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Dataflow product in Google Cloud is mandatory for advanced data processing pipelines for machine learning solutions.
It performs typical data engineering tasks by allowing same code to execute both batch and streaming.

Dataflow for ML Engineers in Google Cloud

Dataflow product in Google Cloud is mandatory for advanced data processing pipelines for machine learning solutions. It performs typical data engineering tasks by allowing same code to execute both batch and streaming.

This is a summary of Google Cloud Platform (GCP) products relevant for Machine Learning Engineer role.
Google philosphy seems to be that moving to their platform requires minimal changes to the existing solution.

Machine learning products in Google Cloud

This is a summary of Google Cloud Platform (GCP) products relevant for Machine Learning Engineer role. Google philosphy seems to be that moving to their platform requires minimal changes to the existing solution.

Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.

Comparison of machine learning platforms in major clouds

Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.

A tutorial for parallel computation with Spark and Python. The example has been ran on AWS cloud computing platform.

Spark + Python tutorial for data developers

A tutorial for parallel computation with Spark and Python. The example has been ran on AWS cloud computing platform.

AWS Glue service works especially well for big data batch processing. Read the full post from data.solita.fi.

Introduction to AWS Glue for big data ETL

AWS Glue service works especially well for big data batch processing. Read the full post from data.solita.fi.

Read about Solita team's solution in a hackathon organized by Hiab. The task was to take advantage of data to maximize machine uptime.

Maximizing uptime in Hiab hackathon

Read about Solita team's solution in a hackathon organized by Hiab. The task was to take advantage of data to maximize machine uptime.

It's easy to spot these hype terms like data science, big data in LinkedIn or exhibition posters. I summarized the definitions.

Data science and business intelligence - Definitions

It's easy to spot these hype terms like data science, big data in LinkedIn or exhibition posters. I summarized the definitions.