The Startup Magazine
JANUARY 31, 2024
Despite its decades-old roots, SQL is undergoing a renaissance, buoyed by SQL tool advancements in a variety of data-related tools. What Is SQL? SQL is a standardized programming language specifically designed for managing and interacting with relational databases, where information is stored in interrelated tables.
eranki.tumblr.com
JULY 13, 2012
Another thing that became increasingly useful was to have thousands of custom stats aggregated over thousands of servers graphed. We eventually ended up converting everything to SQLAlchemy’s lowest-level language for constructing SQL (one step away from raw SQL). Better than switching off features! App-specific metrics.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ConversionXL
MAY 13, 2020
After a few hours playing around with SQL , I was already able to deliver insights I never could have with aggregated Google Analytics reports. What’s the difference between raw and aggregated data in Google Analytics? Google Analytics, in the free version, provides only aggregated data. Where do my users come from?
ConversionXL
OCTOBER 21, 2019
Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. The solution is to give every lead and every purchase a userID (like an encrypted email), to pull CRM and Google Analytics data into your BigQuery data warehouse, and then—with a simple SQL query—join the two tables.
Version One Ventures
AUGUST 16, 2017
Let’s think about the typical (and simplified) data flow in a company: raw data is aggregated, normalized or processed and then stored in a data warehouse. The company provides Python/SQL training sessions and refreshers, with “homework” being related to the business.
ConversionXL
NOVEMBER 3, 2016
So the process in B2B looks a bit like this (simplified): Visitor → MQL → SQL → customer. There you want to look at things in clumps and aggregates. What this means depends on the company, but it can take into account different metrics like pathing, time on site, video engagement, company size, role, etc. Account-Based Marketing.
ConversionXL
JANUARY 8, 2020
Working with this dataset can be valuable in terms of understanding the underlying structure of Google Analytics data and experimenting with a number of advanced statistical and data mining techniques that can’t be applied when the data is in aggregate form (which is the norm with standard Google Analytics.). Let’s have a closer look.
Expert insights. Personalized for you.
117 
Let's personalize your content