Tue.Nov 29, 2022

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How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka

Confluent

Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.

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What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

KDnuggets

First steps to learning data science & machine learning are the foundations.

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Apache Kafka Goes 1.0

Confluent

The mission-critical deployments, the robust feature set, the long history all say that Kafka is an Enterprise-capable product. Apache Kafka is going 1.0!

Kafka 104
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Top Posts November 21-27: What is Chebychev’s Theorem and How Does it Apply to Data Science?

KDnuggets

What is Chebychev's Theorem and How Does it Apply to Data Science? • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Linux for Data Science Cheatsheet • How Much Math Do You Need in Data Science? • Git for Data Science Cheatsheet.

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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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Running Kafka Streams Applications in AWS

Confluent

Zalando shares their experience and lessons learned running real-time Apache Kafka streams applications built in production on Amazon Web Services (AWS). .

AWS 98
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An Introduction to SMOTE

KDnuggets

Improve the model performance by balancing the dataset using the synthetic minority oversampling technique.

Datasets 114

More Trending

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Comparing Linear and Logistic Regression

KDnuggets

Discussion on an entry-level data science interview question.

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Disaster Recovery for Multi-Datacenter Apache Kafka Deployments

Confluent

Apache Kafka multi-datacenter with Confluent Replicator, Schema Registry, timestamp preservation, consumer offset reset, failover and failback workflows.

Kafka 96
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Black Friday Deal – Master Machine Learning for Less with DataCamp

KDnuggets

Secure major savings on DataCamp’s Black Friday deal and Cyber Monday deal!

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Predicting Flight Arrivals with the Apache Kafka Streams API

Confluent

Demonstration of using the Apache Kafka Streams API and GlobalKTables to perform online predictions and updates of machine learning models.

Kafka 98
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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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How to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js?

Workfall

Reading Time: 10 minutes MongoDB is one of the most popular No-SQL databases in the developer community today. Instead of SQL objects, No-SQL databases allow developers to send and retrieve data as JSON documents. In this blog, we will demonstrate how to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js. Let’s get started! In this blog, we will cover: What is MongoDB?

MongoDB 52
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Crossing the Streams – Joins in Apache Kafka

Confluent

An in-depth analysis of the various ways to join streams and tables in Apache Kafka's Streams API.

Kafka 114
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The Career Canvas by Anna Caulfield

Scott Logic

For over a decade, the representation of women at senior levels has been on the agenda in the corporate world, and yet women are still underrepresented in UK businesses – with women occupying only 30% of management roles. That number is worse still in the tech industry, with women occupying just 5% of the top jobs. Last week I attended ‘Women of Silicon Roundabout’ – the UK’s largest tech event for women.

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The London Kafka Summit 2018 Call for Papers is Open!

Confluent

The call for papers for Kafka Summit London 2018 now open until December 1. Submit proposals for how you’ve used Apache Kafka.

Kafka 98
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How DoorDash Secures Data Transfer Between Cloud and On-Premise Data Centers

DoorDash Engineering

As DoorDash’s business grows, engineers strive for a better network infrastructure to ensure more third-party services could be integrated into our system while keeping data securely transmitted. Due to security and compliance concerns, some vendors handling such sensitive data cannot expose services to the public Internet and therefore host their own on-premise data centers.

Cloud 97
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Getting Started Analyzing Twitter Data in Apache Kafka through KSQL

Confluent

How to use Apache Kafka and KSQL to query, analyze, and transform streams of data, such as from Twitter.

Kafka 98
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Introducing the dbt_project_evaluator: Automatically evaluate your dbt project for alignment with best practices

dbt Developer Hub

Why we built this: A brief history of the dbt Labs Professional Services team ​ If you attended Coalesce 2022 , you’ll know that the secret is out — the dbt Labs Professional Services team is not just a group of experienced data consultants ; we’re also an intergalactic group of aliens traveling the Milky Way on a mission to enable analytics engineers to successfully adopt and manage dbt throughout the galaxy.

Project 52
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Using Kafka Streams API for Predictive Budgeting

Confluent

How Pinterest use Apache Kafka's Streams API to power their predictive ad platform in real-time at large scale.

Kafka 52
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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The Meltano Communities’ Surprising Top 5 dbt Packages and Tools in 2022

Meltano

If you’re working with dbt , you need to check these five packages out. They supercharge the dbt workflows of the meltano community members. Over 150 dbt packages are already on the dbt hub adding functionality to model data, test it, assert its quality, and more! As dbt has matured, the packages are becoming better and there are some that will save you considerable time and supercharge your workflow.

SQL 52