Eran Strod

Currently at startup consulting "DataOps Cookbook" and “Recipes for DataOps Success.”
#UCSC #Northeastern

[Eran Strod @EranStrod]

Blue Link Associates, a leading provider of #pharma ERP software, has teamed up with Gateway Checker, a well-established provider of Pharma traceability software that enables conformance to GS1 application standards and DSCSA compliance.   #dscsa

https://t.co/ztUEZfgue4

[Eran Strod @EranStrod]

@BlueLinkERP , a leading ERP software vendor, has teamed up with Gateway Checker, a well-established provider of pharmaceutical traceability software that enables conformance to GS1 application standards and DSCSA compliance.   #dscsa

https://t.co/iu7VIPZ7S7

[Eran Strod @EranStrod]

The case for #DataOps Kitchens elegantly summarized by Winston Thomas.
https://t.co/VLSVEz2tBN
@CDOTrends @datakitchen_io

[Eran Strod @EranStrod]

What happens at the sales conference stays at the sales conference -- Go-to-Market plans don't last a week out in the wild. @fullcast_io
https://t.co/SFDtyMYKbW

[Eran Strod @EranStrod]

“Equity as code” enforces equity in AI applications by continuously testing, deploying, and mon­itoring models
@dbtrends @datakitchen_io @ChrisBergh #EquityAsCode #DataOps
https://t.co/0yCeINMgz0

[Eran Strod @EranStrod]

@bignonotation @ChrisBergh @benghiat From the #DataOps Manifesto: https://t.co/1voa2N4Dg7
@datakitchen_io

[Eran Strod @EranStrod]

Which is more important to an enterprise? #DataOps @datakitchen_io

[DataKitchen IO @datakitchen_io]

📚🎁 2️⃣0️⃣2️⃣1️⃣ Gift Giving Guide for #DataNerds 🎅‍🎄

8️⃣ The #DataOps Cookbook: Methodologies & Tools That Reduce Analytics Cycle Time While Improving Quality, by @benghiat, @ChrisBergh & @EranStrod

6/6

https://t.co/D9uCF5VkI5

[Eran Strod @EranStrod]

The hottest 🔥 new role in #data #analytics

[DataKitchen IO @datakitchen_io]

What's a #DataOps Engineer? Does your team need one? 👉 https://t.co/yOBRJq40gc

🐍 Scripting Language: Python, Bash
🛢️ Data Language: SQL
🌿 Source Code Control: git
👨‍🍳 DataOps Tool: DataKitchen
🐳 DevOps Configuration Tool: Terraform, Puppet, Docker/K8s
🔹 Process Skills: Agile

[DataKitchen IO @datakitchen_io]

🏎️🏁 Start #DataOps Today w/ #LeanDataOps 👉 https://t.co/FhXB6z01MC

🏭 Production DataOps: Lower Production Data Errors
🏗 Development DataOps: Reduce Cycle Time & Increase Productivity
📏 Measurement DataOps: Measure & Improve Performance
🌐 Enterprise DataOps: Lasting Change

[DataKitchen IO @datakitchen_io]

#DataOps assists w/ #DataMesh process & workflow to

1️⃣ Automate shared services preventing duplication of teams' effort

2️⃣ Address complexity associated w/ domain inter-dependencies

3️⃣ Strike the right balance b/w central & local domain independence

https://t.co/tGS6R5N8uT

[ExperTech Insights @ExperTechInsght]

@datakitchen_io describes in https://t.co/Qq4n7aZml1 how DevOps and DataOps differ #SystemDesign #SystemArchitecture

[Chris Bergh @ChrisBergh]

This is trending on Hacker News Today ... does it apply to #DataOps?

"12. People don’t really want innovation

.. If you truly innovate, and change the way that people have to do things, expect mostly negative feedback. ... "

https://t.co/sCFOLEBhFe

[Eran Strod @EranStrod]

The data mesh design pattern is not new from a technology or architectural perspective. The main thing that people misunderstand about #datamesh is that it is a powerful "process" innovation.

[DataKitchen IO @datakitchen_io]

🕸️ Implementing a Pharma Data Mesh Using DataOps 👉 https://t.co/hrhzpqOeSO

🔪 An example of domain partitioning
🍰 Domain layer processing steps
🗣️ Inter-domain communication ports/access points

#DataOps #DataMesh #Pharma #Pharmaceutical

[Eran Strod @EranStrod]

If Jean-Paul Sartre were a data engineer. "Everything has been figured out except how to live and what a 'data fabric' is."
https://t.co/fSED46QMgP
@datakitchen_io

[Eran Strod @EranStrod]

The infrastructure ingredients required by domains can be unified into a self-service infrastructure-as-a-platform managed using a #DataOps superstructure. DataOps is the perfect partner to #datamesh.

[DataKitchen IO @datakitchen_io]

🥴 Use #DataOps w/ Your #DataMesh to Prevent Data Mush 👉 https://t.co/tFYVVsxtJF

🎧 Data Mesh media streaming example
🆚 Data mesh's pros & cons
💪 How @datakitchen_io's DataOps Platform addresses its challenges

Shoutout to @thoughtworks' @zhamakd's thought leadership!

[Eran Strod @EranStrod]

#DataOps combines with #DataMesh to foster greater innovation while addressing the challenges of a decentralized architecture.

[DataKitchen IO @datakitchen_io]

Addressing Data Mesh Technical Challenges with DataOps 👉
https://t.co/GX35ZACkbB

Learn how #DataOps enables a #DataMesh's domains to be composable & controllable by automating a domains' development and operations processes.

[Eran Strod @EranStrod]

#DataOps leaders simultaneously master data architecture centralization and decentralization.

[DataKitchen IO @datakitchen_io]

🔬👩‍🔬 Learn how #pharmaceutical companies are using #DataOps to accelerate & streamline drug development as a competitive advantage 👉 https://t.co/imqHhqy1tb

#DataOperations #Pharma #Pharmaceuticals

[Eran Strod @EranStrod]

A #dataengineer promoted to management has to make the transition from thinking about bottlenecks in #data pipelines to bottlenecks in team processes and workflows. #DataOps @datakitchen_io

[Eran Strod @EranStrod]

A simple explanation of #DataMesh for #data professionals

[DataKitchen IO @datakitchen_io]

🕸️ Orgs w/ a #DataMesh have:

👥 5-9 FTE data team / domain
🛠️ Team owns domain's dev, test, deployment, monitoring & maintenance
📦 Domain data assets, artifacts & related services are the product
🛍️ Data consumers are customers
🧠 Team knows domain data

https://t.co/k4SxFeCKBN