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I'm thrilled to be greatly expanding our partnership with @Twitter on their Data and Machine Learning applications! @paraga @nicktornow @derekalyon
We can’t 'like' this enough. We’re partnering with @Twitter to move its offline analytics, data processing, and #ML workloads to Google Cloud. Learn more, via @TechCrunch ↓ techcrunch.com/2021/02/04/twi…
We’re excited to be expanding our strategic partnership with @googlecloud This will enable more teams at Twitter to gain richer insights, faster, about how people use our service so we can improve the product & recommend more relevant content. prnewswire.com/news-releases/…
Super excited to welcome the @InteranaCorp team to Twitter!
Thrilled to welcome @InteranaBobby and the rest of @InteranaCorp team to Twitter! We are excited to bring their expertise to help us better understand how people use Twitter so we can deliver better products and features, faster.
@JeffDean @GCPcloud R.I.P. MapReduce. After having served us well since 2003, today we removed the remaining internal codebase for good. Of course, external users of MR on GCP will continue to be supported with our fully upstream compatible managed Hadoop platform, Dataproc.
If you run #Hadoop in Google Cloud, you'll want to upgrade to the new GCS Connector 2.0. This blog covers the improvements we added, in collaboration with @TwitterEng cloud.google.com/blog/products/…
Love this thread. During my time at Amazon, many years later, this work was still seen as one of the most impactful things the whole of Amazon enginnering had ever done and a key reason for the company’s early success.
If you're wondering what "P-four-nines" means, it's the latency at the 99.99th percentile, meaning only one in 10,000 requests has a worse latency. Why do we measure latency in percentiles? A thread about how how it came to be at Amazon... twitter.com/timbray/status…
Enjoyed speaking about Partly Cloudy with @lohitvijayarenu at the @DataWorksSummit in Washington DC. Packed room and lots of questions at the end. Had fun catching up with our east coast coworker @sadineni
From our team. If you’d like to workon this kind of thing, data platform is hiring both software engineers and SREs.
If you're wondering what "P-four-nines" means, it's the latency at the 99.99th percentile, meaning only one in 10,000 requests has a worse latency. Why do we measure latency in percentiles? A thread about how how it came to be at Amazon... twitter.com/timbray/status…
Highlight of the day: when @uhoelzle called @twitter the cool kids 😎 #GoogleNext19 cc:@derekalyon
Partly Cloudy: The Start of a Journey into the Cloud. Intro to blog post series about our cloud work. @TwitterEng blog.twitter.com/engineering/en…
Join @lohitvijayarenu @vrushalivc and I at our #GoogleNext19 panel moderated by @blueplastic April 9 15:40h in San Francisco → cloud.withgoogle.com/next/sf/sessio… Ask us questions ahead of time, during, or after the panel on Twitter with #GoogleNext19Twitter
New blog post is out! On validating data transfers between HDFS and Cloud Storage. A great example of collaboration between @gcpcloud and @twitterhadoop adding a key feature to an open-source project - in this case, Hadoop. cloud.google.com/blog/products/…
🐦 @derekalyon Director of Engineering at @Twitter discusses why they chose #GoogleCloud over other cloud providers during the #GoogleNext18 Keynote.
Twitter is migrating 300 petabytes of data to @GCPcloud Twitter's CTO @paraga shares the migration experience & his team's work. More on how to get the most out of your databases for your business → goo.gl/srhkor
How @TwitterHadoop Chose Google Cloud (Cloud Next '18) youtu.be/4FLFcWgZdo4 via @YouTube with myself and @derekalyon #GoogleNext2018
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