Launching an Inner Information Market with Atlan
The Energetic Metadata Pioneers collection options Atlan clients who’ve just lately accomplished an intensive analysis of the Energetic Metadata Administration market. Paying ahead what you’ve realized to the following knowledge chief is the true spirit of the Atlan neighborhood! So, they’re right here to share their hard-earned perspective on an evolving market, what makes up their trendy knowledge stack, progressive use instances for metadata, and extra.
On this installment of the collection, we meet Cristina Perez Martinez, Information Engineer and Architect, and Ezequiel Barbero, Market & Enterprise Intelligence Supervisor at Telefónica Tech, who share how a contemporary knowledge cataloging expertise and column-level lineage will help a broad imaginative and prescient for knowledge democratization.
This interview has been edited for brevity and readability.
May you inform us a bit about your self, your background, and what drew you to Information & Analytics?
Ezequiel Barbero:
I’ve bought a Masters in Large Information and have labored in Information & Analytics since 2002. I began at Telefónica in Argentina with the BI Information Crew engaged on ETLs primarily based in SQL. Then I labored in Information Engineering serving to with Information Science, working with the pinnacle of that workforce in Argentina.
In 2019, I got here to Spain to work with their Information Science workforce on Advertising Intelligence, and in 2021 I joined Telefónica Tech to begin the BI Crew.
Cristina Perez Martinez:
I began working at Telefónica in 2019 as a Python developer, and I moved to Telefónica Tech in 2021. My workforce has primarily been working as Information Engineers and Information Architects for the BI workforce.
Would you thoughts describing Telefónica, and the way your knowledge workforce helps the group?
Cristina:
Telefónica is split into fairly just a few completely different corporations, however as an entire, it’s a Telecommunications Enterprise. Right here, in Telefónica Tech, the digital enterprise unit, we’ve been centered on digital applied sciences corresponding to AI & BD, connectivity and IoT, Cybersecurity, Cloud, and Blockchain.
Our workforce is split into two, with a part of the workforce centered on structure and engineering, getting uncooked knowledge, then standardizing and reworking it till it goes into Snowflake, our Information Warehouse. The remainder of the workforce is concentrated on Information Evaluation, primarily based in Snowflake and coding in SQL. From there, they develop dashboards in PowerBI.
Ezequiel:
Telefónica Tech has a workforce engaged on IoT and Large Information for exterior use instances, however our workforce is liable for inside use instances, supporting the corporate. We help infrastructure, transformation, and for nearly a yr now, Information Governance.
What does your knowledge stack appear to be?
Ezequiel:
Our stack relies on Microsoft Azure, and we use Information Manufacturing facility for Orchestration. We use Databricks’ ETL instrument, blob storage, and knowledge lake. Snowflake is Telefónica’s knowledge warehouse.
Why seek for an Energetic Metadata Administration answer? What was lacking?
Ezequiel:
Our firm has over 6,200 folks, however our workforce is small relative to all the group. So if it’s necessary to enhance knowledge democratization, then that wouldn’t be attainable with out self-service, and with out Information Governance.
Why was Atlan match? Did something stand out throughout your analysis course of?
Ezequiel:
We had been first in search of a cloud-based SaaS answer that was simple to deploy and simple to arrange.
Cristina:
Our purpose was to have a spot the place we might create a catalog of information that was accessible sufficient to the remainder of the corporate. It was additionally necessary to grasp the lineage between Snowflake and PowerBI. Our main purpose was to grasp the influence that modifying a supply would have on our knowledge warehouse, so column-level lineage ensures end-to-end visibility and traceability. Moreover, we acknowledge the necessity for a sturdy instrument to strengthen safety of our knowledge platform, permitting us to assign roles and permissions to make sure that solely approved folks have entry to particular info, in addition to the power to carry out audits which is important to keep up the integrity and compliance of our knowledge operations.
What do you plan on creating with Atlan? Do you could have an thought of what use instances you’ll construct, and the worth you’ll drive?
Cristina:
One of many necessities we had is to create considerably of a market for our knowledge, with all the pieces primarily based on Atlan belongings, and we’re engaged on launching that at first of this yr. From there, we’re trying ahead to populating much more metadata in Atlan and Snowflake.
Sooner or later, we’re enthusiastic about the opportunity of utilizing Atlan AI. Our purpose is to make accessing knowledge even simpler for folks, and having the ability to chat with Atlan about knowledge would make it simple for folks to search out what they want.
Photograph by Mario Caruso on Unsplash
