Data Processing Software (Big Data)

Data Processing Software: Profiling, Acquisition, and Transformation of Data

Big Data Processing Software

According to the Open Knowledge Foundation, data processing „a simple way to place collections of data and their descriptions in one place, so that they can be easily exchanged and used“ and that a data packet „is in a format that is very simple, web-friendly, and extensible“.

For IRI and many people in the data processing and data science world, data processing via software is a manifestation of data integration, staging, or wrangling operations, which can include tasks such as consolidation, cleansing, and anonymization in addition to data transformation and filtering. IRI data processing software has been processing large amounts of data into usable and meaningfully formatted result sets for decades, quickly, reliably, and affordably.

Consider CoSort's traditional strength – fast sorting – and how important that is for so many large data staging processes, which also involve lookups, joins, aggregations, and remapping.

Today you can use the CoSort Engine or interchangeable Hadoop engines (MR2, Spark, Spark Stream, Storm, and Tez) within the IRI Voracity platform Use for complete data management to process data in many ways. Combine, mung, clean, mask, and mine structured and semi-structured internal and „open“ sources for analytics, governance, and DevOps. There are also many things you can do with unstructured data that has been discovered and extracted in Voracity.

Data processing software
Data Processing Software: What can I do specifically and how?

More precisely, can you the Data Processing Software (IRI Voracity Platform) to use for total data management based on CoSort (or Hadoop) to bundle different data sources. You can unify and distill related elements into multiple, specially crafted, custom-made targets suitable for research and analytics. With Voracity, you can do all these things:

    • Data Acquisition (Extraction), Manipulation (Transformation), and Population (Loading)
    • Data Filtering, Cleaning, and Validation (Improving Data Quality)
    • Master Data Management (MDM)
    • Data Federation and Virtualization Data integration, inclusive:
  • Data Reporting (integrated BI)
  • Data migration and replication
  • Data classification, scanning & Masking (see Big Data Protection)
  • Test data generation (see Big Data Protection)
  • Data Wrangling for BI tools like Qlik and Tableau, or analysis software like R or KNIME (see also the Big Data Deployment tab above).

Most of these activities can be specified and combined into wizard-driven, task-consolidating, single IO job scripts or well-structured batch workflows that contain them. Using the intuitive diagrams or the self-documenting text files that illustrate them, you can easily understand, modify, run, schedule, and release your jobs.

See the award-winning IRI 4GL data manipulation program (SortCL) and the graphical IDE based on Eclipse (IRI Workbench) based to create, automate, and manage your data packaging orders…. large or small, simple or complex, local or in the cloud.