We're excited to launch @thecubejs beta today! Cube.js is an analytics layer for modern applications. It supplies building blocks that let developers build custom and large-scale analytics features directly into their applications. https://t.co/QvnFzkWTys #serverless#analytics
We've posted a first tutorial on how to build apps with Cube.js - Building a Serverless Stripe Analytics Dashboard https://t.co/0Lsdt8Q5Pt #serverless#stripe#data#reactjs
When data that you get from our production system is not suitable for building business metrics, you're facing a “garbage in, garbage out”. In this post, we’ll talk about how to build the relationships between big data #analysts and software #engineers.
https://t.co/66mMfqFLis
Yes, got it! We just started with Actions and will add new options to this feature soon. Automations can be one of them 👍 For now, we have only automated notifications for events in a database, via Slack and email. https://t.co/ZOUE12X22D
Thanks Axel! Not exactly, you can create Asana tasks manually on a specific report, but you can set up a notification on events in your database (like when smth is out of stock). In this case you get a notification with a report which you can act on further. https://t.co/7ApdZTZbng
At Statsbot, we believe that analytics is for taking action. That’s why we’re releasing the Actions feature to let you take immediate action on your data. ⚡️
https://t.co/jr8LYcQndA
Now you can create @asana tasks with a report attached while not even leaving Statsbot!
We reviewed the latest industry research and created the dashboard with the most in-demand tech roles and industries for 2018.
https://t.co/HglUOIWrzZ
#Analytics#Dashboard#TechTrends
We described how to filter data using the WHERE clause, with the examples based on the FIFA player 2018 dataset ⚽️
https://t.co/2EMwv2LYmv
#SQL#FifaWorldCup2018#Analytics
Proper data capturing and modeling, combining metrics and ad-hocs, and building a self-service environment are the key points in balancing the load on a data team and using their resources most productively.
https://t.co/WFvnfQc9iY
#DataAnalytics#BusinessIntelligence
Many of our customers ask us which data warehousing option is cheaper: @googlecloud#BigQuery or @redshift3d? In this blog post, we’re going to break down BigQuery vs Redshift pricing structures and see how they work in detail.
https://t.co/svD2IGFAsP
To achieve meaningful results, a company needs to adopt this comprehensive metric definition process that consists of multiple, equally important steps:
https://t.co/blOV8sDRFo
#Analytics#metrics
Join the webinar about managing #BigQuery perfomance and costs!
You'll learn:
• How BigQuery costs are calculated.
• Why costs aren't always aligned with query performance.
• Best practices for reducing query costs using multi-stage querying.
• etc.
https://t.co/C964MijMqP
The pricing strategy of BigQuery is quite unique. To help you figure out all the details, we're hosting the webinar about managing BigQuery perfomance and costs. Register right away and make sure not to miss it out!
https://t.co/C964MijMqP
#bigquery#webinar#SQL
Learn how to estimate LTV, both for groups and for individuals, for SaaS and e-commerce, with our free ebook.
https://t.co/AtnQa9lv23
#LTV#Analytics#ebook
@DammianMiller Hi Dammian, we just published a new article on how to speed up PostgreSQL performance 100x. It's worth to look at: https://t.co/9jkRkoI2M7