Launching an Inside Information Market with Atlan
The Lively Metadata Pioneers sequence options Atlan clients who’ve not too long ago accomplished an intensive analysis of the Lively Metadata Administration market. Paying ahead what you’ve realized to the subsequent knowledge chief is the true spirit of the Atlan group! So, they’re right here to share their hard-earned perspective on an evolving market, what makes up their fashionable knowledge stack, progressive use instances 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 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 obtained 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 based mostly in SQL. Then I labored in Information Engineering serving to with Information Science, working with the pinnacle 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 knowledge staff helps the group?
Cristina:
Telefónica is split into fairly a couple of totally 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 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 knowledge, then standardizing and remodeling it till it goes into Snowflake, our Information Warehouse. The remainder of the staff is concentrated on Information Evaluation, based mostly 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 answerable for inside use instances, supporting the corporate. We help infrastructure, transformation, and for nearly a yr now, Information Governance.
What does your knowledge stack seem like?
Ezequiel:
Our stack is predicated 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 folks, however our staff is small relative to your complete group. So if it’s vital to enhance knowledge democratization, then that wouldn’t be potential with out self-service, and with out Information Governance.
Why was Atlan a great match? Did something stand out throughout your analysis course of?
Ezequiel:
We have been first in search of a cloud-based SaaS answer that was straightforward to deploy and straightforward to arrange.
Cristina:
Our objective was to have a spot the place we may create a catalog of knowledge that was accessible sufficient to the remainder of the corporate. It was additionally vital to grasp the lineage between Snowflake and PowerBI. Our major objective was to grasp the impression 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 approved folks have entry to particular data, in addition to the flexibility to carry out audits which is important to take care of 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 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 based mostly on Atlan belongings, and we’re engaged on launching that to start with 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 opportunity of utilizing Atlan AI. Our objective is to make accessing knowledge even simpler for folks, and with the ability to chat with Atlan about knowledge would make it straightforward for folks to seek out what they want.
Picture by Mario Caruso on Unsplash