What's Next in GCP for us in 2022?

In this post , I will mention many things news that were announced in Next 2022 for the profiles data engineers ,data sciences and devs.

What’s next for data analysts and data scientists?

Google Cloud try to answer 3 important questions How can I manage data complexity?

- BigLake unifies customer data by removing silos , risk and cost.Now it support Apache Iceberg.
- BigQuery support for unstrutured data.Now it can store , manage , process all type of data at global scale.

How can I apply AI with a skills gap? With Vertex Ai, you can work 5 TIMES faster. It has 5 components :

- BigQuery ML: Simple way to prepare the models. Now can work with unstructured data
- AutoMl: Custom model getting great accuracy and precision using own data.
- Tabular Workflows: If you want more control over ml .
- Custom Training
- Vertex AI Vision:
    - Reduce time to build computer vision applications from
days to minutes at one tenth the cost of current offeings

How can I scale with confidence?

- Dataplex : Innovations for data lineage , queality , policy management.
Is fully integrated with bigLake.
- Vertex AI pipelines takes ml Ops to the next level.
with serverless orchestation and automation of your ml workflows.