We also launched instagram about Surfalytics lifestyle https://www.instagram.com/surfalytics/
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Can you please like https://www.linkedin.com/posts/dmitryanoshin_surfalytics-dataengineering-machinelearning-activity-7133870493647978498-Ryla?utm_source=share&utm_medium=member_desktop
Linkedin
🏄♂️ Dmitry Anoshin on LinkedIn: #surfalytics #dataengineering #machinelearning #ml #dataanalytics
What is the role of a Data Engineer in a ML Project?
This topic is heavily debated and often misunderstood. Some engineers believe they need to learn ML…
This topic is heavily debated and often misunderstood. Some engineers believe they need to learn ML…
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We had another Saturday for #dataengineering and #analytics projects at Surfalytics. First of all, we tried new Microsoft #Fabric and built end-to-end solutions with #lakehouse, hashtag #powerbi data model, data pipeline and dashboard.
Next, we learnt about the #synapse analytics and compared it to the Fabrics and learnt pros and cons. For the Synapse Analytics we dived deep into the Dedicated SQL Pool, Serverless SQL, Spark Pool and had hands on with hashtag #sql and #pyspark. We also discussed the difference between Azure Synapse and AWS/GCP offerings.
Apart from Azure analytics products, we had another project at the same time with classic tools such as #snowflake, #fivetran and #dbt. The goal was to ingest data with Fivetran and build dbt models.
As usual we had productive discussion about job markets, salaries and hiring managers expectations as well as best practices for killer CV and overall interview process across North America, Europe and APAC regions.
Next Saturday, we will practice something new. We are planning, do add #docker, #airflow and #looker for Snowflake/dbt/Fivetran as well as start new project with #meltano and #duckdb
The bottom line is that you can spend time to enjoy the weekend or you can gain new skills and knowledge and be more competitive on current job market. As soon as you stop learning new stuff, you start to losing your market value. The primary competitor for #surfalytics is #netlfix, #xbox, #playstation and so on. You decide how you spend you time.
Next, we learnt about the #synapse analytics and compared it to the Fabrics and learnt pros and cons. For the Synapse Analytics we dived deep into the Dedicated SQL Pool, Serverless SQL, Spark Pool and had hands on with hashtag #sql and #pyspark. We also discussed the difference between Azure Synapse and AWS/GCP offerings.
Apart from Azure analytics products, we had another project at the same time with classic tools such as #snowflake, #fivetran and #dbt. The goal was to ingest data with Fivetran and build dbt models.
As usual we had productive discussion about job markets, salaries and hiring managers expectations as well as best practices for killer CV and overall interview process across North America, Europe and APAC regions.
Next Saturday, we will practice something new. We are planning, do add #docker, #airflow and #looker for Snowflake/dbt/Fivetran as well as start new project with #meltano and #duckdb
The bottom line is that you can spend time to enjoy the weekend or you can gain new skills and knowledge and be more competitive on current job market. As soon as you stop learning new stuff, you start to losing your market value. The primary competitor for #surfalytics is #netlfix, #xbox, #playstation and so on. You decide how you spend you time.
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