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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ConversionXL
OCTOBER 4, 2018
which marketing campaigns, channels, touches, behaviors, and demographics are contributing to a business outcome, a form of “machine learning–based attribution.”. The other half have a mix of data sources, which inevitably include an offshore SQL database (or ten) managed by an external vendor whom no one can track down.
ConversionXL
FEBRUARY 18, 2020
For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns. English-only audience, those who saw your last ad campaign, etc.). An enterprise data warehouse for fast SQL queries.
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. Imagine you want to know how much revenue your campaigns generated… …and you sell houses. Once the project is created and you’re in BigQuery, you’ll need to know some SQL to start playing with your BigQuery data.
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. In addition, there may be multiple personas you need to address with different campaigns and pages. Account-Based Marketing. What do they have in common? Employees and managers.
Expert insights. Personalized for you.
122 
Let's personalize your content