Top Tweets for #tileDB
Another evening of tech in Southampton.
Thank you #pyDataSoton and CarnivalUK for hosting (+beer +pizza).
Topics, #tileDB, CUDA accelerated matrix multiplications (C++ in a Python meetup*) and the ONS python lib.
*isn’t everything C under the hood? Shout out to Kernighan and Ritchie
SPONSOR POST
For developers, built by developers. Stop by the @TileDB booth at #gopherconEU in Athens for live demos, tech conversations and some cool giveaways! Can't make it? Check out the TileDB-GO Github repo: https://t.co/srTLU3AI3x #golang #tiledb
SPONSOR POST
Mark your calendars! Greece's hottest startup @TileDB will be at #gopherconEU Athens! Stop by their booth to meet their experts & learn how GO is powering a disruptive data management platform in the industry. Learn more at: https://t.co/t52zGailew #golang #tiledb
Super excited to have Stavros Papadopoulos today from @tiledb in our #OSU seminar. Great progress in array databases and their interplay with #MLOps, #similaritysearch, #timeseries apps, etc. Many thanks for sponsoring our seminar as well!! #tiledb @OhioStateCSE @OSUengineering
Congratulations to our portfolio company @tiledb, which raised a Series B funding round of $34 million.
Read more below [in Greek]
#BigPi #BigPiVentures #TileDB
https://t.co/wQssq1POUw
Congratulations to our portfolio company, @tiledb and its CEO & founder Stavros Papadopoulos, for securing new investment. Read more below.
#BigPi #BigPiVentures #TileDB #News
https://t.co/qZt7YsIMLS
What’s the latest on MyTile, the #MariaDB storage engine for accessing #TileDB arrays? Here’s the recording of TileDB CTO @Shelnutt2 at @mariadb_org Server Fest, complete with benchmarks: https://t.co/U2EH9mFvTA.
My latest on Acceleration Economy, where you can now find all of my #cloud #database analysis. #singlestore #tileDB #accelerationeconomy https://t.co/KadoxAxrSB
The MyTile #MariaDB storage engine for #TileDB arrays provides a big boost over #InnoDB on large analytics workloads. Join TileDB CTO @Shelnutt2 at @mariadb_org ServerFest this week for a deeper look at query pushdown and range filtering! https://t.co/wfE0lqaL4n
Today we have 20 tutorials in four tracks and three languages.
45 teachers and teacher assistants will teach #rstats to 750+ people.
#Shiny #Package #RSpatial #Xaringan #TileDB
#MachineLearning #Responsible Programming #ggplot2 #Rmarkdown and more topics!
A full day #learningR
Hoy tenemos 20 tutoriales en cuatro tracks y tres lenguajes.
45 profesores y asistentes enseñarán #rstats a más de 750 personas.
#Shiny #Package #RSpatial #Xaringan #TileDB
#MachineLearning #Responsible Programming #ggplot2 #Rmarkdown y más!
Un día entero #learningR
@tiledb Have you thought about integration with @projectnessie . It may be very attractive to have unified API for reproducible experiments in future. And may work as 🧲 to migrate some data management storage to #TileDB
Could #TileDB be thought as complementary to #ApacheHudi to build #featureStore-s beyond relational / "data frame" data ?
#DataFabric
#MachineLearningEngineering
TileDB 2.0 is here! Dataframe storage via sparse arrays, support for Azure and GCS, and a fully revamped R API. Read about how TileDB is shaping data science with multi-dimensional arrays, a universal format for data science https://t.co/fYdCsbyt2W
"tiledbvcf #Python module ... designed to facilitate fast, effcient, and convenient analysis of genomic variant data by returning queries as #Pandas DataFrames via #ApacheArrow's zero-copy access methods"
multi-dimensional arrays #DataFabric
#TileDB #S3
https://t.co/JNHJPx6CNV
Congrats TileDB with $15M raise. While I'm not a big believer in Universal solutions, you have a change to convince me I'm wrong :) https://t.co/Jeuf1A3Sdi #tiledb #opensource
【ギークが選ぶ、最近のイケてるDB3選】
フロントに比べて緩やかなトレンドですが革新的なサービスもでてるんですね〜
Prismaの「可能な限りデータベースを抽象化しようとする」思想は共感ですね、技術はさっぱり分かりませんが...
#ITnews #TileDB #Materialize #Prisma
https://t.co/YJwiXis7Rs
#TileDB: Open Source Storage Engine for #DataScience
"By storing your data and metadata in TileDB arrays, you abstract all the data storage and management pains, while efficiently accessing the data with your favorite data science tool."
https://t.co/ogj0Byx32L
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