#Aws Data Engineering

AWS Concepts Roadmap #devopsvietnam #devopsvn #devops #devopsengineer #dev #laptrinh #laptrinhvien #tuhoclaptrinh #it #programming #code #softwarengineer #technology #aws #awsroadmap

Here's another data engineering project you can play around with: AWS S3 to Postgres (cloud to on premise data migration mini-project) #dataanalytics #dataengineering #datascience #techtok

Aise hi AWS seekhna hai toh follow karo re! 😂🔥 #AWSCloudClub #TalkingAWS #AWSinHindi #PuneTech

✅️ Data Pipelines on AWS, Microsoft Azure and GCP . Don't forget to save this post for later and follow @learnwithrockybhatia for more such information. . Hashtags ⬇️ #computerscience #programmers #html5 #css3 #javascriptdeveloper #webdevelopers #webdev #developerlife #coders #softwaredevelopment #python3 #pythondeveloper #devops #internetofthings #http #https #datascientist #database #systemdesign

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Follow @cloud_x_berry for more info #AWSBasics #CoreAWSServices #CloudComputing #AWSEngineer #LearnAWS Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, DynamoDB, Amazon VPC, IAM roles and policies, CloudWatch monitoring, Route 53 DNS, Elastic Load Balancer, Auto Scaling, API Gateway, AWS CloudFormation, AWS EKS, AWS ECS, SNS, SQS, AWS security best practices, high availability, cloud architecture fundamentals

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Become Pro in AWS in 10 steps👇 Step.1 Basic of AWS What is Cloud Computing? AWS Cloud Benefits What is AWS? Applications , Features of AWS Advantages and Disadvantages of AWS AWS vs Azure AWS vs Google Cloud Plateform(GCP) AWS vs Azur vs GCP Step.2 AWS IAM What is IAM? It's need? AWS SAML IAM Identities IAM Roles IAM Roles Use Cases Creating IAM Roles Step.3 AWS EC2 Concept AWS EC2 Intro AWS EC2 Instance Types AWS EC2 Pricing AWS EC2 Scaling AWS EC2 Auto Scaling Elastic Beanstalk EKS (Elastic Container Service for Kubernetes) AWS Elastic Load Balancing AWS EBS LightSail Creating an EC2 instance EBS Volume Security Group Creating an AMI AWS Load Balancing Creating Load Balancer AWS Lambda Creating a Lambda CloudWatch EC2 AWS Bash Script Step.4 AWS Storage Services AWS S3 Amazon Glacier Amazon Elastic Block Store (EBS) Creating S3 Bucket AWS Storage Gateway AWS Storage Classes AWS Versioning Cross Region Replication Lifecycle Management CloudFront CDN Creating CloudFront CDN Storage Gateway AWS Snowball S3 Transfer Acceleration Step.5 Migration and Security Services DMS (Database Migration Service) SMS (Server Migration Service) Snowball IAM Inspector Certificate Manager WAF (Web Application Firewall) Cloud Directory KMS Organizations Shield Macie Step.6 AWS Database Services Relational Database Non-Relational Database AWS Elasticache Creating an RDS Instance AWS DynamoDB AWS Aurora AWS Redshift Neptune Step.7 Analytics and Management Services Athena CloudSearch ElasticSearch EMR Kinesis QuickSight AWS Auto Scaling Data Pipeline CloudWatch CloudFormation CloudTrail OpsWorks Config Service Catalog Managed Services Systems Manager Step.8 AWS Application Services AWS SQS AWS SWF AWS SNS Elastic Transcoder API Gateway AWS Kinesis Step.9 AWS VPC AWS VPC Creating your own custom VPC Direct Connect NAT Gateways AWS Bastion Host AWS VPC Endpoints , FlowLogs AWS NACL NACL vs Security Group AWS Data Pipeline Step.10 AWS Developer Tools CodeStar CodeBuild CodeCommit CodeDeploy #softwareengineering #aws #cloud #cloudcomputing #azure #devops #technology #python #amazonwebservices #linux #amazon #programming #awscloud #cybersecurity #coding #googlecloud

In my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and “works on my machine” chaos. These 4 tools fixed that: • dbt → modular, documented SQL transformations • Polars → faster, cleaner alternative to pandas • FastAPI → quick, reliable model deployment • Docker → consistent environments, no more deployment nightmares If you’re just starting out, learning these early will save you months of frustration.

Some of the most important technologies to boost your portfolio are really hard to get hands-on with. AWS Direct Connect is a perfect example. It’s how you send traffic between your on-prem workloads, data centers, and AWS. But testing isn’t easy if you don’t have the right infrastructure or credentials set up, and it can also be a potential risk if you don’t do it in a sandbox. It’s not something you can just spin up on your laptop. So how are you supposed to learn? You don’t want your first time touching it to be in production with real workloads. You need a clean slate You need a walled garden You need zero risk to live services Megaport is hosting a live lab with AWS this Thursday!! You’ll get access to a private Direct Connect environment during the session. You’ll be able to: - configure & validate secure site-to-site VPN tunnels - manage multi-VPC connectivity via Transit Gateway - implement AWS Direct Connect with DXGW/TGW Register for the webinar with the link in my bio 🔗 See you there 🥳 P.S. how do you normally lab with AWS? #networkengineer #cloudengineer #workingintech #informationtechnology #aws

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