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Tuesday, December 24, 2024

Telefónica Tech: An Lively Metadata Pioneer


Launching an Inner Information Market with Atlan

The Lively Metadata Pioneers collection options Atlan clients who’ve not too long ago accomplished an intensive analysis of the Lively Metadata Administration market. Paying ahead what you’ve discovered to the following information 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 information stack, modern 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 information cataloging expertise and column-level lineage will help a broad imaginative and prescient for information 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 acquired a Masters in Huge Information and have labored in Information & Analytics since 2002. I began at Telefónica in Argentina with the BI Information Workforce engaged on ETLs primarily based in SQL. Then I labored in Information Engineering serving to with Information Science, working with the top of that staff in Argentina.

In 2019, I got here to Spain to work with their Information Science staff on Advertising Intelligence, and in 2021 I joined Telefónica Tech to start out the BI Workforce.

Cristina Perez Martinez:

I began working at Telefónica in 2019 as a Python developer, and I moved to Telefónica Tech in 2021. My staff has primarily been working as Information Engineers and Information Architects for the BI staff.

Would you thoughts describing Telefónica, and the way your information staff helps the group?

Cristina:

Telefónica is split into fairly just a few totally different corporations, however as a complete, it’s a Telecommunications Enterprise. Right here, in Telefónica Tech, the digital enterprise unit, we’ve been centered on digital applied sciences reminiscent of AI & BD, connectivity and IoT, Cybersecurity, Cloud, and Blockchain.

Our staff is split into two, with a part of the staff centered on structure and engineering, getting uncooked information, then standardizing and remodeling it till it goes into Snowflake, our Information Warehouse. The remainder of the staff 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 staff engaged on IoT and Huge Information for exterior use instances, however our staff is liable for inside use instances, supporting the corporate. We help infrastructure, transformation, and for nearly a yr now, Information Governance.

What does your information stack seem like?

Ezequiel:

Our stack relies on Microsoft Azure, and we use Information Manufacturing unit for Orchestration. We use Databricks’ ETL instrument, blob storage, and information lake. Snowflake is Telefónica’s information warehouse.

Why seek for an Lively Metadata Administration resolution? What was lacking?

Ezequiel:

Our firm has over 6,200 folks, however our staff is small relative to all the group. So if it’s vital to enhance information democratization, then that wouldn’t be doable with out self-service, and with out Information Governance.

Why was Atlan a very good match? Did something stand out throughout your analysis course of?

Ezequiel:

We have been first in search of a cloud-based SaaS resolution that was simple to deploy and straightforward to arrange.

Cristina:

Our objective 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 vital to know the lineage between Snowflake and PowerBI. Our major objective was to know the affect that modifying a supply would have on our information 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 information platform, permitting us to assign roles and permissions to make sure that solely approved folks have entry to particular info, in addition to the flexibility to carry out audits which is important to take care of the integrity and compliance of our information operations.

What do you plan on creating with Atlan? Do you might 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 information, with all the pieces primarily based on Atlan property, and we’re engaged on launching that at first of this yr. From there, we’re wanting ahead to populating much more metadata in Atlan and Snowflake.

Sooner or later, we’re enthusiastic about the potential for utilizing Atlan AI. Our objective is to make accessing information even simpler for folks, and with the ability to chat with Atlan about information would make it simple for folks to seek out what they want.

Photograph by Mario Caruso on Unsplash

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