Fri.Dec 02, 2022

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Top 10 Data Science Myths Busted

KDnuggets

The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

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Building a Telegram Bot Powered by Apache Kafka and ksqlDB

Confluent

ksqlDB use case: see how apps can use ksqlDB to ingest, filter, enrich, aggregate, and query data directly with Kafka—no complex architectures or data stores needed.

Kafka 144
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How Machine Learning Can Benefit Online Learning

KDnuggets

Personalized learning, smart grading, skill gap assessment, and better ROI: The importance of incorporating Machine Learning in Online Learning cannot be overstated.

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Broadcom Modernizes Machine Learning and Anomaly Detection with ksqlDB

Confluent

Broadcom's Mainframe Operational Intelligence Product (MOI) collects and analyzes data at mass scale, using ksqlDB to improve anomaly detection and custom alarm filtering.

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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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Sky’s the Limit: Learn how JetBlue uses Monte Carlo and Snowflake to build trust in data and improve model accuracy

KDnuggets

Join JetBlue on 12/8 10AM PT to learn how their data engineering team achieves end-to-end coverage in their Snowflake data warehouse with the power of Monte Carlo and data observability.

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From Eager to Smarter in Apache Kafka Consumer Rebalances

Confluent

Major improvements to the Kafka consumer, Streams, and ksqlDB for incremental cooperative rebalancing while maintaining at-least-once and exactly-once guarantees.

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ksqlDB Execution Plans: Move Fast But Don’t Break Things

Confluent

Build fast, break nothing. Learn about the unique challenges Confluent's engineering team has faced building ksqlDB and continuously shipping the latest, greatest features.

Building 123
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3 Approaches to Data Imputation

KDnuggets

Learn about data imputation and 3 ways in which to implement it using Python.

Python 108
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Monitoring Confluent Platform with Datadog

Confluent

Datadog and Confluent integration brings new monitoring, metrics, and enterprise capabilities for Kafka. Monitor Kafka Connect, ksqlDB, Schema Registry, REST Proxy, and more.

Kafka 117
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Large Scale Ad Data Systems at Booking.com using the Public Cloud

Booking.com Engineering

Booking.com’s mission is to make it easier for everyone to experience the world. To help people discover destinations, we are a leading travel advertiser on Google Pay Per Click (PPC). Booking Holdings, as a whole, spent $4.7 billion in marketing across all brands in the first nine months of 2022[1]. How do we run PPC at our scale, and efficiently? In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP).

Systems 52
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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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Walmart’s Real-Time Inventory System Powered by Apache Kafka

Confluent

With over 4,700 stores, learn how Walmart used Kafka to build an event-driven architecture for real-time inventory management, providing a seamless omnichannel experience.

Kafka 117
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Improving the Player on Android

Pinterest Engineering

Grey Skold | (former Android Video Engineer) ; Lin Wang | Android Performance Engineer; Sheng Liu | Android Performance Engineer Pinterest Android App offers a rare experience with a mix of images and videos on a two-column grid. In order to maintain a performant video experience on Android devices, we focused on: Warming up Configurations Pooling players Warming Up In order to reduce the startup latency, we establish a video network connection by sending a dummy HTTP HEAD request during the ear

Media 52
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Kafka Summit Austin 2020 is Going Virtual

Confluent

To prioritize the safety of our community, we are transforming Kafka Summit Austin into a virtual experience. We are excited to invite the global Kafka community to Kafka Summit 2020: Event Streaming Everywhere.

Kafka 109
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How Important Is Previous Work Experience When Becoming a Sales Strategist?

U-Next

Introduction . In this blog, we’re going to answer a very In-demand question about sales strategy, i.e., does previous work experience matter in becoming a Sales Strategist ? The field of sales strategy is essential for businesses in nearly every industry. A sales strategy defines how a company will generate revenue and grow its customer base; without a sound strategy, a company is likely to struggle.

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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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Measuring Code Coverage of Golang Binaries with Bincover

Confluent

Here's a deep dive on how we implemented Bincover, a simple, open source tool for measuring code coverage of Golang binaries.

Coding 130
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The Importance of Python in Data Science and Machine Learning

U-Next

Introduction . Data Science is a branch of Computer Science that deals with extracting knowledge from data. Machine Learning is teaching computers to learn from data without being explicitly programmed. Python is essential for Data Science And Machine Learning for various reasons that you’ll find out here. . Many programming languages are used for Data Science and Machine Learning.

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Highly Available, Fault-Tolerant Pull Queries in ksqlDB

Confluent

Due to popular demand, highly available pull queries are here! Learn how to use ksqlDB for simplified, reliable, real-time stream processing.

Process 112
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How Does R Enhance the Learning of Data Science and Machine Learning?

U-Next

Introduction . Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. A data scientist is a professional responsible for collecting, analyzing, and interpreting large data sets to identify patterns and trends.

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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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Data pipelines: The what, why, and how

Confluent

A data pipeline is the process of data movement and transformation from its source to destination. Learn types of data pipelines and how they’re used.

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What’s the Role of AI in Business and Management?

U-Next

Introduction . The role of AI in business and management is indispensable. In recent years, Artificial Intelligence (AI) has evolved around 12.9% globally into a landmark technology transforming the private and public sectors. An organization that adopts and invests in Artificial Intelligence technology is going to need to evolve a new management style that combines a leader’s vision with a scientist’s expertise over a growing body of specialized knowledge.

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Project Metamorphosis Month 1: Elastic Apache Kafka Clusters in Confluent Cloud

Confluent

Confluent announces revolutionary event streaming features so any businesses can leverage modernized, scalable, multi-cloud data systems.

Cloud 57
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Difference Between Cyber Currency and Cryptocurrency

U-Next

Introduction . The rise of cryptocurrency can be attributed to the increasing popularity of blockchain technology. Blockchain is the underlying technology that powers cryptocurrency, and it is seen as a highly secure and transparent way of conducting transactions. With more and more businesses and organizations beginning to explore the use of blockchain, the demand for cryptocurrency is likely to continue to grow. .

Banking 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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How Do You Summarize Data in Excel?

U-Next

Introduction To Summarizing Data In Excel . Data for Excel is a way of summarizing large amounts of data into a few numbers. For example, if you have 3,000 sales at $50 each, you could summarize this by saying that total sales were $150,000. The summarization of data in Excel is doable in many ways. . Approximately 54% of businesses use Excel , which doesn’t include any other spreadsheet programs.

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