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2026-yilda Data Engineer bo'lish uchun bosqichma-bosqich qo'llanma

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Data Engineer
Dastlabki talablar
Ma'lumotlar tahlili uchun Python
SQL yo'l xaritasi
Tegishli yo'l xaritalari
  • AI va Data Scientist yo'l xaritasi
  • BI Analyst yo'l xaritasi
  • Data Analyst yo'l xaritasi
Kirish
Data Engineering nima?
Data engineering va data science
Ko'nikmalar va vazifalar
Data Engineering Lifecycle
To'g'ri texnologiyalarni tanlash
Dasturlash ko'nikmalari
Python
Java
Scala
Go
Python tavsiya etiladi
Ma'lumotlar tuzilmalari va algoritmlar
Git va GitHub
Linux asoslari
Networking asoslari
Distributed system'lar asoslari
Data Generation
Data Storage
Data Ingestion
Data Serving
Data Engineering Lifecycle
Turli bosqichlarni tushuning
Ma'lumotlar manbalari
Ma'lumotlar bazasi
APIs
Logs
Mobil ilovalar
IoT
Ma'lumot yig'ish g'oyalari
Ma'lumotlar bazasi asoslari
Data Normalization
Data Modelling Techniques
CAP Theorem
OLTP va OLAP
Slowly Changing Dimension
Horizontal va vertical scaling
Star va snowflake schema
Relational Databases
SQL'ni o'rganing
Indexing
Transactions
Relyatsion ma'lumotlar bazalari
MySQL
PostgreSQL
MariaDB
Aurora DB
Oracle
MS SQL
NoSQL Databases
Document
MongoDB
ElasticSearch
CosmosDB
CouchDB
Column
Cassandra
BigTable
HBase
Graph
Neo4j
Neptune
Key-Value
Redis
Memcached
DynamoDB
Data Warehouse nima?
Data Warehouse Architectures
Data Warehouse
Google BigQuery
Snowflake
Amazon Redshift
Data Mart
Data Lake
Databricks Delta Lake
Snowflake
Onehouse
Data Mesh
Boshqa ma'lumotlar arxitekturalari
Data Fabric
Data Hub
Metadata-first Architecture
Serverless Options
Cloud Computing
Cloud Architectures
Bulut provayderlari
AWS
Amazon EC2 ( Compute)
S3 (Storage)
Amazon RDS (Database)
Glue (ETL)
Azure Virtual Machines
Azure Blob Storage
Azure SQL Database
Data Factory (ETL)
Azure
Compute Engine (Compute)
Google Cloud Storage
Cloud SQL (Database)
Dataflow
Google Cloud
Data Ingestion turlari
Batch
Hybrid
Realtime
Data Pipelines
ETL jarayoni
Extract Data
Transform Data
Load Data
Pipeline vositalari
Apache Airflow
dbt
Luigi
Prefect
Cluster computing asoslari
Cluster Computing nima
Distributed File Systems
Job Scheduling
Cluster Management Tools
Kubernetes
Apache Hadoop YARN
HDFS
Big Data Tools
Hadoop ekotizimi
HDFS
MapReduce
YARN
Apache Spark
Container'lar va orchestration
Docker
Kubernetes
Google Cloud GKE
AWS EKS
CI/CD
GitLab CI
Circle CI
GitHub Actions
ArgoCD
Monitoring
Prometheus
Datadog
Sentry
New Relic
Testlash
Integration Testing
Unit Testing
End-to-End Testing
Functional Testing
A/B Testing
Load Testing
Smoke Testing
Messaging Systems
Ular nima va nega kerak?
Async va sync communication
Message'lar va stream'lar
Best Practices
Keng tarqalgan vositalar
Apache Kafka
RabbitMQ
AWS SQS
AWS SNS
Infrastructure as Code - IaC
Declarative va imperative
Idempotency
Reusability
Environmental Management
Keng tarqalgan vositalar
Terraform
OpenTofu
AWS CDK
Google Deployment Mgr.
Data Analytics
Business Intelligence
BI vositalari
Microsoft Power BI
Streamlit
Tableau
Looker
Reverse ETL
ETL va Reverse ETL
Reverse ETL Usecases
Vositalar
Census
Segment
Hightouch
Authentication va authorization
Encryption
Tokenization
Data Masking
Data Obfuscation
Data Quality
Data Lineage
Metadata Management
Data Interoperability
Data Quality
GDPR
ECPA
EU AI Act
Quyidagi tegishli yo'l xaritalarini ham ko'rib chiqing
Python
AI va Data Scientist
SQL
Ma'lumotlar va AI bo'yicha qonunchilik
Data Analyst
MLOps
Ushbu yo'l xaritasining batafsil versiyasini va boshqa shunga o'xshash yo'l xaritalarini toping
roadmap.sh
Asoslarni o'rganing
Data Generation
Data Storage
Data Warehousing
Data Ingestion
Data Serving
Xavfsizlik
Data Analyst
Data Governance va maxfiylik

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