Will we see you tonight? If you're in NYC, be sure to join us for an evening filled with thoughtful discussions, networking opportunities, and awesome food & drinks!
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Bigeye
@Bigeyedata
Automatic data quality monitoring for analytics and data engineering teams.
Bigeye’s Tweets
Thrilled to announce our expanded footprint across several sectors. Bigeye is delighted to renew our focus on healthcare and retail, while taking huge leaps to support the U.S. intelligence community with data observability.
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🎉 We’re excited to announce that data lineage is now available in Bigeye! As soon as you connect Bigeye to your data warehouse, we’ll begin automatically parsing your query history and creating your lineage graph.
Check it out: hubs.la/Q01rQ9480
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📣 We can't wait to meet everyone in NYC next week! Local data leaders will be tackling your toughest data questions & sharing best practices around building trust in data teams.
Plus, you'll enjoy tasty food, free drinks, and networking. 🍕🍻
Sign up 👉 hubs.la/Q01rxKq_0
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Is your company ready to implement data observability? How will you do it? Get started by asking yourself these 20 important questions that will help you orient yourself in the data observability universe: hubs.la/Q01rvHZB0
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& are organising an event on 'Building Trust in Data Teams' on Nov 10th. Join the discussion to learn about how data discovery & data observability can help you leverage data better.
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🎤 Today's the day! If you're at #ODSCWest, be sure to drop by our demo talk, "Data Observability for Data Science Teams."
#dataobservability #datascience #dataquality
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📣 We're thrilled to be here at #ODSCWest! If you're attending, be sure to swing by the Bigeye booth to meet the team and pick up some awesome swag.
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Just dropped: Episode 8 of "The Observatory." We sit down with Ethan Aaron, founder of Portable, to discuss the modern data stack, the data contract controversy, and two data trends you should definitely be leveraging right now. Check it out.
hubs.la/Q01r7LXc0
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In the "Data Practitioner Spotlight" series, we interview practitioners working directly in the field. In this instance, we had the chance to sit down with Laura Dawson, Head of Data Quality at . Want to learn about data taxonomies? Read on: hubs.la/Q01r3R0D0
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🎉 We can't wait to meet everyone at the Open Data Science Conference ()
next week in San Francisco!
If you'll be there, be sure to visit the Bigeye booth and drop by our live talk, "Data Observability for Data Science Teams," on Wednesday.
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Your one-stop shop for all things data observability. Learn what data observability is, who it’s for and who uses it, how it benefits organizations, use cases, best practices, and more: hubs.la/Q01qMPvk0
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Did you know your team already has a data engineering budget? We're not talking dollars and cents. But we are talking about the two budget rollout options you can pursue. Read "The onion, the carrot, and the 'alert budget" 🧅🥕💰
hubs.la/Q01qDW7L0
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Data isn't just a byproduct of production. Data IS the product, and should be treated as such. This is the argument that data contracts make. Want a brief introduction to data contracts? Look no further: hubs.la/Q01qnS2H0
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In just a few weeks, we'll be hosting local data experts for a jam-packed evening of:
🎤 Firsthand insights from local data leaders
🤝 Exclusive networking opportunities
🌮 Tasty food
🍻 & seasonal drinks
If you'll be in NYC on 11/10, join us 👉
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🖥 Want to get a firsthand look at the Bigeye data observability platform? Now's your chance!
Join us in 1 hour for a platform overview and an interactive Q&A session with our very own, Zach Behrman.
Register now 👉 hubs.la/Q01q9Zlw0
Data scientists often spend the majority of their time cleaning up data messes they didn’t create. Getting away from these laborious tasks can be difficult, but there are ways data experts can take back control.
Check out these 5 tips to get started ➡️
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🎉 Day one of #dbtCoalesce is now underway!
Tune in for our session, "Move Fast and (Don’t) Break Things: Testing dbt Models with Bigeye,at 12:00pm CDT 👉 hubs.la/Q01pPR9W0
🖥 Can't attend in-person? Register for free and join us virtually.
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There's been a complete evolution of the typical #datastack, with an explosion of new tools and solutions that help data teams scale. Figuring out where to start can be daunting, but there are a few simple ways to kick-start this journey.
🖥 Learn more:
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🎉 #dbtCoalesce is just a few days away!
Be sure to register and tune into our session, "Move Fast and (Don’t) Break Things: Testing dbt Models with Bigeye," with our CTO, Egor Gryaznov.
Register today 👉 hubs.la/Q01pJY1P0
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Does your data team hate NoSQL? There is another way...But you need to get your engineering teams onboard. Here, our CTO Egor Gryaznov takes a look at the SQL versus NoSQL showdown, and what it means for data teams:
hubs.la/Q01pBzBz0
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#Bigconfig provides the scalability, repeatability, and governance enterprise data teams need - and if you're already a Bigeye user, getting started is easy.
👉 Follow these simple steps to kick-start the process today: hubs.la/Q01pzlhy0
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📣 We're excited to bring the data community together for a night of great drinks, tasty food, networking & a live discussion with local data leaders from Bigeye, Castor, JW Player, and Portable.
➡️ Sign up for free:
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The Bigeye #DataObservability platform gives data teams a unified view of data pipeline health. And next week, you'll get to see it firsthand.
🖥 Join us on Oct.19 to see the platform in action, partake in a live Q&A session, and more: hubs.la/Q01pn_QW0
#webinar #data
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"Oh, damn!" you suddenly shout. You're looking at your data pipeline, and something has gone wrong. VERY wrong.
We've all been there. Check out 6 "Oh, damn!" moments from data engineers at companies you know and love: hubs.la/Q01pdg-Y0!
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We’re back for the final day of Big Data & AI Toronto!
🍬 Swing by the Bigeye booth to chat with the team and grab a treat for the day.
#BDAI #bdait22 #Toronto #dataobservability
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Join us this week to learn how Bigeye allows data teams to inject automated data quality checks directly into their workflows with declarative, version-controlled data monitoring as code.
hubs.la/Q01nQKZS0
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📺 Hear from Andrew Jones, tech lead at GoCardless, about inventing “data contracts” and building out the data pillar of a FinTech unicorn in the latest episode of #TheObservatory.
Listen now:
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We're excited to head to Toronto next week to sponsor Big Data & AI! If you're going to be there, be sure to swing by the Bigeye booth to meet the team.
Contact us at events@bigeye.com to learn more.
#BDAI #BDAIT #Toronto #conference #data #bigdata #dataobservability
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Join us in 1 hour to get the inside scoop on the data stack evolution and what this means for your data team!
Register now ➡️ hubs.la/Q01nzDfJ0
P.S. Can't make the live session? Register and we'll send you the replay.
#webinar #data #moderndatastack #dataobservability
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A founder story for the ages: from Uber to Bigeye & all the lessons in between. Hear our CTO & co-founder Egor Gryaznov on the Infinite #ML podcast with on building a company, measuring data quality, and why it's time for #DataObservability:
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We're excited to announce the availability of #Bigconfig, a powerful new way to add version-controlled data monitoring as code to your workflows.
Get all the details: hubs.la/Q01nkx1N0
#dataobservability #datamonitoring #dataquality
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#DataObservability is a relatively new field. That's why we broke down some key terms and phrases for you.
📗 Check out our data observability dictionary: hubs.la/Q01n3j8k0
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The "modern data stack" promises agility, scale, and modularity for data teams. But what is the current reality of the data specialist? With so many options, is there a right way to “do” data?
Join us next week to learn more: hubs.la/Q01mZ_Vt0
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What is Data Reliability Engineering (DRE) and how does it fit into the modern data stack?
Join our CTO, Egor Gryaznov, this Wednesday for a virtual meetup to learn more: hubs.la/Q01mFF6n0
#datareliabilityengineering #dataobservability #dataengineering #data #meetup
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We all face software identity crises sometimes. Build it in-house? Or buy it, set it, and forget it?
With data observability, we broke down the considerations for building versus buying. Read our assessment: hubs.la/Q01mC8Ql0
#blog #dataobservability
Is the modern data stack extremely rock and roll? Or do you prefer to rely on traditional, time-tested methods? Join our latest #webinar to explore the traditional v. modern data stack debate: hubs.la/Q01mqQgg0
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Around here we like to say, "Move fast and (don't) break things." That's why we're proud to be speaking about it at this year's Coalesce, which we're also sponsoring! Come hear our CTO Egor Gryaznov, details here: hubs.la/Q01mjC-90
#dbtCoalesce #dbtcommunity
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When you're looking for anomalies in data, is it better to look forward, or is hindsight 20-20? We think you need both, and here's why: hubs.la/Q01md9gx0
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If you're using , what are some ways you can level up your dbt testing? And what are some signs it's time to layer in data observability? Read on: hubs.la/Q01m5dK70
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