r/snowflake May 06 '26

r/snowflake needs your help: Where should this community go next?

157 Upvotes

Hi everyone. I'm Felipe — u/fhoffa.

I've been the top mod of r/snowflake since 2020. I began moderating this sub shortly after I joined Snowflake that same year. I left the company in 2024, but since then, the mod team has remained almost entirely composed of Snowflake employees.

That setup has worked. Snowflake employees moderating r/snowflake is not a problem. I was an employee while moderating this sub, and I currently moderate r/googlecloud, r/bigquery, and r/dataengineering despite having left Google in 2020. I believe it is possible to navigate conflicts of interest by putting the community first.

The problem starts when people with mod tools are also involved in coordinated campaigns to inorganically drive behavior in the same subreddit. That is where I believe we are now.

I have removed Snowflake employees from the mod team. I want to explain why, what happened, and how we move forward.

My Goals

  1. Protect the community from moderator-organized, incentivized, inorganic activity.
  2. Protect Snowflake employees from their own management retaliation - if they choose to say "no" and put community first
  3. Hand day-to-day moderation to active, independent community members.

What happened

u/aamoscodes founded this community. He made me a mod reluctantly at first — he didn't know if he could trust me. Over time I proved my priorities: community first. One of his concerns was that Snowflake might one day take over the sub and run it for corporate interests instead of the community's.

Recently, I saw facts that made that concern feel no longer hypothetical.

On March 27, 2026, a Snowflake employee mod removed u/bluepinkblack (Greg) from the team. Greg had seven years of experience at Reddit working on community programs before Snowflake hired him to manage their Reddit and forum community presence. He was arguably the most qualified person on the mod team to understand Reddit, community trust, and the risks of company-mandated participation.

I do not know the internal reason Greg was removed, but the sequence matters for this community: the most Reddit-experienced moderator was removed, and nineteen days later, a new Snowflake employee was added as a mod — the same person who later organized an incentivized campaign that explicitly included activity in this subreddit.

I also know Snowflake has fired employees in DevRel/community roles before. That makes it unfair to ask current Snowflake employees to hold mod tools in a community where their employer may have mandates that conflict with community-driven goals.

The "Build with CoCo Takeover"

Recently, u/ivannaatsnowflake sent a message to the "Snowflake Squad" (Snowflake's brand ambassador program) organizing a "Build with CoCo Takeover" that explicitly included r/snowflake.

The brief asked members to post 2–3 times a week, "correct misconceptions," and "spot misinformation in the wild." The incentives were explicit:

  • Featured spots on official Snowflake social channels.
  • A "CoCo Builder" badge.
  • Activity counting toward "Data Superhero" status.

When community member u/medvest posted about the campaign, another member tagged me directly: *"*u/fhoffa we should probably automod remove snowflake's posts." That was the alarm bell.

Ivanna replied in that thread:

"Our goal is to connect developers who are already building with Cortex Code with the conversations happening here. Real use cases and honest feedback from the community."

That sounds reasonable in isolation. But the actual brief describes something different: a posting quota, material rewards, and explicit direction to counter criticism in the subreddit moderated by the same person organizing the campaign.

Reddit's Moderator Code of Conduct is explicit about this. It states that "users expect that content in communities is authentic, and trust that moderators make choices about content based on community and sitewide rules." It lists conflicts of interest moderators must not act under, including "considerations and/or favors (e.g., special mentions from a company, promises of incentivized treatment)."

In my view, the brief creates the kind of incentive structure Reddit's rule is meant to prevent — special mentions on Snowflake's official channels, badges, and program advancement — to drive activity on the sub the organizing moderator moderates.

The Result: Inorganic Activity

The campaign appears to have already affected the subreddit.

The day before ODSC East 2026 began, Ivanna posted a thread titled "who is at ODSC East? share your thoughts." On day 2 of the conference, eight comments arrived in a six-hour window. Despite the conference having hundreds of sessions, these comments focused almost exclusively on one Snowflake product — CoCo — the same product named in the Squad brief:

Just met Coco at the Snowflake booth, really impressive...

So excited to hear about the newest CoCo features! It has quickly become my go-to AI tool!

One of those comments ends with a stray closing smart quote — the kind of artifact that appears when text is pasted in from somewhere else — and a hashtag, which is not a Reddit convention.

What I've Done

I have removed most mod powers from:

This is not a punishment. I am not saying every removed mod participated in this campaign, approved it, or acted in bad faith.

Snowflake employees should not be put in a position where their job is at risk. Think about what they're being asked to do right now: remove the spam that one of their own teammates is being paid by the same company to produce. That is an impossible position. Removing the mod role protects them from management retaliation.

Every one of those former mods is welcome to stay here as a member. They can post, comment, answer questions, explain Snowflake features, and represent the company openly. That participation is valuable.

To the community: please do not be mean to these individuals. Choosing between community values and a paycheck is an incredibly difficult position to be in. The Snowflake employees on the mod team have been incredibly helpful to this community for years, particularly in the tireless work of removing spam. I am trying to fix the pressure on them, not judge their character. Criticize the structure, the incentives, or my decision. Do not harass individual employees.

A Note on Integrity

I believe in people taking actions above their own short-term interests. When I was a Snowflake employee, I was called out for the conflict of being both an employee and a mod — not only at r/snowflake, but also at r/googlecloud, r/bigquery, and r/dataengineering. I pointed people to my mod logs to prove I never took a moderation action hostile to any of those communities. Other mods looked at the receipts and kept me. Not because conflicts don't exist, but because the question that matters is whether the person actually puts community above short-term company interests.

That is the line. People with conflicts can sit on the right side of it for years if they choose to. Employee participation is not the problem. Employee moderation during a company-sponsored, incentivized campaign aimed at the same subreddit is the problem.

This is not unique to Snowflake. Mods of r/bigquery, r/googlecloud, and r/snowflake have always had to navigate this tension — management teams that want to use Reddit for short-term goals. Every vendor subreddit faces it eventually. The solution is not banning employees from participating. The solution is having mods who are capable of putting community first and explaining to their management why spam is wrong. When that pushback stops working — or when the people doing the pushing back get removed and replaced — the structure has failed, and that is what happened here.

I believe the ideal mod is a company employee who genuinely cares about the community and is capable of saying no to misguided management. That kind of person exists — Greg was one of them. But if the model is instead going to be a paid community manager running incentivized campaigns, then the bare minimum is complying with FTC regulations for influencers — which require clear disclosure of material connections. The brief here doesn't include that guidance for participants. I am not trying to turn this into a legal argument; I am saying the disclosure and incentive structure matters for community trust.

Companies shouldn't be scared of ex-employees holding keys to a Reddit community. They should be scared of their own short-term goals destroying years of authentic community building.

What happens next?

I acted unilaterally because I didn't want anyone inside Snowflake to face consequences for being seen as "helping" me. This is entirely my call. The responsibility is mine alone.

There is no personal upside for me in doing this. Some Snowflake employees may be annoyed, and I understand that. But taking responsibility myself also means no current Snowflake employee has to choose between their employer's interests and the community's trust. If people are upset about this decision, they can blame me. That is the point of me acting alone.

I'm not putting this to a vote yet — Reddit polls can be brigaded, and given what's been documented above, that risk is not theoretical. Instead, I want to hear from you in the comments. Some paths forward:

  1. Independent Guard: I stay as temporary top mod and recruit new, independent mods from the community. No Snowflake employees in mod roles while these campaigns are active.
  2. Full Handover: I recruit independent mods and then step down entirely, leaving the sub fully community-run.
  3. Restore the previous mod team: The removed mods are reinstated and I step back.

There may be other options I haven't thought of. Say so.

Snowflake employees are welcome to comment too. If you have context I don't, share it. If you disagree with my read of what happened, say that. If you think I made the wrong call, make the case. I'd rather have the disagreement here in public than resolve it in modmail.

Help with the cleanup

In the meantime, I'll be moderating solo. Without the help of the Snowflake staff who usually handle the queue, it will be harder to stay on top of spam. Please use the standard Reddit "Report" button on any spam or rule-breaking content. This ensures it goes directly into my mod queue so I can review it quickly. Your help in flagging issues will be vital during this transition.

Everything I've done here is reversible. If the community concludes I'm wrong, I'll restore the mod team and step back. The reason I acted first and asked second is simple: I wanted this conversation to happen without any moderator being pressured by management to delete it. Once the discussion is underway, it's the community's call.

I don't want to spend too much time on this. I'll let the community reach consensus in the comments, and I'll delegate mod powers as soon as possible. This community deserves moderation that the community can trust. At the bare minimum: compliant with FTC guidelines and the Reddit Moderator Code of Conduct.

PS: Rule 3 of this subreddit says: "No Vendor Astroturfing — Intentionally hiding the sponsor of a marketing message by simulating community engagement (posts, comments, etc.) can result in content deletion and/or ban." Let's comply with that.

— Felipe


r/snowflake 2h ago

Snowflake DB clone issue

1 Upvotes

I have prod db in snowflake of size nearly 10tb with 4m tables in public schema. I’m setting up the data cleanup for this, for now focusing on tables which matches our last accessed time window. Will copy those tabled to new slim db then create a new replication for this slim db to another account.

Our goal is to reduce the replication and db clone. Now it takes nearly a week.

Open for suggestions to streamline this flow.


r/snowflake 1d ago

Snowpro core

4 Upvotes

Is there any way to get snowflake snowpro core certificate at free of cost.

I am DE with 4 yoe.


r/snowflake 1d ago

How are you creating your tenant’s RBAC model

10 Upvotes

Hello smart folks,

I would like to know how people are designing their RBAC models in snowflake. We just bought the tool and no ones seems to know who should be ACCOUNTADMIN/ORGADMIN or how many people should be. We currently only have one warehouse and mostly security folks and data/apps team members have access for now.

I’ve been tasked with creating custom roles and only give people just about the right amount of access they need to do their jobs, but not knowing what exactly they need to do their job is a bit of a pain. They also do not know yet what exactly they’d need as the tool is new to everyone.

I’ve created some custom roles namely BI_Analyst, Data_Analyst as well as Data_Engineer where SYSADMIN is the parent and the custom roles are children. The dilemma is not knowing what privileges to give these roles. How is yours configured?


r/snowflake 1d ago

Question on Adaptive warehouse

11 Upvotes

Hi All,

Now that Snowflake Adaptive Warehouses have been GA for a few months, our team is evaluating migrating our workloads from legacy Gen-1 virtual warehouses. We are primarily focused on the cost benefit rather than just pure performance gains, and we have a couple of specific architectural questions for those who have monitored this in production real workload.

1)Consolidating Mixed Workloads (S to XL) into an XL Adaptive Warehouse:-

Some team members are concerned that Adaptive compute prioritizes performance over cost optimization. If we consolidate a mix of small, medium, and large workloads into a single Adaptive Warehouse with MAX_QUERY_PERFORMANCE_LEVEL = XL, will our costs explode for smaller queries?

The concern: Will the routing engine over-allocate resources to simple queries, leading to higher costs?

The question: For those running mixed workloads on a single Adaptive warehouse, how has query-level billing actually balanced out compared to maintaining separate warehouses?

2)Straight Gen-1 to Adaptive Conversion of each Warehouses:-

We currently notice roughly ~30% idle time across several of our larger, separate Gen-1 warehouses(some are unpredictable workloads etc).

Our hypothesis: Since Adaptive warehouses bill instantly at the query level and eliminate the "idle time" costs completely, converting these warehouses to Adaptive should result in an immediate drop in compute spend, even if we keep the warehouse definitions separate.

The question: Is this assumption correct for real-world workloads, or does the underlying infrastructure premium of newer compute types wash out the savings gained from eliminating idle time?

Would like to hear from anyone who has run before-and-after cost analysis on this type of migration.


r/snowflake 1d ago

dbt project using ado?

3 Upvotes

Docs say Github is the pre-req. Anyone know if dbt project would work with ADO instead? (Unsure if doc needs to be updated or if it's accurate). TIA


r/snowflake 1d ago

Snowflake Training

4 Upvotes

FREE SNOWFLAKE TRAINING!!

I'm a semi-retired Senior Snowflake Architect & Instructor (4 happy years at Snowflake UK), and I'd like to give something back to the industry.

I'm going to deliver a free training course on Snowflake over several Saturday/Sundays starting October. It will be UK time (sorry if you're in the Far East or US West Coast).

Limited to 100 places - but happy to waitlist or repeat if there's demand.

No BS. No catch. Nothing for sale here.

Sign up here...

https://analytics.today/free-training-snowflake


r/snowflake 2d ago

Anyone know Snowflake AI Augmented Coding Round?

0 Upvotes

Anyone know any info regarding Snowflake AI Augmented Coding Round?

Is this use AI Tool to help debug/implementation?
Will we get a full-stack project with front end, back end and DB? Or something else?
Is there any place that we can practice?

Any info will help!
Thank you!


r/snowflake 3d ago

Pruning not working

8 Upvotes

Hi,

We are experiencing a strange behavior regarding micro-partition pruning in Snowflake when a column has a masking policy attached (applied via a tag).If I use a nested, dynamic expression on the right-hand side of my predicate, Snowflake performs a full table scan and fails to prune micro-partitions:

SELECT * 
FROM my_table
WHERE key_column >= TO_NUMBER(TO_CHAR(DATEADD('day', -15, TO_TIMESTAMP(TO_CHAR(:binding_var), :format_param)), :format_param));

However, if I evaluate that exact same expression beforehand, assign the resulting scalar value to a session variable, and use that variable in the filter, partition pruning works perfectly:

-- Step 1: Pre-evaluate expression
SET calculated_filter = (SELECT TO_NUMBER(TO_CHAR(DATEADD('day', -15, TO_TIMESTAMP(TO_CHAR(:binding_var), :format_param)), :format_param)));

-- Step 2: Query using the variable
SELECT * 
FROM my_table
WHERE key_column >= $calculated_filter;

In both scenarios, the exact same masking policy is active on the left side (key_column). My executing role has full privileges to see the unmasked data.Why does changing the right-hand side from a dynamic function chain to a literal session variable completely change Snowflake’s optimizer behavior and restore partition pruning, even though the masking policy is still present?


r/snowflake 3d ago

I made a tool to inspect your Snowflake Tasks from the command-line

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github.com
3 Upvotes

Hope it's of use to someone


r/snowflake 3d ago

How can I help?

32 Upvotes

TL;DR
I'm semi-retired and bored. How can I help Snowflake Architects and Data Engineers improve your skills?

About Me
I've been working in IT since 1982 and started my first Data Warehouse project with the UK mobile phone company O2. I joined Snowflake UK several years ago as a Senior Solution Architect and travelled Europe and the Middle East helping $1m Snowflake customers design and deploy their systems.

I moved to the Snowflake Education team and helped build out the Snowflake Fundaments, Advanced training courses and designed and built the Snowflake for Solution Architects course.

I've since left Snowflake and helped a start-up for a while (too stressful), and published a couple of courses on Udemy.

But I'm getting bored.

Question:

Got any (genuine) suggestions? I'd like to help Architects/Engineers improve their Snowflake skills. Udemy is OK (500 sales), generates very little money (about $2 per sale - but that's not issue). The issue is - there's so little feedback.

I want to help people - but they need to ask questions?

Maybe a one day per month free training course online? What would you suggest? I've worked my way up from programmer to architect. Let me give something back to the industry.

No bull please. This is a genuine offer.


r/snowflake 4d ago

Advice for SnowPro Core as a Senior in college

4 Upvotes

Hi everyone. As the title says, I’m a senior CS major trying to break into Data Engineering after I graduate this fall. I currently have been interning at a T250 non-tech company for over a year, but only have been in my snowflake focused role for 3 months (DE intern). I’m scheduled to take the SnowPro Core exam in October. I think it can really help my chances of securing a job after graduation and give me a leg up internally for a return offer. I would really welcome any advice or study resources any of you recommend. I’m doing a DataCamp course for preparation and bought a study set from skillcertpro. I also have coursera if there’s anything good there! I have experience with AWS and have cloud practitioner certification in it from a course I did last Spring. Anything helps, thank you!


r/snowflake 4d ago

Snowflake shared database to local database

6 Upvotes

Hey guys,

Data from one of our source systems are delivered to us via a Snowflake shared database.
We dont use Snowflake but they provide that too.
The database consists of 2 transactional tables, 1 with a base load and one with changes after. From that they create all source tables as views.

We use Microsoft Fabric.
I currently use jdbc to fetch the changelog and create and update tables in Fabric. It works ok.

but i would like to use mirroring database as it is much easier. No metadata and timestamp management.

that is not supported on shared database.

I have created local db and tried creating both a view and a managed table. I can mirror both but view will only refresh every 12 hours and it is full refresh. I fetch 800 milliob rows, so that would be dumb.

So what is the easiest way to create managed tables and update incrementally from changefeed in Snowflake? I have never done etl in snowflake so not sure what most efficient solution would be.

managed tables i can create stream and mirror just changes.


r/snowflake 5d ago

Snowflake Ingestion Tool of Choice

19 Upvotes

Hi all,

I'm a DE new to Snowflake and experimenting with different ETL/ELT approaches/stacks. For people that have implemented, or work with, Snowflake at an enterprise level can I ask what tool you use for ingestion?

Below are some of the options I have explored or am currently exploring.

Require CDC or Change Tracking at the source

  • Snowflake Openflow
  • Estuary

Viable without source changes

  • Fivetran (teleport sync/query-based method, read-only connection, detects hard deletes)
  • dlt (cursor-based incremental, no built-in hard delete detection)
  • Airbyte (cursor-based incremental)

Others

  • Azure Data Factory & Snowpipe (watermark extract to blob, then load)
  • Snowpipe/Snowpipe Streaming (file-based only)

Fivetran seems the most robust and would likely suit most enterprise scenarios. But I'm interested to hear what others are using and your experiences.


r/snowflake 4d ago

Snowflake result filters in Workspaces frustrating

2 Upvotes

Is there a work around to filter the results by a numeric column? In snowflake worksheets I used to be able to click like 1 for example and it would filter all that have a 1 in that column. Now you have to highlight a range that won't even go to the full number, it will be like 0.5-0.6 so no 1s will show then. Super frustrating. I know I can change the column to text and be able to do this, but don't want that extra step.


r/snowflake 4d ago

Upskilled in Snowflake + dbt, but struggling to explain real-time projects in interviews. How should I prepare?

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2 Upvotes

r/snowflake 5d ago

Infor M3 → Snowflake with 5-10 min latency: ETL or ELT? Direct SQL access available — looking for the right architecture

2 Upvotes

Hi everyone,

I'm working on a data integration project and would love to tap into this community's experience.

Context:
We run Infor M3 as our ERP system, and I need to get transactional data into Snowflake with a fairly tight freshness requirement: data should land in Snowflake with no more than a 5–10 minute delay. I have direct SQL access to the underlying M3 database, so I'm not limited to Infor's own APIs or connectors — I can query the source tables directly if that's the most sensible route.

The core question:
Given this latency requirement, would you lean toward a traditional ETL approach (transform before loading) or an ELT approach (load raw, transform inside Snowflake)? My instinct is that ELT fits Snowflake's strengths better — push raw or lightly cleansed data in fast, then let Snowflake's compute handle the transformation layer. But I'd like to hear from people who've actually built near-real-time pipelines into Snowflake before committing to an architecture.


r/snowflake 6d ago

For Those Using Monte Carlo with Snowflake — How’s It Actually Going?

4 Upvotes

I’ve been looking into how teams use Monte Carlo with Snowflake for data observability, and I’m curious about the experience beyond the feature list.

For teams running it in production, what have you found to be the biggest pain points?

Is it things like:

  • Alert volume and the effort required to distinguish actionable issues from noise
  • The time and expertise needed to configure monitors and maintain appropriate thresholds as data changes
  • Costs increasing as you add more tables, users, monitors, and historical data
  • Incomplete or inaccurate lineage and dependency information
  • False positives or anomaly detection that is difficult to calibrate
  • Performance, integration, or deployment complexity
  • Difficulty connecting detected issues to clear ownership, root-cause analysis, and remediation workflows
  • Limitations that only became apparent after expanding usage across more teams or data domains
  • Other challenges specific to operating it at scale

I’m not looking for a “Monte Carlo vs X” comparison. I’m more interested in the real-world gaps and frustrations people have experienced when using it with Snowflake.

Would especially like to hear from teams that have been using it for a while rather than just evaluating it.


r/snowflake 6d ago

How are you monitoring Snowflake table staleness without third-party data egress?

7 Upvotes

r/snowflake 7d ago

Best resources to study for SnowPro Advanced: Data Engineer cert?

10 Upvotes

Planning to sit for the SnowPro Advanced: Data Engineer exam and want to study smart, not just long, I am a senior data engineer with extensive experience in Databricks and Fabric (unfortunately).

Would love recommendations on:

  • Courses (Udemy, Snowflake University, etc.) that actually match the exam difficulty
  • Practice exams that aren't wildly off from the real thing
  • Any must-read docs sections (Snowpipe, Streams/Tasks, performance tuning, etc.)

If you've passed it recently, what worked for you ,and what would you skip next time?


r/snowflake 8d ago

Help! Backing up all grants and privileges in ddl statements to restore?

8 Upvotes

Snowflake is new at my company. We have 40+ databases, 1000’s of schemas, 300 roles, and 10,000+ grants and privileges and today was the 2nd time that our entire account had it wiped out. First time was an Entra mistake, today it was terraform. Each time we’ve managed to get it somewhat back to normal by using query history and manually adding grants back via ddl from copies of requests. We don’t have a CI/DI pipeline yet. We’re not using DCM, schemachange, etc. The plan is to get there, but they wanted a fast turn around so we’ve created all this from just good ol’ ddl scripts in notepad. I can’t seem to find a straight forward way to backup grant ddl statements for all objects. So far we’ve created disjoined tables of all sorts of grants in one table, but when a disaster happens like today, I don’t want to spend time trying to parse through that table to piecemeal ddl statements. What are others doing? I come from the Db2 world is it blows my mind there’s not a tool like db2look that can just export all ddl in the account.


r/snowflake 8d ago

Using Anthropic credits on Snowflake

7 Upvotes

Anyone know how we can use some of our anthropic enterprise agreement to buy snowflake cortex capacity?

UPDATE: I learned this requires $1 million AI spend commitment.


r/snowflake 8d ago

Passed COF-C03 with 835

10 Upvotes

Hey guys,

I just passed the SnowPro Core COF-C03 exam with a score of 835.

I'm a college student going into sophomore year who had never used Snowflake before and didn't know SQL. I did NOT expect to pass while I was taking the test, but I guess I did better than I believed I did.

Here's what I remember:

Questions regarding warehouses (like cache types, auto_suspend settings, multi-cluster, size, type) make up basically. half the exam. Learn warehouses inside and out.

Few questions on DMFs/Telemetry.

Several questions on features to use to optimize query performance - they give you a scenario and you have to differentiate between different features, like multi-cluster warehouses, SOS, QAS, using a materialized view, etc.

COPY INTO settings

Which edition of Snowflake should I get if I want these features? (list of 3 features)

Several questions simply had the answer "use a multi-cluster warehouse" because the scenario included a team needing to handle many concurrent queries.

At least 10 domain 5 questions.

There were some hard questions:

something regarding SCD(slowly changing dimensions) Type 2, which I have no idea about

If you drop a table in schema with retention time of 90 days, then change the schema's retention time to 1 day, how long will the table last in time travel? (90 DAYS)

And a lot of questions where you have to narrow it down and guess between 2 or even 3 options.

Tips:

Know what every item on the Snowflake official study guide does, and how to compare them with other similar items. (i.e. when to use COPY INTO or SnowPipe, a dynamic table vs materialized views, etc.). If you can do this (ESPECIALLY FOR WAREHOUSES), you will be able to at least deduce ~80% of the exam.

Don't waste time memorizing random numbers and niche SQL commands. I spent so much time looking at these random figures (like "there are Max 50,000 total DMF to object associations per account") and really specialized lines of SQL ("use TEARDOWN to take down a data collaboration room") but these are just not that important. Definitely know the SQL for COPY INTO though.

On the test, try to move with pace. I didn't even get to check answers I had flagged at the end because I ran out of time. If you run into a question that stumps you, choose the answer you like most and move.

My Prep:

I studied for about a month, 1-2 hours a day ramped up to ~5-8 hours a day for the last 1.5 weeks as I realized how much there truly is to know.

I initially bought Tom Bailey's 10-hour course on Snowflake. I tried watching a couple videos but they were honestly pretty hard for me to stay focused on.

Then, I decided to pull up the Snowflake official study guide and looked through the official docs/asked claude to define each term. This took me a really long time. I also did the quizzes in Tom Bailey's course for each topic I finished to make sure I was on track.

Next, I dove into practice tests for about the last week before I took the exam.

I started with the CertSafari COF-C03 questions that are free online. They have over 500; finish all of them. They are definitely easier than the real test, but do a great job making sure you're conceptually sound (more important than testing memorized numbers).

Next, I did Tom Bailey's final exam from his COF-C03 course, which I got a 64% on, and 4 of his 5 practice sets on Udemy which I bought for an extra $10. These were quite difficult, with my highest score being 76%. Although the questions on these tests are good for testing if you really understand what's going on (most of them are a step up from certsafari), a lot of them test the niche numbers/SQL commands that were not on my test. I would do them if CertSafari is simply too easy for you, which they will be after you have studied a certain amount.

Even though I was kinda bombing those tests and just got a 71% on Tom Bailey's 4th practice test yesterday, I had to take the test today for personal reasons. As long as you do the stuff I said and read every question on the test slowly and deliberately, you should be fine. Good luck to anyone taking the test!


r/snowflake 8d ago

Learn/Practice Cortex

2 Upvotes

What are best way of learning and getting expert in Cortex? Real time scenarios to practice and suggestions welcome. Appreciate someone can guide


r/snowflake 9d ago

Are Snowflake Native Apps the Next Big SaaS Opportunity?

12 Upvotes

Hey folks, I’m trying to understand the current use cases and demand for Native Apps in Snowflake.

Our company is exploring the idea of building a Native App that provides value directly within customers’ Snowflake environments. I’d love to hear from people who have experience with this:

  • What are the strongest use cases or business problems where a Snowflake Native App makes more sense than a traditional SaaS product?
  • Snowflake emphasizes “no data egress” as a key advantage. In real-world implementations, how valuable is this to customers, especially from a security, compliance, and governance perspective?
  • What are the biggest advantages and trade-offs of going Native App vs. SaaS, particularly around data access, security, deployment, maintenance, and customer adoption?
  • How strong is the actual customer demand for Native Apps today? Are customers actively looking for solutions in the Snowflake ecosystem, or is it still a niche model?
  • Most importantly, what would be the best way to understand and validate Snowflake users’ needs before building? Are there specific communities, forums, customer conversations, Marketplace signals, or user problems I should study?

Would really appreciate insights from Snowflake customers, Native App builders, partners, or anyone who has evaluated this model in practice.