As a data analyst, it's important to ask the right questions to generate key insights that will eventually help stakeholders to make business decisions and drive organisation towards being data-driven.
But what exactly are these questions? find out in this latest edition of the MDS Newsletter👇
Featured tools of the week
- Sifflet is a full data stack observability platform delivering actionable insights and helping organisations manage data quality monitoring at scale. Sifflet relies on AI to deliver intelligent data monitoring, that gives an overview of the state of your data and alerts your teams when your quality criteria aren’t met.
- Sigma Computing is a cloud analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen. It reinvented the business intelligence category by empowering business users to explore live data and collaboratively build models and dashboards.
Sigma Computing has raised a total of $381.3M in funding over 6 rounds. Their latest funding was raised on Dec 16, 2021 from a Series C round.
Featured stack of the week
- Mantra Health is a digital mental health clinic on a mission to improve young people's mental healthcare access through clinical services, software, and design.
Here's how they have organised their data stack.
If you want us to feature your data stack, publish it here.
Good reads and resources
- Features are not just for Data Scientists: Josh Berry shares his personal story as to how he and his team built a 'Feature Store', which was later called 'Rosetta', back in a day when the term didn't even exist. He shares how his master SQL script joined 20+ tables and gave about 150+ features right off the bat which later scaled to 400. The analyst in the company was able to get quick insights and helped in changing the whole company's data culture. Josh pens down his interesting journey and shares some of the key lessons he learned along the way.
- The Rise of DataOps: Companies are ingesting data more than ever and the race to become a 'data-first' organisation seems to be never-ending. And to add to that problem traditional data management doesn't seem to work well and the result is absolute data chaos. So the question arises what's a way out? And the answer is DataOps.
In this in-depth article, Prukalpa explores - How DataOps is not a tool or a product that a company can buy rather it's a mindset or a culture. It is about bringing a diverse data team together and helping them work with a different set of technologies and help these teams to work toward better data management.
- Getting Started with Data Observability: In an ideal world more data means more business insights that can lead to better decision-making. But in reality, it doesn't work that way. More complex data infrastructure can cause decreased data quality, a higher chance of data breaking, and consequently erosion of data trust within organizations and risk of not being compliant with regulations. Data observability solves these challenges and helps organisations build trust in their data. This category of modern data stack is relatively new but has a great potential to solve the data quality issues that organisations face. With this article Benedetta will help you understand what data observability is, its fundamentals, use cases, how can a company adopt its practices and what should you look for in a data observability platform.
If you have an interesting blog that you would like us to share with the data community, submit it here.
VDP - Open source visual data ETL for developers
Be a part of all the thoughtful discussions here.
Upcoming data events, summits, and webinars
- Modal Learning is hosting a webinar on 'Leading with Data Literacy' on 25th August at 11 AM PST.
Join the webinar to learn how leaders can build a data-driven organization for a bigger impact. Jordan Morrow VP, Head of Data & Analytics, BrainStorm Inc will share insights on how you can build and lead a more data-driven organization.
Register for the event here.
- Hightouch is hiring a 'Data engineer / Data advocate'
Stack: Hightouch, dbt, Fivetran, Snowflake and Hex
- Embold health is hiring a 'Director of Data Engineering'
Location: United States
Stack: Databricks, dbt
- Workstream is hiring a 'Senior Data Engineer'
Location: Vancouver, Canada
Stack: Snowflake, Fivetran, Tableau
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What do you think about our weekly Newsletter?
If you have any suggestions, want us to feature an article, or list a data engineering job, hit us up! We would love to include it in our next edition😎
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