Fri.Jan 27, 2023

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Data News — Week 23.04

Christophe Blefari

My view from the train window ( credits ) Dear Data News readers it's a joy every week to write this newsletter, we are slowly approaching the second birthday of this newsletter. In order to celebrate this together I'd love to receive your stories about data —can be short or long, anonymous or not. This is an open box, just write me with what you have on the mind and I'll bundle an edition with it.

Data 130
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Watch Meta’s engineers discuss optimizing large-scale networks

Engineering at Meta

Managing network solutions amidst a growing scale inherently brings challenges around performance, deployment, and operational complexities. At Meta, we’ve found that these challenges broadly fall into three themes: 1.) Data center networking: Over the past decade, on the physical front, we have seen a rise in vendor-specific hardware that comes with heterogeneous feature and architecture sets (e.g., non-blocking architecture).

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Customer Engagement Trends for 2023

Precisely

In today’s hypercompetitive business environment, companies must deliver a standout experience for their target audience. Companies that excel at customer experience (CX) are better at building brand loyalty, increasing total customer lifetime value, and turning occasional customers into brand evangelists. This compelling drive for outstanding CX coincides with an intensive shift toward digitization, personalization, and omnichannel alignment.

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Top 10 Advanced Data Science SQL Interview Questions You Must Know How to Answer

KDnuggets

In this article, we will give a list of commonly asked SQL interview questions to help you prepare for your coming technical interview.

SQL 110
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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Understanding and managing ArcGIS Online credits

ArcGIS

ArcGIS Online users and administrators - learn best practices for managing ArcGIS Online credits and get answers to frequently asked questions.

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Master Data Science with Anaconda

KDnuggets

As a special offer, you're receiving a 30-day FREE trial to Anaconda Notebooks and Learning. To unlock this offer, simply sign up for an Anaconda Nucleus account and use the promo code “NEWYEAR23" at checkout.

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7 SMOTE Variations for Oversampling

KDnuggets

Best oversampling techniques for the imbalanced data.

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7 Data Science Applications in Finance For Maximizing ROI

ProjectPro

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. Imagine predicting market crashes or identifying fraudulent transactions before they occur. All this is possible now, thanks to the versatile data science applications in the finance industry. Join us as we highlight some of the most popular data science applications in finance and exciting project ideas for financial data scientists to help them stay ahead of the

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Types of Data Replication: A Comprehensive Guide 101

Hevo

Data replication is the process of duplicating data across multiple locations. This can include moving data between cloud-based servers, on-premise hosts, and more. Data replication can occur in batches according to a set schedule, on-demand, or in real-time as changes are made to the primary repository.

Data 52
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7 Best Computer Vision Libraries in Python

ProjectPro

Computer vision libraries provide in-built functions and optimized algorithms for various image and video processing tasks. These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding. Using the best computer vision libraries can help you improve any machine learning model's accuracy, performance, and robustness, enhancing the capabilities of the computer vision appli

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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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What is Data Extraction? Everything You Need to Know

Hevo

As companies shift towards digital operations, data has become a critical aspect of business success. To leverage data for growth, it must first be collected and transformed into a format that’s fit for analysis. This is where “Data Extraction” comes in, serving as the starting point for the journey from data to insights.

Data 52
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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil". Well, it surely is! It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing.

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Data Streaming Architecture Guide [Updated 2023]

Hevo

Organizations must constantly monitor and analyze real-time data through data streaming systems. Data streaming technology helps organizations in processing and analyze real-time data with ease. It is primarily used in situations where dynamic data is generated regularly.

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5 Modern Applications of Machine Learning in Energy Sector

ProjectPro

Machine learning applications have been making waves across all industries, and the energy sector is no exception. From smart grid technology to predicting equipment failures to forecasting wind and solar power generation, applications of machine learning in energy sector are widespread. Globally, the energy sector produces an incredible amount of data.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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6 Key Data Replication Best Practices You Must Know

Hevo

Follow these data replication best practices to avoid the chaos of a poorly planned replication leading to lost or inconsistent data, rising costs, and network slowdowns.

Data 52
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7 Top Data Visualization Books for Beginners and Pros Alike

ProjectPro

Whether you are new to the world of data visualization or a seasoned pro looking to strengthen your data visualization skills, these top 7 data visualization books will help you understand the principles and techniques of data visualization needed to communicate your findings effectively. Data visualization is not simply about visualizing the data; it is about finding the meaning behind the numbers to understand the relationships between the elements of a dataset.