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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.

SQL 154
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Lessons Learned: Sharding for startups

Startup Lessons Learned

This has two major drawbacks: the central directory can become a single point of failure, and there is a performance cost for having to consult the directory ever time you want to access data anywhere in the cluster. Nearly every SQL query I see has a join. The actual directory itself is straightforward. E, How is WoW sharded?

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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.). Notebooks and computation.

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Scaling lessons learned at Dropbox, part 1

eranki.tumblr.com

Another thing that became increasingly useful was to have thousands of custom stats aggregated over thousands of servers graphed. It might cost a little extra to force everything to be in one of your categories, but I think it’s worth it for the simplicity (you can also switch machines around more easily when you need to).

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Amazon Redshift Too Slow or Crashing? BlazingDB Performs

Austin Startup

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!

Peru 58
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A Quick Primer on B2B Conversion Optimization

ConversionXL

Sales teams cost money, and of course, they also deliver another layer of organizational complexity. But because of the human costs of a sales team, it makes sense to optimize for quality in B2B. So the process in B2B looks a bit like this (simplified): Visitor → MQL → SQL → customer. Longer Sales Cycles and Micro-Conversions.

B2B 48
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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. Ad cost attribution. An enterprise data warehouse for fast SQL queries. Customization. Custom dimension and metrics.