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This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and datagovernance. 2) When data becomes information, many (incremental) use cases surface. Interactively explore, combine, and shape diverse datasets into data ready for machine learning and AI applications.
Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations. Understand what insights you need to gain from your data to drive business growth and strategy. Data integration: Integrate data from various sources into a centralized cloud data warehouse or datalake.
We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or datalake. So in 2017, we created Kloudio to solve this ubiquitous problem and support this nontechnical user: product managers, financial analysts, marketing ops teams, sales ops teams, etc.
1 AC/DC, the Australian Rock Band: Wikipedia 2 Gartner “Data Catalogs Are the New Black in Data Management and Analytics” by Ehtisham Zaidi, Guido De Simoni, Roxane Edjlali, Alan D.
Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.
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