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Snowflake Best Practices for Data Engineering

Perficient

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform This means that data can be truncated and reprocessed if errors are found in the transformation pipeline , providing data scientists with a great source of raw data.

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Top 8 IT certifications in demand today

CIO

You can select from several different versions of certification, including ones designed specifically for roles such as administrator associate, security engineer associate, solutions architect, IOT developer, data base administrator, data engineer, data analyst, AI engineer, and data scientist.

SCRUM 344
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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 67
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 50
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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Course 10
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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. This follows a 3% drop in 2018.