Orchestrating Data Assets with Dagster, Enhancing Productivity with AI, and Companies Hiring Data Engineers

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4 min readNov 4, 2022

An Introduction to Orchestrating Data Assets with Dagster

In this post, we’ll introduce Dagster and demonstrate how to use it to build a quick but realistic data pipeline.

How Data Science is Influencing Our Everyday Lives on Social Media

Most of us use social media every day. But when we dive into it, how does data science impact our daily online routines?

3 Ways to Enhance Productivity with AI

Whether working as a business analyst, data scientist, or machine learning engineer, one thing remains the same — making an impact with data and AI is what really matters.

Organizational Approaches to Enabling AI Governance

Consumers and practitioners alike have been calling for accountability and responsibility across AI system development and usage, and these are a few steps you can take to achieve AI governance.

Four Reasons the Data Science Development Experience Sucks

Here are 4 reasons that data science development tools suck, and a roadmap for how to fix it with ease.

These Companies are Hiring Data Engineers Right Now

Spanning industries like healthcare, biopharma, eCommerce, consulting, and more, these companies are currently hiring data engineers.

Google and GiveDirectly Use AI to Provide Cash Assistance to Victims of Hurricane Ian

Google and nonprofit GiveDirectly have teamed up and are using AI to help victims of Hurricanes Ian and Fiona with emergency cash payments.

Students Have Figured a Way to Have AI Do Their Homework

No longer is a hungry dog an excuse, as some students have turned to AI to do their homework for them with surprisingly good results.

IBM & Meta Keynote the TechCrunch x iMerit ML DataOps 2022

Join 2,000+ data scientists, engineers, and ML professionals virtually at the ML DataOps Summit on Nov. 8 to hear from leaders at the forefront of deploying ML DataOps solutions that power machine learning and artificial intelligence. Don’t miss speakers from Microsoft, Meta, DoorDash, Salesforce, Zoox, Waymo, Capital One, Glassdoor, Qualcomm, and more! Register for Free.

Introduction to Oracle MySQL HeatWave on AWS

November 10th, 2022, 9AM PST

Oracle announced in September that MySQL HeatWave is available on Amazon Web Services (AWS). In this session, you will learn how MySQL HeatWave on AWS provides a single database service for OLTP, OLAP, and machine learning. See how MySQL Autopilot has been enhanced for OLTP to provide far superior performance than Amazon Aurora. Learn about the new interactive query console and new differentiated security features that have been introduced in the service. Register for free here.

Upcoming Webinars:

Overcoming Challenges of Movement Data Quality to Enable High-Fidelity Use Case

Tue, Nov 8, 2022, 12:00 PM — 1:00 PM EST

Getting movement data right is hard. When businesses get location wrong, they lose customers’ trust, delivering suboptimal experiences and irrelevant information. For this reason, it is critically important to get movement data right, while preserving consumer privacy. Join us for a webinar where Gabriel Durkin, Director of Data Science at Foursquare, will share practical guidance for overcoming challenges of movement data quality.

“Build a Career in Data Science” — an Interview with Emily Robinson

Weds, Nov 9, 2022, 1:00 PM EST

You are going to need more than technical knowledge to succeed as a data scientist. “The Build a Career in Data Science” book whose co-author is Emily Robinson teaches you what school leaves out: from how to land your first job, to the lifecycle of a data science project, and even how to become a manager. Emily regularly gives talks across the country on A/B testing, programming in R, and data science careers.

Create Multi-Stage, NLP Pipelines Quickly and Easily Using Azure Cognitive Services

Thu, Nov 10, 2022, 12:00 PM — 1:00 PM EST

Most document processing applications will use more than one stage or AI Model. The ‘proof of concept’ phase can be time-consuming when trying to test various algorithms on your own data. This presentation aims to provide the guidance and resources to generate a multi-stage, cognitive pipeline in hours.

CI/CD for Machine Learning

Wed, Nov 30, 2022, 12:00 PM — 1:00 PM EST

In this talk, you’ll learn how to automatically allocate cloud instances (AWS, Azure, GCP) to train ML models, automatically shut the instance down when training is over, automatically generate reports with graphs and tables in pull/merge requests to summarize your model’s performance using any visualization library, and more.

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