Shahanaz | Data Engineer | Cloud Enthusiast

Transforming data into insights | Data Engineer & Analyst | Azure, Databricks, SQL, Power BI | Cloud | Big Data Enthusiast | Always learning #DataEngineering

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@firstpost @palkisu A 60-year-old is legally considered fully aware of the consequences of throwing boiling water.
Is this called take care just imagine how the behaviour of her in other scenarios

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@firstpost @palkisu Why don’t you cover story on women pouring hot water on child in Nagpur
It so disturbing

The hesitation of the parents is often driven by societal pressure or "guilt," but the medical reality is that the child will likely face a lifetime of skin grafting and trauma therapy.

[Sahn Lam @sahnlam]

Understanding the Linux File System Layout

[sysxplore @sysxplore]

Bash Scripting basics: Understanding (), {}, [], $(), $(()), ${}, and [[]]

[Govardhana Miriyala Kannaiah @govardhana_mk]

Many DevOps Engineers don’t fully understand a Terraform project structure or the role each part plays.

Here, I’ve broken it down to help you better understand.

Note: it's recommended to place modules in a central repo.

45K+ read my TechOps Examples newsletter: https://t.co/WBucLdwLhJ

What do we cover:
DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

🔁 Consider a Repost if this is helpful

[Shalini Goyal @goyalshaliniuk]

System Design for Real-Time AI Applications

Mastering real-time AI isn't just about fast models, it’s about the entire system working together seamlessly! Here's a breakdown of the 10 core components you need to know:

1. Stream Processing
Processes live data continuously, enabling instant analysis and response within seconds.

2. Real-Time Inference
Makes predictions immediately on new incoming data to deliver fast, updated results.

3. Event-Driven Systems
Automatically triggers actions when events occur, keeping AI systems reactive and scalable.

4. Data Queues
Organizes and stores incoming data temporarily so systems can process it smoothly without overload.

5. Monitoring and Alerting
Tracks system and model health, sending alerts if issues arise to maintain performance.

6. Auto-Scaling
Dynamically adjusts computing resources based on real-time demand to optimize costs and efficiency.

7. Low-Latency Serving
Delivers AI outputs within milliseconds - ideal for live gaming, trading, and instant-response apps.

8. Real-Time Feature Engineering
Transforms incoming raw data into usable features instantly for AI models to stay updated.

9. Model Optimization
Shrinks and simplifies AI models for faster and more efficient real-time processing.

10. Edge Computing
Runs AI models close to the data source (like IoT devices) to reduce delay and save bandwidth.

⚙️ Building real-time AI applications is about combining all these pieces into a high-speed, low-latency, resilient system!

📌 Save this if you're working on AI systems and follow me @goyalshaliniuk for daily insights.

[Jesse--The Data Guy @Mbadiwejesse]

MYSQL Cheat Sheet.

[Govardhana Miriyala Kannaiah @govardhana_mk]

Cloud Load Balancer Cheat Sheet 👇

Choosing the ideal cloud load balancer is complex due to diverse offerings, demanding use cases, and the need for deep understanding

This Cheat Sheet simplifies the selection process, ensuring confident navigation of complexities

Note:
This doesn't cover all use cases, I acknowledge there are various possible combinations for the discussed use cases.

45K+ read my free newsletter: https://t.co/WBucLdwLhJ

What do we cover:
DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

🔁 Consider a Repost if this is helpful

[Mike Hudema @MikeHudema]

This NASA visualization shows the CO2 emitted into the earth's atmosphere + clarifies who is responsible for the climate crisis: we, the Global North.

There is not time to wait. #ActOnClimate

#climate #energy #renewables

[Tech Fusionist | Kushal Gangil @techyoutbe]

Docker & Kubernetes (How to start) 🔥🔥

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

“With the rise of Data Mesh and Data Lakes in the cloud, it’s fascinating to see how data engineering practices are evolving. Excited to see where the industry will be in the next 5 years. #DataEngineering #DataMesh #DataLakes #FutureTech”

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

Becoming an Azure Data Engineer (Quick Guide) 📊

Microsoft Azure provides a plethora of services, but as a Data Engineer, you'll only need to master a select few that are essential for your data workflows.

🔍 Azure Services for Data Engineers:

✅ Azure Blob Storage:
Object storage on Azure is where you'll store all your raw data—everything from text files to large video files, making it the foundation for your data operations.

✅ Azure Data Lake Storage (ADLS):
Azure has a service, especially for building Data Lake, Highly scalable and secure data lake functionality built on Azure Blob Storage. It is optimized for large-scale analytics workloads.

✅ Azure Data Factory:
Need to build ETL (Extract, Transform, Load) processes? Azure Data Factory is a serverless integration service that lets you create data-driven workflows for orchestrating and automating data movement and data transformation.

✅ Azure Synapse Analytics:
Once your data is processed, where should it go? Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.

✅ Azure HDInsight:
For those who are already using Hadoop or Spark on-premises and are considering a move to the cloud, HDInsight offers a fully managed cloud service that makes it easy to handle massive amounts of data.

✅ Azure Functions:
If you need to run small pieces of code triggered by events, Azure Functions is your go-to. This serverless compute service helps you run event-triggered code without having to explicitly provision or manage infrastructure.

✅ Azure Databricks:
A powerful platform for big data analytics, Azure Databricks provides a collaborative Apache Spark-based environment that integrates seamlessly with other Azure services.

✅ Azure Stream Analytics:
For real-time data processing needs, Azure Stream Analytics is perfect. It allows you to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, websites, social media feeds, and other data streams.

✅ Azure Data Migration Service:
If you're tasked with moving databases to the cloud, Azure Data Migration Service simplifies the process. It's a fully managed service that streamlines the migration of your data to Azure data services.

✅ Azure Cosmos DB:
A globally distributed, multi-model database service. Excellent for adding real-time operational analytics to your applications.

✅ Azure Data Fabric:
For managing and securing data across various sources, Azure Data Fabric provides a unified data layer that ensures consistent data access and management across your enterprise.

Did I miss anything? Let me know 👇🏻

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@Safety Hi @Safety, Today I got this message: "We’ve added a temporary label to your account which may impact its reach." But I have 0 followers I created last week and only sent DMs and replies to @LinkedInHelp only for seeking help. Now deleted some replies after this Flag.
please help

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@LinkedInHelp @ssssjayaraj @LinkedInIndia @LinkedIn Same Here Please get back to me I sent a many DMs and post.

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@LinkedInHelp @LinkedInHelp It’s being about 3 weeks that I am waiting for someone from LinkedIn team to assist me as replied by Autogenerated mail. Sent Mails, submitted forms and Dms but got response. I can’t access my account.

[Always Keep Learning @AlwaysKeepL]

How to lead when you're not in charge

[Nicolas Boucher @BoucherNicolas]

My top Excel formulas

Here are my go-to Excel formulas:

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@LinkedInHelp Hi
I am unable to access my account from 2 weeks. LI is crucial for applying jobs. Created newly within two days it loss access. I had even sent the ID. I have tried all possible way I know, if there are any please let me know and sort my issue. Thank You

[Shahanaz | Data Engineer | Cloud Enthusiast @URShannus]

@LinkedInHelp @NourM81 Hi @LinkedInHelp I am unable to access my account. Please assist ASAP. I sent DM about it.