Wed.Aug 17, 2022

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Real-Time Wildlife Monitoring with Apache Kafka

Confluent

Confluent Hackathon ‘22: Using Apache Kafka a Raspberry Pi, and a camera, Simon Aubury builds a detection and monitoring system to better understand wildlife population trends over time.

Kafka 116
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How to Avoid Overfitting

KDnuggets

Overfitting is when a statistical model fits exactly against its training data. This leads to the model failing to predict future observations accurately.

IT 114
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Reflections on Data Literacy for Financial Services Leaders

Teradata

In conversations with c-level execs at banks & financial institutions, one theme always crops up. How do we change our operating model to be more agile & customer focused in a digital first world?

Banking 98
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Implementing DBSCAN in Python

KDnuggets

Density-based clustering algorithm explained with scikit-learn code example.

Python 157
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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A Data Engineer’s Guide to Building Reliable Systems

Monte Carlo

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world. And these days, everyone seems to share a common concern: how do we make sure the data we rely on to make all of our important business decisions is actually reliable?

Systems 52
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How CoRise Helped Ben Wilson Land a New Job as a Analytics Engineer (and a Side Gig in Doodling)

KDnuggets

In this practical modern data stack course, you will implement a dbt project on a data warehouse from scratch and with a lot of support along the way!

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KDnuggets News, August 17: How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects

KDnuggets

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects - Part 2 • What Does ETL Have to Do with Machine Learning? • Data Transformation: Standardization vs Normalization • The Evolution From Artificial Intelligence to Machine Learning to Data Science.

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Best React Charting Libraries for Data Visualization and Analytics | Propel Data Analytics Blog

Propel Data

We've picked Recharts, Echarts, React ChartJS 2, and VISX as the best charting libraries for data visualization and data analytics in React.

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How we shaved 90 minutes off our longest running model

dbt Developer Hub

When running a job that has over 1,700 models, how do you know what a “good” runtime is? If the total process takes 3 hours, is that fantastic or terrible? While there are many possible answers depending on dataset size, complexity of modeling, and historical run times, the crux of the matter is normally “did you hit your SLAs”? However, in the cloud computing world where bills are based on usage, the question is really “did you hit your SLAs and stay within budget ”?

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Data Engineer Roles And Responsibilities 2022

U-Next

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility. It’s essential for expanding and obtaining insightful knowledge of the contemporary corporate environment.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Accelerate Analytics for All

Cloudera

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in. Data practitioners can now produce end to end analytic pipelines through one service.