2016 Data Lake Unstructured Data 
David Menninger's Analyst Perspectives
OCTOBER 31, 2024
I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.
CIO Business Intelligence
APRIL 24, 2024
“Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In
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CIO Business Intelligence
JUNE 28, 2023
The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. They utilized data mining technologies to scrape and compile data for models from 23 international public benchmark databases, and compared that with data generated internally since 2016.
Alation
FEBRUARY 13, 2020
In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.
BizAcuity
MAY 10, 2022
2016: Oracle launches with competencies across compute, storage, and networking. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Businesses find the need to manage unstructured data efficiently as a major business problem.
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