Vijay Srinivas Agneeswaran
Vijay Srinivas Agneeswaran

Google Spanner: Beginning of the End of the NoSQL World?

Big Data, Databases No Comment

Google has recently announced that its flagship wide-area database named Spanner has been made available on the Google Cloud. Google Spanner is the next generation globally-distributed database built inside Google and announced to the world through the paper published in OSDI 2012 [1]. This article explores the implication of Google Spanner, in particular to the […]

Read more
Donald Kossmann
Donald Kossmann

SIGMOD 2017 New Location

Uncategorized

Dear SIGMOD/PODS Community: We are pleased to announce that the SIGMOD/PODS Conference 2017 will be held in Chicago in the week of May 14, 2017. We would like to thank all who helped us to find a new venue at such short notice. There were many suggestions, and many people helped investigate possible venues all […]

Read more
Jignesh Patel
Jignesh Patel

The data chatbots are coming

Big Data, data exploration, Databots

The big data era (now more than a decade old) ushered in dramatic shift in mentality whereby enterprises increased their appetite for making “data-driven” decisions. To a large extent, most enterprises have gotten very good at collecting data. Now, the next big challenge is to unlock non-trivial insights that are hidden in that data. There […]

Read more
Donald Kossmann
Donald Kossmann

SIGMOD 2017 Announcement

Uncategorized

Dear members of the SIGMOD/PODS Community: On January 16 (Martin-Luther-King Day in the USA), the SIGMOD Executive Committee decided to move the ACM SIGMOD/PODS 2017 conference out of North Carolina to a new, still undecided location. The decision was made unanimously by the Committee following extensive discussions with the SIGMOD Advisory Board. The SIGMOD/PODS community […]

Read more
Mohamed Mokbel
Mohamed Mokbel

Thinking Spatial

Databases, Recommendations, Spatial, Systems

Self-driving cars, ride-sharing service (e.g., Uber and Lyft), and Pokemon Go are just three examples of recent disruptive applications that gained huge market share and publicity. It is expected that each self-driving car will generate 2 PB of data per year, with 10 Million of such cars by 2020. Uber has 2+ Billion rides so […]

Read more