less waiting, more insights and less frustration, Incorta is the data analytics technology that delivers breathtaking performance without the cost, complexity and proprietary blocking of other solutions.

Incorta is a different type of data analysis

Building the Incorta data analytics platform from scratch to provide line-of-business users with a quick and simple way to acquire, enrich, analyze, and act on business data from leading enterprise applications.

Unified Platform

Incorta consolidates the most essential data and analytical functions into a single integrated solution for data acquisition, data storage, business semantics, scheduling, monitoring and alerting, data exploration, and data visualization.

Provides a streamlined data experience without the need to bring together multiple products and components.

Modern architecture

The data analytics platform combines an open data lake with in-memory analytics to provide durable storage and responsive queries. Multiple workloads can be serviced with Spark's integrated mechanism, such as big data processing, data enrichment, and machine learning.

This translates into less friction, more consistent responses and faster innovation.

Revolutionary Performance

The Incorta Direct Data Mapping engine delivers incredibly fast query performance without the need to pre-aggregate, reshape, or transform data in any way. Summaries and rollups are calculated on-the-fly against total loyalty business data.

It allows users to ask any question and explore any direction immediately, even in relation to billions of records, without having to wait for new models or ask for new datasets.

What makes the Incorta data analytics platform different?

Incorta stands out from other data analysis platforms because Incorta does not require data to be aggregated and redesigned to fit the usual data warehouse template. Incorta is able to analyze complex business data with full fidelity in real time.

The key is Incorta's Direct Data Mapping technology, which automatically analyzes incoming data, eliminates the need for more data engineering, and enhances the innovative analytical performance for which Incorta is known.

This translates into much faster implementations, more actionable data, better security, and true end-to-end self-service.

A Incorta Direct Data Platform

Combines concepts of modern data lake architectures and columnated analytical databases in memory on an end-to-end analytics and data platform that includes:

  • Data acquisition from any data source, with extensible connectors, parallel data loading, and schema introspection and mapping.
  • Data management through the built-in Spark engine, with support for big data processing, data enrichment, and machine learning.
  • Data analytics optimized for fast, efficient memory-efficient operation, accessible using Incorta's native tools or third-party BI tools such as Power BI or Tableau.

As Incorta loads data and metadata through one of its more than 40 connectors, it builds an open data lake that can feed analytics and data science use cases. Leveraging standard storage formats such as Parquet to provide archived data durability and analytical performance without the risk of vendor dependency, customers can choose between Amazon S3, Google Cloud Storage, and Microsoft Azure Data Lake Storage Gen2 for better security, availability, and low-cost.

The result is a single data repository and a single source of information for multiple workloads, including business intelligence, analytics, and machine learning. This also means incredibly fast performance, whether you're exploring data for insights or developing Python, R, or Scala solutions within a Spark notebook.

From an infrastructure point of view, Incorta is extremely flexible. It can run on-premises, hosted by its own cloud provider, or delivered as a fully managed cloud service. The platform can run as a complete standalone pipeline of data and analytics or as a component within a larger portfolio of BI analytics and technologies.

Incorta is for everyone in your company

With its direct simplicity, ease of use and practical features, Incorta consistently delivers better business results for data problems of all sizes, from department-level innovation to enterprise--based operational reporting.

Fast time to value

Because Incorta doesn't need pre-optimized data to achieve fast performance, data can be made available to users immediately, without the need for dimensional models, cubes, and extensive BI projects. In many cases, this reduces deployment time from months to just days. The value for your organization is immense: individuals and teams can conduct experiments in real time, testing and proving value incrementally and scaling in stages, rather than requesting large initial investments.

Actionable insights

Once detailed and granular business data is brought to the platform and none of the data is thrown away, users can easily drill from summary aggregates to detailed records or line item transactions. No special application, coding, or predefined drilling paths are required. This allows users to act on their data: moving seamlessly from high-level trends and insights to performing root cause analyses.

Security without compromise

Fine-grained data enables the security of fine-grained data that can faithfully replicate source system security by evaluating row/column-level hierarchies and permissions at run time. No more need for trade-offs between data fidelity, performance, privacy and controls.

True Self-Service

The promise of analytical self-service was made years ago. The problem was that 'self-service' only outsed the query tools. When business users needed more data, different processing or even different cuts or rollups, instead of 'self-service' it was 'ask IT'. Incorta enables business users throughout the data pipeline for true end-to-end self-service.

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

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