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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 121
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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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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. As it turned out , the enhanced algorithms “did not seem to justify the engineering effort needed to bring them into a production environment.”. It took two years, but a team finally won. We do all the heavy lifting.

Analytics 131
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Scaling lessons learned at Dropbox, part 1

eranki.tumblr.com

any real-world engineering project ;-). 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).

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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 BigQuery: A Tutorial for Marketers

ConversionXL

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. BI engines.

SQL 84
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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?