Data Life Cycle Management


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Overview Discover & Define Design & Develop Debug & Deploy Display & Deliver DLCM

Within its single pane of glass built on Eclipse™, IRI Voracity® offers multiple data discovery and metadata definition tools for organizing, governing, and exploiting your data sources on systems far and wide.

Data life cycle management (DLCM) is the process of curating data ... from planning its requirements all the way through its use and retirement. The cycle can manifest across applications, databases, and storage media.

Data cleaning and curation is the cornerstone of modern BI pipelines. Data must first be "Catalogued" and "Connected" before it can be "Consumed" by applications and various analytic tools.

- Tamr

DWDigest screenshot

From profiling existing data to defining new data types, from data mapping and masking to analytics, and from metadata management to master data management, every stakeholder can share the free Eclipse™ GUI for Voracity, IRI Workbench, to curate and exploit data as a team, be it on-premise or in the cloud.

Following are just some of the things you can do in IRI Workbench, most simultaneously:

magnifying glass icon Profile & Acquire
an incomplete circle icon Cleanse & Unify
lock icon Protect & Audit
speedometer icon Process & Provide
a checkmark icon Express & Predict
copies of a paper Convert & Replicate
an arrow pointing up Publish & Share

Profile & Acquire

Profile and Acquire screenshots

Discover and extract data and metadata and auto-create IRI-ready metadata as you connect to one or more of these data sources.

Use Voracity GUI support for features in CoSort (SortCL) and RowGen that define custome data structures, mask date formats, and built test data formats and values.

Cleanse & Unify

Cleanse and Unify screenshots

Use GUI-supported data quality features in the CoSort SortCL program to filter, enrich, scrub, and standardize data in multiple sources.

Use Voracity MDM modules to select, fuzzy-search, and merge reference data into master tables and values.

Protect and Audit

Protect and Audit screenshots

Auto-locate and classify sensitive data, and then automatically de-identify it at the field-level ... even as you filter, transform, report on it, or hand it off. Use the FIeldShield functions built into Voracity to encrypt, hash, pseudonymize, redact, tokenize, etc.

Produce an automatic XML audit log from any Voracity job for query-ready reports of the runtime environment and all protection parameters.

Process & Provide

Process and Provide screenshots

Integrate, migrate, govern, and analyze data in the same job and I/O pass using parallel CoSort (SortCL) programs or Hadoop engines, which you design and deploy in the same 'pane of glass,' the Voracity GUI: IRI Workbench.

Use GUI workflow diagrams to designate and visualize any number of test or production targets in table, file, report, cube, or DB loader format.

Express & Predict

Express and Predict screenshots

Use embedded BI features to aggregate, cross-calculate, and format data in detail, summary and trend reports, or hand-off results to your analytic tool.

Exploit in-memory integration with BIRT with Voracity in Eclipse™. BIRT consumes IRI data sources in its ODA driver, using stdout field names and values at reporting time.

Convert & Replicate

Convert and Replicate screenshots

Use file and database migration wizards in NextForm, a component product in Voracity, to expedite conversion of legacy data sources and data types or simply specify new target formats in any operation.

Create copies and subsets of data in any number of formats at once with simple GUI dialogs, or use the myriad ETL design options in Voracity for more elaborate data replication.

Publish & Share

Publish and Share screenshots

Beyond your options for directing results to federated or persistent targets, you can connect others to them in shareable repositories lik EGit, Subversion, CVS, etc.

Version-control your data and metadata, track their changes and lineage, and secure access to both in the cloud.

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