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Our product vision for analytics in the age of AI

ThoughtSpot

We knew then that this would be the beginning of a new era of analytics, for ThoughtSpot and the broader industry, but none of us could have predicted the rapid evolution of analytics and BI in the months that followed. Since GPT’s release, LLMs have made it easier to translate natural language into SQL and other forms of code.

BI 89
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Data News — December 2023

Christophe Blefari

Before moving on to the Data News, a bit of personal news, in December, I took part in the MotherDuck meetup in Berlin. I presented what I believe to be the future from my DuckDB experiments. End of January, on the 31st I'll speak at a Modern Data Stack conf in Paris, still about DuckDB, but this time in French.

Data 100
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Data Engineering Weekly #105

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.

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Data Engineering Glossary

Silectis

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

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Best Business Analytics Books For 2022

U-Next

Business analytics skills are in-demand, and MBA pass-outs want to acquire them at the earliest. Keeping such needs in mind, the author has presented some of the best business analytics books for you to go from beginner to pro! Even business analytics experts have a library of books to expand their horizons. Introduction.

BI 40
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Building a Kimball dimensional model with dbt

dbt Developer Hub

Dimensional modeling is one of many data modeling techniques that are used by data practitioners to organize and present data for analytics. Other data modeling techniques include Data Vault (DV), Third Normal Form (3NF), and One Big Table (OBT) to name a few.

Building 145
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Towards a Data Mesh (part 1) : Data Domains and Teams Topologies.

François Nguyen

I discovered Zhamak Dehghani’s first article about Data Mesh in August 2020. Just to know, I never have had in mind that “this is what we should implement” But I recognise I fully agree with the analysis and the principles proposed to fix the problem. It is always a work in progress too. In fact, it is a problem too.