Y42

We relaunched our product, we revamped our brand. But why did this happen? Our CEO Hung shares why a #ModernDataOpsCloud was necessary to solve the challenges in the data space. Learn more about Y42's changes here: y42.com/blog/why-first… youtu.be/wDR02B8x0z8

𝐖𝐞'𝐫𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐮𝐧𝐯𝐞𝐢𝐥 "𝐏𝐲𝐭𝐡𝐨𝐧 𝐈𝐧𝐠𝐞𝐬𝐭”, 𝐨𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐝𝐚𝐭𝐚 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬. With Python Ingest, you can: 🚀 implement custom ingestion logic, 🚀 remove boilerplate code to load data into your data warehouse, and 🚀 get standardized metadata, lineage, and documentation out of the box. Read on in our announcement post: y42.com/blog/announcin…

As we embrace the challenges and opportunities of 2024, it's crucial to stay ahead in the data world. We sat together with Madison Schott to discuss key industry trends and make 5 data predictions for 2024. 🔮 Read on in our blog post: y42.com/blog/5-data-pr…

We're introducing a new stateful, declarative approach for data pipelines. Ensuring auditable, simple, standardized code with full traceability and zero compute cost for changes. Read on here: y42.com/blog/stateful-…

Sharing some best practices for working with dbt and BigQuery. Hands-on insights from a data practitioner. Discussing relevant BigQuery functions, table partitioning, and materialization strategies. Check it out: y42.com/blog/dbt-bigqu…

Read our Founder's detailed announcement here: linkedin.com/posts/hung-dan…

Calling all data enthusiasts! 🧑‍💻 Say hello to Virtual Data Builds by Y42! Unify logical changes via Git, materialize code changes, and handle operational changes in a single structure - environment management for Data simplified! 💜 Detailed announcement in the comments.

Data teams keep making the same mistakes over and over again. Why is that? 🤔 Here’s our guess: ❌ Lack of reflection and learning ❌ Ineffective collaboration ❌ Inadequate documentation ❌ Failure to adapt to change Learn more here: y42.com/blog/data-team…

#Readoftheweek 🤓👇🏼 Poor data quality undermines all the time and effort you put into your work. ❌ Your systems don't matter ❌ How robust your pipelines are doesn't matter Learn more about the importance of #dataquality for #dataengineers here: y42.com/blog/data-qual…

Want to improve your company's #datagovernance program this year? 👉🏼 Check out our #readoftheweek to learn how you can implement data governance best practices into your day-to-day work: y42.com/blog/data-gove…

Thank you to everyone who joined our #webinar with @redsift and @googlecloud on the benefits of automating your data pipelines. 👉🏼 If you missed out on the webinar, you can watch the recording here: y42.com/event/data-ope…

Part of a data team's responsibility is improving a company's overall #dataliteracy. Start sharing #datacontent with business users, beginner data analysts, or anyone in between. Here's our pick for their perfect #readoftheweek: y42.com/blog/data-pipe…

Have we already mentioned that we have a #webinar coming up? 👀 ✅ Learn how to manage increasing data needs and requests. ✅ Learn how to automate your data infrastructure as your company grows. 👉🏼 Sign up here: y42.com/event/event-pa…

Do you know the difference between #datamanagement and #datagovernance? 👉🏼 Check out our #readoftheday to learn the differences, similarities, and use cases of data management and data governance: y42.com/blog/data-mana…

Looking for an insightful read to wrap up the week? 🤓 How about discovering the power of #Git workflows and branching strategies to #versioncontrol your #dataproducts? Check out our recommended #readoftheweek here: 👇🏼 y42.com/blog/version-c…

Discover the power of automated #datapipelines! Join Eliott Sacau (@redsift ), Jelena Mijuskovic (@Google ) and Ba Khai Tran (@y42dotcom ) in our upcoming #webinar! 👉🏼 Sign up here: lnkd.in/eXMaE5Nx

Here’s a step-by-step guide on how to build production-ready #datapipelines. 👇🏼

Here are 3 steps to follow if you want to implement #dataownership within your organization.👇🏼 1️⃣ Get an overview of all your data assets by making an inventory 2️⃣ Determine domain experts per data asset 3️⃣ Implement a data catalog for better traceability

👇🏼 This is what you need to do to avoid not knowing when a data model failed. 👇🏼 Test intermediate and core models too! 💡 If you don't, you let errors pass onto your final model and have to check all previous models to identify the culprit. 🫠 #datatesting #datamodeling

Types of #datagovernance frameworks: ✅ Command and control framework ✅ Traditional framework  ✅ Non-invasive framework  Which one should you choose? That will depend on your company goals and team structure.

Here are the 6 key benefits of #datamonitoring.👇🏼 1️⃣ Faster debugging and minimized inconsistencies 2️⃣ Increased business efficiency 3️⃣ Stable and standardized data pipeline 4️⃣ Faster retrieval of actionable data 5️⃣ Reduced data preparation time 6️⃣ Cost-effectiveness