Certifications
Join dynamic discussions on Databricks certifications within the Community. Exchange insights, tips,...
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Informatica ETLs
I'm delving into the challenges of ETL transformations, particularly moving from traditional platforms like Informatica to Databricks. Given the complexity of legacy ETLs, I'm curious about the approaches others have taken to integrate these with Dat...
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We ended up using the tool from datayoga.io that converts these in a multi-stage approach. It converted to an intermediate representation. Then, from there it gets optimized (a lot of the Informatica actions can be optimized out or compacted) and fin...
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Databricks Advent Calendar 2025 #15
New Lakakebase experience is a game-changer for transactional databases. That functionality is fantastic. Autoscaling to zero makes it really cost-effective. Do you need to deploy to prod? Just branch the production database to the release branch, an...
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Data Engineer Professional Certificate Exam Discount Voucher
HiI am planning to take Databricks Certified Data Engineer Professional Exam. The fee is highly unaffordable for me. I am looking for discount vouchers. Please let me know if there is a way to get discount on the exam.Thank you!RegardsKrishna
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Another learning festival is coming with 50% discount vouchers!
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Can't find zip file for "Get Started with Databricks Free Edition"
Hi, all. I'm getting stuck on the second step of the "Get Started with Databricks Free Edition" course. It's obviously instructing me to download a zip file from a GitHub repository, but there is no link provided for the repository. What am I missing...
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Hello @jlancaster86! Thanks for flagging this. Could you please raise a ticket with the Databricks Support team mentioning the missing link in the course, so they can get back to you directly with an update? I’ve also shared this internally.
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Databricks partner journey for small firms
Hello,We are a team of 5 ( DE/ Architects ) exploring the idea of starting a small consulting company focused on Databricks as a SI partner and wanted to learn from others who have gone through the partnership journey.I would love to understand how t...
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If I’m being completely honest, I haven’t seen any. As you can imagine, partner organizations tend to keep things pretty close to the vest for a variety of reasons. That said, once a new partner is officially enrolled, they are granted access to an e...
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Databricks Advent Calendar 2025 #14
Ingestion from SharePoint is now available directly in PySpark. Just define a connection and use spark-read or, even better, spark-readStream with an autoloader. Just specify the file type and options for that file (pdf, csv, Excel, etc.)
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Databricks News: Week 50: 8 December 2025 to 14 December 2025
Excel The big news this week is the possibility of native importing Excel files. Write operations are also possible. There is a possibility of choosing a data range. It also works with the streaming autoloader, currently in beta. GPT 5.2 The same day...
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Databricks Data Analyst Associate Exam – Any Tips or Insights?
Hi Guys,Has anyone sat the Databricks Certified Data Analyst Associate exam so far? I’m planning to take this exam next month and would really appreciate it if you could share your experience.How was the difficulty level overall? Were the questions m...
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Hi @Sadie_james,I have cleared the DA Ass. Exam a month ago. Would suggest the only guide you need is already provided by Databricks - https://www.databricks.com/learn/certification/data-analyst-associateDo take the related Data Analysis with Databri...
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Databricks Advent Calendar 2025 #13
ZeroBus changes the game: you can now push event data directly into Databricks, even from on-prem. No extra event layer needed. Every Unity Catalog table can act as an endpoint.
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Databricks Advent Calendar 2025 #12
All leading LLMs are available natively in Databricks: - ChatGPT 5.2 from the day of the premiere! - System catalog with AI schema in Unity Catalog has multiple LLMs ready to serve! - OpenAI, Gemini, and Anthropic are available side by side!
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Best Development Strategies for Building Reusable Data Engineering Components in Databricks
I’m looking to gather insights from data engineers, architects, and developers who have experience building scalable pipelines in Databricks. Specifically, I want to understand how to design, implement, and manage reusable data engineering components...
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The best strategy is to build modular, parameterized, Delta-optimized functions and package them into reusable Python modules, while keeping Databricks notebooks only for orchestration. This creates consistent, scalable, and easily maintainable data ...
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Getting Genie to Generate SPC (Control) Charts Reliably
Hi everyone!I’m working on getting Genie to accurately generate Statistical Process Control (SPC) charts when prompted. I'm looking for suggestions on how to best approach this. So far, I’ve tried using pre-defined SQL queries to select the data, bu...
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Or here is hopefully a more elegant way to phrase my question:To visualise a control diagram in Genie for an end-user, should I a) instruct Genie how to create an SPC chart with SQL on the fly, of b) create a background job (pre-defined SQL query in ...
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Databricks Advent Calendar 2025 #11
Real-time mode is a breakthrough that lets Spark utilize all available CPUs to process records with single-millisecond latency, while decoupling checkpointing from per-record processing.
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useful one
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Create function issue
Hello - I am following some online code to create a function as follows:-----------------------------------------CREATE OR REPLACE FUNCTION my_catalog.my_schema.insert_data_function(col1_value STRING,col2_value INT)RETURNS BOOLEANCOMMENT 'Inserts dat...
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In UC, the functions must be read-only; they cannot modify state (no INSERT, DELETE, MERGE, CREATE, VACUUM, etc). So I tried to create a PROCEDURE and call it; I was able to insert data into the table successfully. Unity Catalog tools are really jus...
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How realistic is truly end-to-end LLMOps on Databricks?
Databricks is positioning the platform as a full stack for LLM development — from data ingestion → feature/embedding pipelines → fine-tuning (Mosaic AI) → evaluation → deployment (Model Serving) → monitoring (Lakehouse Monitoring).I’m curious about r...
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Thank You @Gecofer for taking the time to share such a clear, experience-backed breakdown of where Databricks shines and where real-world LLM Ops architectures still need supporting components. Your explanation was incredibly practical and resonates ...
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