Periscope Data Blog

periscopedata.com · Company blog · on HN since 2015

Periscope Data's company blog covers SQL analytics, data warehouse comparisons, and engineering lessons such as moving from Heroku to Kubernetes.

What HN saysHN links it mostly through the company's job postings in hiring threads, plus occasional engineering posts on data bugs.
31HN people shared it
15linked it in comments
24stories submitted
200story points
7 years agolast shared
2015people per year2026

Most-shared posts

  1. 1
    Homepage
    9 people · first shared 2015
  2. 2
    Full stack engineer
    4 people · first shared 2016
  3. 3
  4. 4
  5. 5
    Periscope Data Merges with Sisense
    2 people · 2 points · first shared 2019 · discussion on HN
  6. 6
  7. 7
    HyperLogLog in Pure SQL
    2 people · 1 points · first shared 2015 · discussion on HN
  8. 8
    Senior product manager
    2 people · first shared 2016
  9. 9
    Data obsessed engineer
    2 people · first shared 2015
  10. 10
    Outlier Detection in SQL
    1 people · 75 points · first shared 2016 · 34 comments on HN
  11. 11
    Examining crime reports in San Francisco with SQL
    1 people · 61 points · first shared 2016 · 15 comments on HN
  12. 12
    Building the Periscope Data Cache with Amazon Redshift
    1 people · 9 points · first shared 2015 · 1 comments on HN
  13. 13
    String Parsing in SQL
    1 people · 3 points · first shared 2016 · discussion on HN
  14. 14
    Binomial Options Pricing in SQL
    1 people · 3 points · first shared 2016 · discussion on HN
  15. 15
    One Dimensional Clustering in Postgres
    1 people · 2 points · first shared 2015 · discussion on HN

What HN people wrote when they linked it

GoPeriscopeData · 2017-03-02
Periscope Data | San Francisco, ONSITE | https://www.periscopedata.com/ Full Stack Engineer - Any Level (Ruby, Go, CoffeeScript): https://www.periscopedata.com/full-stack-engineer Senior Periscope is the fastest, most powerful data analysis suite on the market. It's the platform of choice for professional analysts, who spend 5+ hours a day using the product. We're growing revenue about 10X per year, while growing the team about 4X per year. If you have a proven track record of delivering results and shipping great products, we would love to meet you! Join our team of 85: Email [email protected]
melaniet · 2017-02-01
Periscope Data | San Francisco, ONSITE | https://www.periscopedata.com/ * Senior Full Stack Engineer (Ruby, Go, CoffeeScript): http://bit.ly/2iBwa6l Periscope is the fastest, most powerful data analysis suite on the market. It's the platform of choice for professional analysts, who spend 5+ hours a day using the product. We're growing revenue about 10X per year, while growing the team about 4X per year. If you have a proven track record of delivering results and shipping great products, we would love to meet you! Join our team of 76: Email [email protected]
btown · 2016-10-25
As soon as you begin accepting user data, all your code bugs, even those as simple as forgetting to collect some metadata you might need later, are data bugs. And to the specific point about serializing logic being considered harmful, I'm sure https://www.periscopedata.com/ would beg to differ! Seriously, though, there's nothing wrong with using this for a presentation layer. Define a group of user-selectable client-side filters in a JSON constants document, which will have a much smaller "error surface" than defining custom filter functions. Just because it looks like JSON doesn't mean it necessarily needs to be serialized. That said, there are a number of inefficiencies in the implementation. Certainly not production ready, but a great effort.
mopatches · 2016-08-01
Periscope Data | San Francisco, ONSITE | https://www.periscopedata.com/ Full Stack Engineer (Ruby, Go, CoffeeScript): https://www.periscopedata.com/full-stack-engineer Senior Product Manager: https://www.periscopedata.com/senior-product-manager Periscope is the fastest, most powerful data analysis suite on the market. It's the platform of choice for professional analysts, who spend 5+ hours a day using the product. We're growing revenue about 10X per year, while growing the team about 4X per year. If you have a proven track record of delivering results and shipping great products, we would love to meet you! Join our team of 45: [email protected]
AustinBGibbons · 2016-05-02
Periscope Data | San Francisco | Full-Time | ONSITE | https://www.periscopedata.com/ Full Stack Engineer (Ruby, Golang, CoffeeScript, Java, Python) Periscope is a data analysis tool for data analysts that allows them to type SQL queries and get charts really, really fast. Revenue has doubled twice in the last 6 months. We have gone from jumpstarting our car to hanging on as the car races up the hill. - In your first day you'll ship new code to production. - In your first week you'll ship at least one customer-facing feature. - In your first month you'll write code at every level of the stack. - In your first 6 months you'll rebuild a major piece of the Periscope stack. More info: https://www.periscopedata.com/full-stack-engineer ------------------------ Marketing Coordinator We’re looking for our second hire in marketing to help us scale lead generation 10x over the next year. Marketing at Periscope is very data-driven and you’ll help us prioritize metrics, run analyses, and creatively source and combine data sets for insights. Our popular SQL blog brings in a lot of business and our hundreds of customers love our product. More info: https://www.periscopedata.com/marketing-coordinator Join our team! [email protected]
gamache · 2017-01-17
I love the Periscope Data blog. https://www.periscopedata.com/blog/
jonbishop · 2016-03-31
Hey! I run marketing for Periscope Data, a data explorer/dashboard product. We have a lot of customers using postgres and get compared to Looker a lot. We focus on optimizing for the analyst whereas tools like Looker focus on business users. We have a lot of features for business users, but chart creation is all SQL based. Our site is here: https://www.periscopedata.com/ and if you have any questions, shoot me an email at [email protected].
everhardt · 2015-12-14
Looks good! Could it be a free alternative for tools like Periscope (https://www.periscopedata.com/)?
hglaser · 2015-10-21
(Full disclosure, co-founder of Periscope Data here.) Periscope Data supports cross-DB joins. We cache the data in our own clusters so queries run really fast, and also so you can do things like join across databases and upload CSVs. More info: http://www.periscopedata.com. I'm harry at periscopedata.com
danidiaz · 2018-11-18
LATERAL joins can help with reusing calculations https://www.periscopedata.com/blog/reuse-calculations-in-the-same-quer…
ing33k · 2017-01-17
Others have posted some really good resources. I paticularly like Periscope Data's blog ( ex : https://www.periscopedata.com/blog/effective-revenue-chart.html ) , they have covered a wide range of topics. Get a public dataset and start querying for unique insights. I would also encourage you to learn a bit of Relational Algera if you really want to improve your mental model.
ris · 2016-05-10
"We are migrating our analytics db from Mongo to PG but we hit a wall because SELECT COUNT(DISTINCT x)) performs abysmally in Postgres." https://github.com/aggregateknowledge/postgresql-hll ? or even https://www.periscopedata.com/blog/hyperloglog-in-pure-sql.html ?
rickbergfalk · 2015-12-14
Hi Hacker News! So this is where the extra activity is from :) honored to be posted. SqlPad was something I built to scratch my own itch and was sort of a self-challenge. I haven't done much with it lately, but a few users have contributed some additions back and have been helping with the project. Just a heads up if you explore the code - I'm not a Node.js developer by trade and this is sort of a hobby for me as a SQL Server developer/DBA. I'm flattered by the comments here. Really inspiring to get back to work on this. Also wanted to add - If SqlPad isn't quite what you're looking for but want to visualize SQL results check out these other projects and solutions: Metabase (http://www.metabase.com/) Redash (https://github.com/getredash/redash) Wagon (https://www.wagonhq.com/) Periscope Data (https://www.periscopedata.com/) Mode Analytics (https://modeanalytics.com/)

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