It appears like boom but many Skills will Converge in the next 5 years.
10 Years Back
Interesting Read - ML feedback
10 Years Back
- OLTP - Real-time
- OLAP - BI
- Real-time OLAP - Columnstore Databases - Vertica
- Data Aggregation - Across SQL, NoSQL, Data lake
- In-memory Real-time machine learning - Spark
- Data Science - Forecasting, Clustering, Anamoly, Churn, CLV, Recommendations - Built on top of Data lakes
- Features Stores - Evolving / Embracing products - Feast, Hopsworks
- Real-time analytics - Translytics (Microservices + Shard Data) - Newer forms of data store / Analytics
- Dockerized + Kubernetes + KfServing - Everything as API
- Leverage more analytics at every stage of data pipeline - KSQL (Kafka SQL, Spark ML
- Unified FeatureStores to access - Realtime, Trends, ML Features, More and more tools will automate everything
Interesting Read - ML feedback
Keep Thinking!!!
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