Sudarshan Sampath’s Post

From our founding in July 2022 to today we've done one thing: structure raw unstructured files into JSON. Today marks a big departure from the past 30 months. Platform automates all ingesting and preprocessing operations "to-the-left" of vector and graph databases. With Platform you can schedule jobs to pull data from your system record of choice; use our models and/or third-party models to transform them to JSON; chunk them; embed them; and then write them to your destination of choice. In less than three minutes you can stand up and deploy pipelines that will continuously hydrate your GenAI data layer with RAG Ready data. With Platform we've optimized for reliability, ease-of-use, and interoperability. Our company mascot continues to be a 1995 Toyota Corolla: cheap, simple, and effective. Platform is simple to use, reliable, inexpensive to operate, and connects to any of our in-house models or third party models (we manage third party API uptime and billing) to deliver great data for downstream GenAI applications. Please give it a try and we'd love to hear your feedback.

The latest update for #Fivetran includes "How Fivetran ensures #GDPR #compliance and protects your data" and "Data replication tools: Comparing Fivetran's deployment options". #Integration #DataAnalytics #ETL https://lnkd.in/dSn42W4F

Understanding Data Lineage and Its Necessity: Data lineage is the process of tracking how data moves, transforms, and interacts with systems from its origin to its final destination. Here are 4 key reasons why tracking data lineage is crucial: 1. Ensures Regulatory Compliance: Regulations like GDPR, HIPAA, and CCPA require organizations to demonstrate where their data comes from, how it’s processed, and where it’s stored. Data lineage provides the transparency needed for audits and reporting. 2. Enables Impact Analysis: Tracking data lineage allows organizations to assess the downstream impact of changes in source systems, helping teams proactively plan necessary adjustments in data pipelines or reports. 3. Facilitates Troubleshooting: If an issue arises, data lineage allows teams to quickly trace the error back to the ETL process or input data, minimizing downtime and improving decision-making quickly. 4. Enhances Trust and Transparency: When teams understand the origin, transformations, and destination of the data, they can trust it more, increasing confidence in the decisions based on it. #DataLineage #DataQuality #DataGovernance #DataManagement #DataAnalytics #ETL

🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.  

"Does Data Vault (still) make sense?" (slide 1) ... a customer asks me today and says, quite rightly of course: "And I know you're biased." (slide 2) "Well, at some point I switched to Data Vault because I thought it was the best, so why shouldn't I switch again if I find something better?" (slide 3) And there are really good reasons too! (slide 4) # 1 Imagine your data is organized like your business model and not somehow technically cryptic! (slide 5) # 2 Imagine that this makes "governance" and GDPR law easy to achieve. (slide 6) # 3 Imagine that communication with your IT becomes really easy. (slide 7) # ... And you can also imagine a lot more underfill. (slide 8) Gladly with my help. That's what I'm here for: Integration ... ✅ Your needs ✅ Your contributors ✅ Your data (slide 9) and now: 1. Share this post, if you know me, with a recommendation 2. Send me a LinkedIn connection request 3. Ask me whatever you want to know via comment or message. (slide 10)

🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.  

🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.  

🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.  

🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.