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BEGIN:VEVENT
DTSTAMP:20220812T074334Z
LOCATION:Osaka Room
DTSTART;TZID=Europe/Stockholm:20220627T163000
DTEND;TZID=Europe/Stockholm:20220627T170000
UID:submissions.pasc-conference.org_PASC22_sess137_msa153@linklings.com
SUMMARY:Data Integration in Data Lakes
DESCRIPTION:Minisymposium\n\nData Integration in Data Lakes\n\nHai\n\nAlth
 ough big data is being discussed for some years, it still has many researc
 h challenges, such as the variety of data. The diversity of data sources o
 ften exists in information silos, which are a collection of non-integrated
  data management systems with heterogeneous schemas, query languages, and 
 data models. It poses a huge difficulty to efficiently integrate, access, 
 and query the large volume of diverse data in these information silos with
  the traditional 'schema-on-write' approaches such as data warehouses. Dat
 a lake systems have been proposed as a solution to this problem, which are
  repositories storing raw data in its original formats and providing a com
 mon access interface. In this talk, I will discuss the landscape of existi
 ng data lake problems, and our solutions for integrating multiple heteroge
 neous data sources in data lakes. I will also introduce the recent advance
 s in supporting AI in data lakes.\n\nDomain: Computer Science and Applied 
 Mathematics
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