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Fundrise CTO: New SQL Tools Lead to ‘Wonderfully Seamless Solutions’

The Startup Magazine

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.

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A Marketer’s Guide to Kaggle for Analytics and Data Science

ConversionXL

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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Amazon Redshift Too Slow or Crashing? BlazingDB Performs

Austin Startup

The Data Warehouse market is typically estimated at $30 B in annual revenue and the big data components, where the largest need for performance gains resides, is growing at double digit rates. According to 451 Research , “For vendors with less than $1 B in revenue, we estimate a CAGR of 39%.”

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Google Analytics vs. Google Analytics 360 (Based on a Decade of Implementations)

ConversionXL

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.

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Google BigQuery: A Tutorial for Marketers

ConversionXL

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. You can then say that userID X, who came on January 11 from Google Ads, brought us $500,000 in revenue. Another use case.

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Raw Data & Google Analytics: A Game Changer

ConversionXL

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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Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

11: Close to zero aggregated analysis exists, everything's segmented. #10: If the company has the revenues or size, it is important to hire for both roles to ensure the ROA will be positive. 11: Close to zero aggregated analysis exists, everything's segmented. All data in aggregate is crap. Total revenue.

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