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.
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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.
Austin Startup
MARCH 15, 2017
Massive Scale with Unprecedented Speed BlazingDB offers a massively distributed, “cloud first”, high performance SQL database that achieves performance gains on the largest workloads and datasets at extraordinarily competitive costs. Transformations, aggregations and joins at massive scale is where BlazingDB wins!
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
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. An enterprise data warehouse for fast SQL queries. The root of this problem is hidden in the logic of both tools.
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?
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