How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Confluent
NOVEMBER 29, 2022
Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.
Confluent
NOVEMBER 29, 2022
Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.
KDnuggets
NOVEMBER 29, 2022
First steps to learning data science & machine learning are the foundations.
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Confluent
NOVEMBER 29, 2022
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!
KDnuggets
NOVEMBER 29, 2022
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.
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.
Confluent
NOVEMBER 29, 2022
Zalando shares their experience and lessons learned running real-time Apache Kafka streams applications built in production on Amazon Web Services (AWS). .
KDnuggets
NOVEMBER 29, 2022
Improve the model performance by balancing the dataset using the synthetic minority oversampling technique.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
NOVEMBER 29, 2022
Discussion on an entry-level data science interview question.
Confluent
NOVEMBER 29, 2022
Apache Kafka multi-datacenter with Confluent Replicator, Schema Registry, timestamp preservation, consumer offset reset, failover and failback workflows.
KDnuggets
NOVEMBER 29, 2022
Secure major savings on DataCamp’s Black Friday deal and Cyber Monday deal!
Confluent
NOVEMBER 29, 2022
Demonstration of using the Apache Kafka Streams API and GlobalKTables to perform online predictions and updates of machine learning models.
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.
Workfall
NOVEMBER 29, 2022
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?
Confluent
NOVEMBER 29, 2022
An in-depth analysis of the various ways to join streams and tables in Apache Kafka's Streams API.
Scott Logic
NOVEMBER 29, 2022
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.
Confluent
NOVEMBER 29, 2022
The call for papers for Kafka Summit London 2018 now open until December 1. Submit proposals for how you’ve used Apache Kafka.
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.
DoorDash Engineering
NOVEMBER 29, 2022
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.
Confluent
NOVEMBER 29, 2022
How to use Apache Kafka and KSQL to query, analyze, and transform streams of data, such as from Twitter.
dbt Developer Hub
NOVEMBER 29, 2022
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.
Confluent
NOVEMBER 29, 2022
How Pinterest use Apache Kafka's Streams API to power their predictive ad platform in real-time at large scale.
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
Meltano
NOVEMBER 29, 2022
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.
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