Launching an Inner Knowledge Market with Atlan
The Lively Metadata Pioneers sequence options Atlan prospects who’ve just lately 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 trendy knowledge stack, modern 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 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.
May you inform us a bit about your self, your background, and what drew you to Knowledge & Analytics?
Ezequiel Barbero:
I’ve bought a Masters in Massive Knowledge and have labored in Knowledge & Analytics since 2002. I began at Telefónica in Argentina with the BI Knowledge Workforce engaged on ETLs based mostly 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 begin 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 group has primarily been working as Knowledge Engineers and Knowledge Architects for the BI group.
Would you thoughts describing Telefónica, and the way your knowledge group helps the group?
Cristina:
Telefónica is split into fairly just a few completely different firms, 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 corresponding 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 knowledge, then standardizing and reworking it till it goes into Snowflake, our Knowledge Warehouse. The remainder of the group is targeted on Knowledge Evaluation, based mostly in Snowflake and coding in SQL. From there, they develop dashboards in PowerBI.
Ezequiel:
Telefónica Tech has a group engaged on IoT and Massive Knowledge for exterior use instances, however our group is accountable for inner use instances, supporting the corporate. We assist infrastructure, transformation, and for nearly a 12 months now, Knowledge Governance.
What does your knowledge stack seem like?
Ezequiel:
Our stack relies on Microsoft Azure, and we use Knowledge Manufacturing facility 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 resolution? What was lacking?
Ezequiel:
Our firm has over 6,200 individuals, however our group is small relative to the whole group. So if it’s vital to enhance knowledge democratization, then that wouldn’t be potential with out self-service, and with out Knowledge Governance.
Why was Atlan a great match? Did something stand out throughout your analysis course of?
Ezequiel:
We had been first in search of a cloud-based SaaS resolution that was straightforward to deploy and straightforward to arrange.
Cristina:
Our aim was to have a spot the place we may 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 aim was to know 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 sturdy software to strengthen safety of our knowledge platform, permitting us to assign roles and permissions to make sure that solely approved individuals have entry to particular data, in addition to the power to carry out audits which is important to take care of the integrity and compliance of our knowledge operations.
What do you propose on creating with Atlan? Do you may 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 every little thing based mostly on Atlan belongings, 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 opportunity of utilizing Atlan AI. Our aim 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 seek out what they want.
Picture by Mario Caruso on Unsplash
