Statsbot is a data platform that serves every department and every person’s data needs.
Joined December 2015
- Tweets 521
- Following 438
- Followers 793
- Likes 826
46 Photos and videos
Pinned Tweet
2 Nov 2018
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. github.com/statsbotco/cubejs… #serverless #analytics
2
7
Statsbot retweeted
8 Nov 2018
We've posted a first tutorial on how to build apps with Cube.js - Building a Serverless Stripe Analytics Dashboard statsbot.co/blog/building-se… #serverless #stripe #data #reactjs
7
10
2 Aug 2018
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.
bit.ly/2vdc0Vj
1
26 Jul 2018
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. x.com/alpennec/status/102251…
26 Jul 2018
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. x.com/alpennec/status/102251…
26 Jul 2018
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. ⚡️
statsbot.co/actions
Now you can create @asana tasks with a report attached while not even leaving Statsbot!
19 Jul 2018
We reviewed the latest industry research and created the dashboard with the most in-demand tech roles and industries for 2018.
bit.ly/2NrerdE
#Analytics #Dashboard #TechTrends
1
Statsbot retweeted
11 Jul 2018
1
12
15
12 Jul 2018
We described how to filter data using the WHERE clause, with the examples based on the FIFA player 2018 dataset ⚽️
bit.ly/2JgsY9A
#SQL #FifaWorldCup2018 #Analytics
1
21 Jun 2018
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.
bit.ly/2K6zktr
#DataAnalytics #BusinessIntelligence
14 Jun 2018
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.
bit.ly/2JQuSSC
1
1
8 Jun 2018
To achieve meaningful results, a company needs to adopt this comprehensive metric definition process that consists of multiple, equally important steps:
bit.ly/2kXJgdN
#Analytics #metrics
4 Jun 2018
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.
buff.ly/2J00gOT
1
1
31 May 2018
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!
buff.ly/2J00gOT
#bigquery #webinar #SQL
28 May 2018
Learn how to estimate LTV, both for groups and for individuals, for SaaS and e-commerce, with our free ebook.
bit.ly/2sisU2H
#LTV #Analytics #ebook
Statsbot retweeted
17 May 2018
Writing fast @postgresql queries can feel like an art, but understanding how to use tools like EXPLAIN and indexing features can help!
@paveltiunov87 wrote up a case-study on using the above to optimize a query in a 10TB database: statsbot.co/blog/postgresql-…
2
39
76
17 May 2018
A single query optimization tip can boost your database performance by 100x. In this post, we share five simple but still powerful tips for #PostgreSQL query optimization.
bit.ly/2rNnSLl
3 May 2018
How to track the correlation between #Facebook ads analytics and business metrics from different data sources:
bit.ly/2FFe5vt
#Analytics
26 Apr 2018
There are 2 mainstream open source ETL projects: Apache NiFi and Streamsets. It seems an easy task to choose one product out of the two. In no way is it easy. We shared the experience with comparing Apache NiFi vs Streamsets:
bit.ly/2FjxvpB
#etl #bigdata
2
3
19 Apr 2018
Essential factors to consider when choosing a modern data warehouse:
bit.ly/2EZpYwb
#dwh #redshift #biguery #snowflake
2
3