Solutions Review's Expert Insights Series is a collection of contributed articles written by industry experts in enterprise software categories. In this feature, Dataddo CEO Petr Nemeth reveals his most important big data trends and predictions for 2023.
Contrary to what you might think, the percentage of businesses investing in digital transformation today is not much higher than it was before the pandemic. What is higher today, however, is the percentage of businesses at more advanced stages of transformation.
They are using more data-producing tools, sharing data with more end users, and making more concerted efforts to govern data.
Extract, transform, load (ETL) is the process of extracting data from various sources, transforming it through various methods, and loading it into a data warehouse or data lake.
Some background: Each day, companies collect massive amounts of data. And while this data could be a treasure trove of strategic insights, many enterprises struggle to make sense of it all.
Each day, companies collect massive amounts of data. And while this data could be a treasure trove of strategic insights, many enterprises struggle to make sense of it all.
According to a recent survey, 76% of organizations are still struggling to understand their data. And while a lack of talent and resistance to change may be driving forces behind the struggle, another factor must be considered: the sheer number of data sources.
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