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How to get started with dbt

Christophe Blefari

In terms of paradigms before 2012 we were doing ETL because storage was expensive, so it became a requirement to transform data before the data storage—mainly a data warehouse, to have the most optimised data for querying. There are multiple technological reasons for this, but technology is rarely the real reason.

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Snowflake’s Fully Managed Service: Beyond Serverless

Snowflake

Snowflake has embraced serverless since our founding in 2012, with customers providing their code to load, manage and query data and us taking care of the rest. Lastly, companies have historically collaborated using inefficient and legacy technologies requiring file retrieval from FTP servers, API scraping and complex data pipelines.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. The Explosion in Telco Big Data: 2012-2017. Let’s examine how we got here.

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InferESG: Augmenting ESG Analysis with Generative AI by David Rees

Scott Logic

A study by Nordea Equity Research reports that between 2012 and 2015, organisations with high ESG ratings outperform the lowest rated organisations by as much as 40%. By combining human expertise with advanced AI capabilities, were demonstrating how technology can enhance rather than replace human judgement in complex analytical tasks.

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Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

Decisions that come from ignorance are poor ones, such as “everyone else does it, so we should as well,” or “what we have works and I’m afraid of trying this new technology.” Even if you run on-prem, ensure you use technology you can shift to the cloud relatively easily.

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Lyft Expands Team to Czechia

Lyft Engineering

Lyft was founded in 2012 and went public in 2019, with the mission to improve people’s lives with the world’s best transportation. Czechia is a world-class engineering hub — by expanding into Prague, we’re tapping into a thriving technology sector and investing in world-class engineering talent.

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Data News — Week 23.10

Christophe Blefari

The MAD landscape The Machine learning, Artificial intelligence & Data (MAD) Landscape is a company index that has been initiated in 2012 by Matt Turck a Managing Director at First Mark. Evolution between 2012 and 2023. We jumped from 142 logos to 1414, the world changed but Pig remains.

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