Ehsan Totoni (@ehsantn) 's Twitter Profile
Ehsan Totoni

@ehsantn

Co-founder and CTO at bodo.ai. Democratizing HPC for Data Scientists.

ID: 1367927149

calendar_today20-04-2013 20:15:23

83 Tweet

75 Takipçi

63 Takip Edilen

Travis Oliphant (@teoliphant) 's Twitter Profile Photo

bodo.ai SnowflakeDB This is the real deal. Bodo built on the success of Numba to combine compiled pandas and automatic parallelism (with MPI) to get incredibly fast data processing using simple syntax. It is particular great for ETL. It can make your code using PyData *fast* — simply.

Ehsan Totoni (@ehsantn) 's Twitter Profile Photo

Great blog by Bodo CEO Behzad Nasre on how our partnership with SnowflakeDB will simplify Python analytics/ML on massive datasets. #python #pandas #LetsBodo

Ehsan Totoni (@ehsantn) 's Twitter Profile Photo

Bodo's collaboration with Xilinx will democratize the compute power of FPGAs for Python developers. This is critical for application domains like media workflows (e.g. video processing) that require domain-specific hardware like FPGAs to achieve reasonable power consumption.

bodo.ai (@bodo_ai) 's Twitter Profile Photo

Petabyte-scale #Pandas is now as easy as coding on your laptop. #dataengineering will never be the same. #ETL #Analytics #Python Try Bodo for free: bodo.ai

Petabyte-scale #Pandas is now as easy as coding on your laptop. #dataengineering will never be the same. #ETL #Analytics #Python Try Bodo for free: bodo.ai
Data Council (@datacouncilai) 's Twitter Profile Photo

There are 20+ peer-led events happening around Data Council AI next week! Everything from a cruise to see bats migrate to a good old fashioned HH. Can't wait to see you all there!

There are 20+ peer-led events happening around <a href="/DataCouncilAI/">Data Council AI</a> next week! Everything from a cruise to see bats migrate to a good old fashioned HH. Can't wait to see you all there!
Ehsan Totoni (@ehsantn) 's Twitter Profile Photo

Spark is sold as fault tolerant, but it fails unnecessarily all the time in practice! Confusing "distributed system" (e.g. web portal) resilience and parallel computing (data analytics) resilience has major consequences. Learn more here: lnkd.in/ggNB7ahS

bodo.ai (@bodo_ai) 's Twitter Profile Photo

Read the latest blog from our CTO and co-founder Ehsan Totoni where he talks about Bodo's #OpenSource roots, our engagement with various Open source projects, and future plans for contributing to them. #Numba #Pandas #IPython Link to Blog --> bodo.ai/blog/bodos-app…

Ehsan Totoni (@ehsantn) 's Twitter Profile Photo

"Unless its opposite could possibly have something to recommend it, a word is too woolly to be truly helpful." economist.com/business/2022/…

bodo.ai (@bodo_ai) 's Twitter Profile Photo

Bodo CTO and co-founder Ehsan Totoni talks about our #OpenSource roots, our engagement with Open source projects, and future plans for contributing to them. #Numba #Pandas #IPython Link to Blog --> hubs.ly/Q01bs_Hm0

bodo.ai (@bodo_ai) 's Twitter Profile Photo

Announcing Early Access to BodoSQL - bridges the gap between Python and SQL with type-checking, error-checking, end-to-end optimization, and parallelization Speed+Efficiency across both languages. #BigData hubs.ly/Q01cjPnQ0

Announcing Early Access to BodoSQL - bridges the gap between Python and SQL with type-checking, error-checking, end-to-end optimization, and parallelization Speed+Efficiency across both languages. #BigData hubs.ly/Q01cjPnQ0
Ehsan Totoni (@ehsantn) 's Twitter Profile Photo

SQL compute could use proper parallel computing too! BodoSQL can make data processing workloads much simpler and faster for big data. #BigData #SQL

bodo.ai (@bodo_ai) 's Twitter Profile Photo

Announcing BodoSQL (beta) Bridging the gap between #Python and #SQL with type-checking, end-to-end optimization, and parallelization speed/efficiency across both languages. #BigData hubs.ly/Q01cl6cl0

Announcing BodoSQL (beta) Bridging the gap between #Python and #SQL with type-checking, end-to-end optimization, and parallelization speed/efficiency across both languages. #BigData hubs.ly/Q01cl6cl0