We are currently looking for summer interns to work on challenging problems involving PL and machine learning techniques in DBMS settings. Interested Ph.D. students can apply via the below posting or can DM/email me directly.
https://t.co/OZH60EORrU
Our group at MSR, Redmond is looking for summer interns for 2023 to work on exciting research projects in the areas of data systems and exploration. Please consider applying.
The Data Systems group at MSR Redmond is now looking for in-person summer 2023 interns in systems and exploration areas! Interested PhD students (US and international) can apply at links below.
Database systems: https://t.co/ann5w5xf0Y
Data exploration: https://t.co/jS1iBcA8Mv
@TweetAtAKK@niviksha@AlekhJindal@MoSarwat@adityagp@dorisjlee@me_dorx That's true, I'm yet to encounter queries performing pivot or unpivot operations in big data pipelines, including those that output unstructured data where the limitation of knowing schema in advance isn't an issue.
@TweetAtAKK@MoSarwat Surprised to see not many votes for option C so far. DataFrame for ad hoc exploration (over small datasets on a single machine), SQL for prepared/mission-critical/large-scale dedicated tasks. Would love to hear from @adityagp, @dorisjlee, and @AlekhJindal what they think ...
@sarahcat21 Agree with the sentiment, but despite the strong appeal and the long line of technical results in AQP, it has yet to find a substantial footprint/adoption in data products and services... this paper talks about the challenges: https://t.co/S0vlJyvUmW
What’s Next for Technology and Humanity? Join us October 18 - 20 for #MSFTResearchSummit, where we will convene to explore some of the most pressing questions facing our research community. Registration opens on September 13th: https://t.co/89yONFLI5D
@sarahcat21 Indeed, the sessions are less focused w/ fewer/broader themes. That said, a few things that stand out to me include more emphasis on database tuning, many new benchmarks, a lot more papers on graphs & fewer papers on data exploration/prep. QP on modern HW remains under spotlight
The CACM version of our SIGMOD'20 best paper award on visual querying systems is finally out! There's also a slick video (replete with stock footage of vis dashboards!) featuring @tariquesdd, who led this work: https://t.co/N1wLm1plL2
https://t.co/nSxS1QGHPB
Check out our work on expressive visual querying published as a Research Highlight paper in the July edition of CACM. We summarize our work on accelerating the search for patterns and trends in large datasets and discuss open problems for future research.
https://t.co/8C9Nkkbx2L
If you rank every major software innovation (OOP, containers, version control, deep learning, consensus algorithms, asymmetric encryption, whatever...) by the value it created, the relational database would come out at the top and it's not even close
@sarahcat21 Depends on the user, but not everyone needs to learn/master SQL. Machines are getting better at auto-generating expressive/complex SQL queries...