vizually

@greenpants, "Pi coding harness but containerized and sandboxed" care to address some specifics and/or reference implementation for this. may be a GITHub URL?

In this issue, I cover -

• There are many databases and tools but where is the data platform?

• There are only three roles in data

• Data visualization color guide

• The Future of the (Modern) Data Stack

• Indexes in Postgres

https://datawithdev.com/dc-03-data-job-trends-vc-money

In this third issue, following topics are covered.

The distribution of data jobs by primary technical skill (spoiler – Python & SQL win by a wide margin).

The rise of operational analytics.

Inspiring Tableau data visualizations

Big data, big money

Free learning resources on deep learning and a data engineering bootcamp

This course was created after feedback from Reddit community and my own professional experience.

Despite content explosion, many data professionals could use a holistic look at data visualization, SQL, and Tableau.

Which is why I built this course.

If you are a student from a developing country, please DM and I will make it available for free to you.

Some of the videos are available on YouTube and more will be added. https://www.youtube.com/channel/UCC82PXmB2bhtejeSUXcJ_hw

@NicoJuicy,

If you want to learn Cloud, definitely go ahead with Azure certifications.

If you are expecting to get hired because of certifications, that may be hoping for less than 5 percentile outcome.

Certifications do provide a defined goal and courses to get started.

"Sunlight is the best disinfectant". I will bookmark it.

If a start-up stage company is just getting started on their AI/ML journey has budget for 3 FTE people. The company already has traditional ETL/BI expertise and a "DWH". Who would you hire (data scientist, ML engineer, Dat Engineer) and how would you allocate the division of responsibilities?

1. Depending on your application, the end users can be from different target market/background. If that will be the case with your app, list down the top X markets and create a specific landing page which "talks" the language of the target market.

2. Cold-outreach, Find your ideal target customers on LinkedIn/Twitter, google them, message/email them on social media (lead finding tools) and ask for help. Be willing to offer to pay them for 10-15 minutes of their time. At least a few will help without asking for money.

3. Assuming what you are selling is described on a landing page (doesn't have to be), you can do a user test by asking questions to consumers using survey tools) the goal is find out if users understand what you are trying to sell (clarity of message, trustworthiness)

You can use tools like Survey Monkey, Google Surveys, even Facebook ads.

here are a couple of examples of a purpose-built tool for feedback called ninjafeedback:

https://ninjafeedback.com/simple-survey-tool

also, looked at Snowflake's most recent quarterly results. They spent over $1.7 million/day in sales & marketing.

@legg0myegg0 thanks for bringing up Dremio. Can Dremio connect with different databases RDBMS, Kafka, DataLake PRC file formats? Is the use case limited to certain data stores? Is the use-case primarily a united query engine (so that the code remains consistent across DB engines) or is the use case query acceleration?

@gwittel, appreciate you sharing your insights. Will you be able to elaborate on "RDBMS will have natural limitations"? Can you provide a specific example?

tqh, Sounds like you hit the nail on the head with your answer. Thank you very much for your insights.

@marklit,

Thanks for your insights. Great points on inertia and lack of big sales budgets. Agreed also on HDFC/data lake use cases with PQ files. However, regarding querying RDBMS, are you saying that Presto requires in ODBC/JDBC connectivity? Does Presto have an ability to connect with "native DB" drivers?

Serverless is great or it sucks are extreme viewpoints. Reality is somewhere in the middle. For some specific use cases, (image manipulation, Alexa skills, etc.) serverless is fantastic. Dealing with persistent storage and DBs is challenging. But continues to evolve.

Managing server fleets and keeping them patched is no small feat. How much of the productivity can we gain if we didn't have to do all that with serverless? It's not possible for all use cases today. But can we move from say less than 5% of the use cases today to say, 40-50% of the use cases in another 5 years?

if you are doing customer reporting, sooner or later you will need these two priority things ( more so than charting features) 1. Delegated authentication ( think Okta) 2. Fine-grained row-level security to slice the same data in the report based on authorization.

We have had good experience with Tableau but had to do some custom Rest API programming for #1 .. Feel free to PM

What are the limits of using Workers KV on different plans including the free tier?

@newfilter, please try this URL. You don't need to fill out a sign-up form. Just enter your email here and you are good to go. https://app.ninjafeedback.com/productselect The account is created at checkout ( you can create a free test, so there is no need to enter CC)

As a developer I often needed to refine marketing pages, copy, designs etc for various side hustles. Getting feedback from people whose native language is English is especially important if you are targeting your product/service to that audience. This can be challenging unless you already have a large audience.

Ninjafeedback can you help to get feedback from American consumers in minutes.

You can test landing pages, taglines, logo designs, or just run open-ended or multiple choice surveys. All the responses come with detailed demographics and presented in in an interactive format.

You can create a test and invite a colleague or a friend for free. Responses from our panel ( mturk) cost less than $1.