Future Technology
Data Engineering Technologies & Packages
Learn the essential tools to become a Data Engineer — programming, big data, cloud platforms, orchestration, monitoring and more — all with AI.
Programming Languages
PythonScalaJavaSQL
Big Data & Processing
Apache SparkHadoopFlinkHivePigStorm
Data Storage / Databases
Amazon S3GCSAzure Data LakePostgreSQLMySQLMongoDB
Data Warehouse
Amazon RedshiftBigQuerySnowflakeSynapseTeradataOracle
Data Ingestion / Integration
KafkaNiFiAWS GlueFivetranAirbyteTalend
Orchestration / Workflow
AirflowPrefectDagsterLuigiStep FunctionsOozie
File Formats
ParquetAvroORCJSONCSVXML
Stream Processing
Kafka StreamsFlinkStormDataflowKinesisAzure Stream Analytics
Data Transformation / ETL
dbtSpark SQLDatabricksAWS GlueTalendInformatica
Metadata & Catalog
Apache AtlasGlue CatalogGoogle Data CatalogAmundsenDataHubHive Metastore
Monitoring & Observability
PrometheusGrafanaDatadogApache AtlasMonte CarloGreat Expectations
Environments / Cloud
AWSGoogle CloudMicrosoft AzureDatabricksAzure DatabricksDataproc
Key Skills You Will Master
- 💻SQL & Programming (Python / Scala / Java)
- 📐Data Modeling & Database Design
- 🔄ETL / ELT & Data Pipelines
- 📊Big Data Technologies
- ☁️Cloud Platforms (AWS · Azure · GCP)
- 📡Monitoring, Testing & Optimization
- 🐳Docker, Kubernetes, Terraform, Git
- 📓Jupyter, PySpark, Pandas, NumPy