Analysis

2018-01-23-bridge-the-gap-python-sql-overlap
Analysis

January 23, 2018 5 minute read

Python and SQL Intersection in Analytics

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David Wallace

Data Science Evangelist

A look at recent trends in the data science and analytics landscape shows it’s becoming increasingly advantageous to have a deep understanding of both SQL and Python.

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2018-01-11-scaling-events-table-with-redshift-spectrum-image
Analysis

January 11, 2018 5 minute read

Scaling Event Tables with Redshift Spectrum

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David Wallace

Data Science Evangelist

We here at Mode Analytics have been Amazon Redshift users for about 4 years. Redshift enables and optimizes complex analytical SQL queries, all while being linearly scalable and fully-managed within our existing AWS ecosystem. In our early searches for a data warehouse, these factors made choosing Redshift a no-brainer. Redshift has mostly satisfied the majority of our analytical needs for the past few years, but recently, we began to notice a looming issue. Certain data sources being stored in our Redshift cluster were growing at an unsustainable rate, and we were consistently running out of storage resources.

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2018-01-09-python-updates-january-2018-image
Analysis

January 9, 2018 2 minute read

35 New and Improved Python Libraries in Mode

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Marissa Gemma

Writer

Just in time to make good on New Year's resolutions, today we're releasing a major upgrade to Mode's Python Notebooks: support for over 20 new Python libraries. We're also updating our existing libraries, from NumPy to pandas to matplotlib (and more). All together, this adds up to 35 new and improved Python libraries. Enough to make a wintry day brighter.

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2018-01-04-early-stage-analytics-decide-move-forward-headline-image
Analysis

January 4, 2018 3 minute read

In Early-Stage Analytics, Decide and Move Forward

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David Wallace

Data Science Evangelist

In this day and age, every company needs an analytical decision-making culture. Every company needs to be data-driven. And not someday. Every company needs to make analytical decisions every day, starting from day one.

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2017-12-14-3D-Cust-Success-Cube-OG
Analysis

December 14, 2017 5 minute read

Analyzing Customer Success Performance With 3D Visualization

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Joel Carron

Analyst at Mode

Customer success teams are a central pillar of recurring-revenue businesses. Great customer success teams help users get the highest possible value out of a product or service, leading to more valuable accounts and happy, long-term customers. Tracking a customer success team's ability to deliver on these goals can help identify opportunities for improvement.

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molecule-embed@2x
Analysis

December 12, 2017 1 minute read

Molecule's Embedded Analytics & Updates to White-Label Embeds

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Angeline Char

Product Marketing

Last year, we launched White-Label Embeds to provide a secure and seamless way to serve data to customers as a part of any application. Our customers have been seeing tremendous success in building out custom reports and delivering them to their customers in record time.

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