Launching an Inner Information Market with Atlan
The Lively Metadata Pioneers sequence options Atlan prospects who’ve just lately accomplished a radical analysis of the Lively Metadata Administration market. Paying ahead what you’ve discovered to the subsequent 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 fashionable knowledge stack, revolutionary use circumstances for metadata, and extra.
On this installment of the sequence, 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 assist a broad imaginative and prescient for knowledge democratization.
This interview has been edited for brevity and readability.
Might 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 Group engaged on ETLs primarily based in SQL. Then I labored in Information Engineering serving to with Information Science, working with the top of that crew in Argentina.
In 2019, I got here to Spain to work with their Information Science crew on Advertising and marketing Intelligence, and in 2021 I joined Telefónica Tech to start out the BI Group.
Cristina Perez Martinez:
I began working at Telefónica in 2019 as a Python developer, and I moved to Telefónica Tech in 2021. My crew has primarily been working as Information Engineers and Information Architects for the BI crew.
Would you thoughts describing Telefónica, and the way your knowledge crew helps the group?
Cristina:
Telefónica is split into fairly a number of completely different firms, 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 resembling AI & BD, connectivity and IoT, Cybersecurity, Cloud, and Blockchain.
Our crew is split into two, with a part of the crew centered on structure and engineering, getting uncooked knowledge, then standardizing and remodeling it till it goes into Snowflake, our Information Warehouse. The remainder of the crew 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 crew engaged on IoT and Large Information for exterior use circumstances, however our crew is answerable for inner use circumstances, supporting the corporate. We assist 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 unit for Orchestration. We use Databricks’ ETL software, blob storage, and knowledge lake. Snowflake is Telefónica’s knowledge warehouse.
Why seek for an Lively Metadata Administration answer? What was lacking?
Ezequiel:
Our firm has over 6,200 individuals, however our crew is small relative to the whole group. So if it’s necessary to enhance knowledge democratization, then that wouldn’t be potential with out self-service, and with out Information Governance.
Why was Atlan an excellent match? Did something stand out throughout your analysis course of?
Ezequiel:
We had been first on the lookout for a cloud-based SaaS answer that was straightforward to deploy and simple 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 necessary to grasp the lineage between Snowflake and PowerBI. Our main objective 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 strong software to strengthen safety of our knowledge platform, permitting us to assign roles and permissions to make sure that solely licensed individuals have entry to particular info, in addition to the power to carry out audits which is crucial to keep up the integrity and compliance of our knowledge operations.
What do you plan on creating with Atlan? Do you have got an concept of what use circumstances 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 the whole lot primarily based on Atlan property, 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 potential for utilizing Atlan AI. Our objective is to make accessing knowledge even simpler for individuals, and with the ability to chat with Atlan about knowledge would make it straightforward for individuals to search out what they want.
Photograph by Mario Caruso on Unsplash
