Launching an Inside Knowledge Market with Atlan
The Energetic Metadata Pioneers sequence options Atlan prospects who’ve not too long ago accomplished a radical analysis of the Energetic Metadata Administration market. Paying ahead what you’ve discovered to the subsequent information 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 trendy information stack, revolutionary use instances for metadata, and extra.
On this installment of the sequence, we meet Cristina Perez Martinez, Knowledge 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 Knowledge & Analytics?
Ezequiel Barbero:
I’ve obtained a Masters in Huge Knowledge and have labored in Knowledge & Analytics since 2002. I began at Telefónica in Argentina with the BI Knowledge Crew engaged on ETLs primarily based in SQL. Then I labored in Knowledge Engineering serving to with Knowledge Science, working with the pinnacle of that group in Argentina.
In 2019, I got here to Spain to work with their Knowledge Science group on Advertising and marketing Intelligence, and in 2021 I joined Telefónica Tech to start out 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 group has primarily been working as Knowledge Engineers and Knowledge Architects for the BI group.
Would you thoughts describing Telefónica, and the way your information group helps the group?
Cristina:
Telefónica is split into fairly just a few completely different corporations, however as a complete, it’s a Telecommunications Enterprise. Right here, in Telefónica Tech, the digital enterprise unit, we’ve been targeted on digital applied sciences comparable to AI & BD, connectivity and IoT, Cybersecurity, Cloud, and Blockchain.
Our group is split into two, with a part of the group targeted on structure and engineering, getting uncooked information, then standardizing and remodeling it till it goes into Snowflake, our Knowledge Warehouse. The remainder of the group is concentrated on Knowledge Evaluation, primarily based in Snowflake and coding in SQL. From there, they develop dashboards in PowerBI.
Ezequiel:
Telefónica Tech has a group engaged on IoT and Huge Knowledge for exterior use instances, however our group is answerable for inner use instances, supporting the corporate. We help infrastructure, transformation, and for nearly a 12 months now, Knowledge Governance.
What does your information stack appear to be?
Ezequiel:
Our stack is predicated on Microsoft Azure, and we use Knowledge Manufacturing unit for Orchestration. We use Databricks’ ETL device, blob storage, and information lake. Snowflake is Telefónica’s information warehouse.
Why seek for an Energetic Metadata Administration resolution? What was lacking?
Ezequiel:
Our firm has over 6,200 folks, however our group is small relative to all the group. So if it’s necessary to enhance information democratization, then that wouldn’t be potential with out self-service, and with out Knowledge Governance.
Why was Atlan a superb 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 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 major purpose was to grasp 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 strong device 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 data, in addition to the power to carry out audits which is crucial to keep up the integrity and compliance of our information operations.
What do you plan on creating with Atlan? Do you might have 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 information, with the whole lot primarily based on Atlan property, and we’re engaged on launching that to start with of this 12 months. From there, we’re wanting ahead to populating much more metadata in Atlan and Snowflake.
Sooner or later, we’re enthusiastic about the potential of utilizing Atlan AI. Our purpose is to make accessing information even simpler for folks, and having the ability to chat with Atlan about information would make it simple for folks to seek out what they want.
Picture by Mario Caruso on Unsplash