Data Transformation Software Unstructured Data 
CIO Business Intelligence
JANUARY 24, 2024
“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”
CIO Business Intelligence
FEBRUARY 20, 2024
Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.
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Wayne Yaddow
MARCH 14, 2025
How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.
Smart Data Collective
OCTOBER 13, 2021
There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is becoming more popular due to its huge benefits.
CIO Business Intelligence
APRIL 8, 2025
Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data. Low cost, flexibility, captures diverse data sources. Easy to lose control, risk of becoming a data swamp. Exploratory analytics, raw and diverse data types.
erwin
MARCH 26, 2020
Increased data variety, balancing structured, semi-structured and unstructured data, as well as data originating from a widening array of external sources. Reducing the IT bottleneck that creates barriers to data accessibility. Hybrid on-premises/cloud environments that complicate data integration and preparation.
Sisense
DECEMBER 12, 2019
Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?” Scalability and flexibility of software determine its longevity.
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