Eliud Polanco’s Post

I highly recommend joining this webinar. If you are not thinking semantic layer, then you will not be able to keep up with the proliferation of data that will be coming at you. It will seem unmanageable. Only through automation will you be able to be successful and the semantic data layer will be your key to success. Definitely worth your time.

This is going to be a very educational and potentially eye-opening webinar, especially for those of us who always loved the idea of semantic layers and knowledge graphs, but could never quite find the compelling business case for them. GenAI and LLM change that equation significantly. I highly recommend tuning into this webinar to find out why and how! Fluree Eliud Polanco

I am excited to present the third installment of my collaborative blog series with Siddarth Ranganathan, focusing on a crucial element of Product Data Science case interviews: utilizing data to resolve business challenges. Our goal is to demonstrate the strategic handling of data needs while solving a product-related issue, through a concrete real-world example. We will emphasize the thought process and actual implementation of data science techniques in overcoming obstacles related to product improvement. Link to the blog : https://lnkd.in/gqRkQgSq Link to previous blogs in the comments.

Last month, we hosted a Lunch 'n' Learn at dbt Labs Coalesce, featuring our customers Xometry and Fleetio. 🥪🧠 There were tons of questions from the audience following the fireside chat. 🙋♀️ This response inspired us to dive deeper into the nuances of advocating for a column-level lineage tool within your organization – and we're inviting you to join the dialogue! If you didn’t have the chance during Coalesce, this is your chance to ask Jisan Zaman, the Data Engineering Manager at Xometry, any questions you have about convincing business leaders to bring on a column-level lineage tool.    As someone who had to gain buy-in from his stakeholders, he has a lot of valuable pointers to share. 💡 His insights will be featured in our upcoming AMA-style interview, "Making a Business Case for Bringing on a Column-Level Data Lineage Tool." Submit your questions below! 👇 https://lnkd.in/g_j_eRwt

👥 New Blog Alert! In our latest blog, guest writer Donald Farmer explores the challenges organizations face in making data-driven decisions. Diving into the crucial role of semantic layers in overcoming these obstacles by bridging the gap between data engineers and business analysis. Read the blog now 👇 https://lnkd.in/eqP_p2MC Want to learn more about how a semantic layer can bring together many enterprise user personas? Join us at the Semantic Layer Summit on April 24th to hear more about our latest product innovations.

If you haven't heard ❗ Our annual Lakehouse Conference ~ Subsurface ~ is back this May 2nd-3rd. It's a free conference and you can attend the sessions virtually or in person in New York! A couple of sessions I'm excited for 👇 - Hearing from one of the creators of Apache Iceberg on what's next in data architecture - How the modern data stack will be leveraged to build GenAI apps for the business - The approach to building an on-prem Lakehouse Link to register -> https://lnkd.in/gBj_apcn #dataengineering #datalakehouse #dataandanalytics

Are you registered yet for the interactive session tomorrow with Denali Carpenter of Inteleos? Learn how to use data science and model the future state to help make a more informed decision. Grab your virtual spot now... #assnchat #assnprofs #associations #womenintech

If you were to learn data science or data engineering all over again, how would you do it? Harun Mbaabu Mwenda shared insights on some important steps, tools and technologies he’d prioritize! Watch full episode here: https://lnkd.in/d-Vj78-s Subscribe to our channel too🎈 Hosted by Faith Kilonzi Mwikali . Rhonajoy Koome Diana Mongina

A must-attend webinar! Join John Stegeman and learn: ☑️ How graphs fit within a #RAG architecture ☑️ The fundamental ways that #GraphRAG improves retrieval ☑️ How using Graph Data Science, a library of algorithms that helps uncover further hidden relationships in data, further enhances GraphRAG Asia Pacific: https://bit.ly/4dRSD7h Europe: https://bit.ly/3MgIDZa Americas: https://bit.ly/3yLyBMI Learn how #GraphRAG can help you get more accurate answers! #knowledgeGraphs #Neo4j

Data teams are slowed down because of a lack of trust and visibility in data. In my role at Atlan, I see/hear about this challenge from many data leaders. Data producers lack visibility into how consumers use their warehouse data, or what dashboards their data model powers. And data consumers live in their BI dashboards and don’t know why their data turns out to be inconsistent. Join us to learn how Atlan partners with Airflow, dbt Labs, Fivetran, Monte Carlo, Soda and other modern data stack tools to help your data consumers and producers work better together. Save your spot: https://lnkd.in/dnfevatP