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Confluent + WarpStream = Large-Scale Streaming in your Cloud

Confluent

Confluent has acquired WarpStream, an innovative Kafka-compatible streaming solution. Read the full statement by Jay Kreps, co-founder and CEO of Confluent.

Cloud 90
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NumPy for Linear Algebra Applications

KDnuggets

This guide shows you how to perform key operations like matrix multiplication, eigenvalue calculations, and solving linear systems. Learn to use NumPy’s functions for linear algebra computations.

Systems 71
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What are the Key Parts of Data Engineering?

Start Data Engineering

1. Introduction 2. Key parts of data systems: 2.1. Requirements 2.2. Data flow design 2.3. Orchestrator and scheduler 2.4. Data processing design 2.5. Code organization 2.6. Data storage design 2.7. Monitoring & Alerting 2.9. Infrastructure 3. Conclusion 1. Introduction If you are trying to break into (or land a new) data engineering job, you will inevitably encounter a slew of data engineering tools.

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Real-time Analytics Vs Stream Processing – What Is The Difference?

Seattle Data Guy

One of the holy grails that many data teams seem to chase is real-time data analytics. After all, if you can have real-time analytics, you can make better decisions faster. However, there often is a conflation between real-time data analytics and stream processing. These are two different concepts that are crucial to understanding how to… Read more The post Real-time Analytics Vs Stream Processing – What Is The Difference?

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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How to Compute the Cross-Correlation Between Two NumPy Arrays

KDnuggets

Let's see how to perform cross-correlation in NumPy, a method for measuring the similarity or relationship between two sequences of data as one is shifted in relation to the other.

Data 123
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Streaming Postgres data to Databricks Delta Lake in Unity Catalog

Confessions of a Data Guy

Over the many years I’ve been pounding my keyboard … Perl, PHP, Python, C#, Rust … whatever … I, like most programmers, built up a certain disdain for what is called Low Code / No Code solutions. In my rush to worship at the feet of the code we create, I failed, in the beginning, […] The post Streaming Postgres data to Databricks Delta Lake in Unity Catalog appeared first on Confessions of a Data Guy.

Python 100

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Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

databricks

An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.

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Using FastAPI for Building ML-Powered Web Apps

KDnuggets

A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.

Building 125
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Introduction to Polars in 2 Minutes

Confessions of a Data Guy

Polars is the hot new Rust based Python Dataframe tool that is taking over the world and destryoing Pandas even as we speak. You want the quick and dirty introduction to Polars? Look no farther. The post Introduction to Polars in 2 Minutes appeared first on Confessions of a Data Guy.

Python 100
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4 Key Trends in Data Quality Management (DQM) in 2024

Precisely

Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace automation to streamline data quality processes like profiling and standardization. • Develop standardized processes to quickly identify and fix data issues, maintaining integrity and compliance.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Enhanced Workflows UI reduces debugging time and boosts productivity

databricks

Data teams spend way too much time troubleshooting issues, applying patches, and restarting failed workloads. It's not uncommon for engineers to spend their.

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How Producers Work: Kafka Producer and Consumer Internals, Part 1

Confluent

Dive into Kafka internals with a four-part series examining client requests and brokers. Part 1 covers what a producer does to prepare raw event data for the broker.

Kafka 73
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Using FLUX.1 Locally

KDnuggets

Learn how to install Stable Diffusion WebUI Forge easily and set up the FLUX.1 [dev] model for local use on a laptop.

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From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts

DataKitchen

From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts Most data teams work with a dozen or a hundred pipelines in production. What do you do when you have thousands of data pipelines in production? How do you understand what is happening to those pipelines? Is there a way that you can visualize what is happening in production quickly and easily?

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Is PRINCE2 Hard? Crack PRINCE2 Exam in 7 Days Guide

Knowledge Hut

A project manager’s goal is to timely deliver the projects within a stipulated budget and according to the scope. PRINCE2 ( PR ojects IN C ontrolled E nvironments) is a process-based method that guides a manager through every stage of the project cycle while bringing a common language and structure to it. It helps you in the successful delivery of every project, regardless of its complexity and size.

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Revolutionizing Insight into Heavy Equipment Maintenance with GenAI

databricks

Maintaining heavy equipment assets, such as oil rigs, agricultural combines, or fleets of vehicles, poses an extremely complex challenge for global companies. These.

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Data Engineering Weekly #188

Data Engineering Weekly

Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity. Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

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Best Practices for Effective Data Retention: A How to Guide

Precisely

How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected? How easily could you prove your compliance if audited? GDPR states that personal data must not be kept longer than the purpose for which it was collected and processed.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Deploying AI to Enhance Data Quality and Reliability

Ascend.io

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and enables smarter business decisions. Data quality is the backbone of successful data engineering projects. Poor data quality can lead to costly errors, misinformed decisions, and ultimately, a significant economic impact.

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LLM Assisted Segmentation for Games

databricks

Segmentation projects are the cornerstone of personalization in games. Personalization of the player experience helps maximize player engagement, mitigate churn and increase player.

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Building a Successful Data Migration Team

Hevo

Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them seven years to complete the entire migration and ensure that every piece of data moved securely and perfectly into the new system.

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I Took Udacity’s Free A/B Testing Course by Google: Here’s What I Learned

KDnuggets

A beginner's guide to A/B testing by FAANG data scientists.

Data 129
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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Precisely Customers Bring SAP Success Stories to Automate User Group

Precisely

HP Hood, Johnson & Johnson Vision, Loparex, Pactiv Evergreen, South Florida Water Management District, and Refresco share efficiencies and insights gained with Precisely Precisely hosted events during SAP Sapphire week in Orlando, FL – including an Automate User Group meeting, or “Inspiration Day.” These quarterly events bring Precisely Automate customers together to share knowledge, insights, and real-world results.

Finance 59
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Batch And Streaming Demystified For Unification

Towards Data Science

Understand how batch can be considered a subset of streaming and why data engineering should simplify its usage significantly Continue reading on Towards Data Science »

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Announcing advanced security and governance in Mosaic AI Gateway

databricks

We are excited to introduce several powerful new capabilities to Mosaic AI Gateway, designed to help our customers accelerate their AI initiatives with.

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Informatica vs Snowflake: Which Tool to Choose?

Hevo

Nowadays, businesses heavily rely on data to make informed decisions. Choosing the right tool and data management platform can make or break the business. From small startups to large enterprises, handling, storing, and processing one’s data is crucial for all. Two popular platforms available in the market for these purposes are Snowflake and Informatica.

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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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7 Steps to Mastering Math for Data Science

KDnuggets

Want to learn math for data science? This guide will help you go about learning math for data science—linear algebra, calculus, statistics, and more.

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Precisely Women in Technology: Meet Mahima

Precisely

According to the Women in Tech Network , women make up about 35 percent of the tech workforce. While this number has grown over the years, it still indicates that technology is a male-dominated industry. Precisely is committed to creating a supportive environment for women to build their careers so that this number can continue growing. As a result, the Precisely Women in Technology (PWIT) network was developed.

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Your Guide to Building the Perfect Data Quality Dashboard

Monte Carlo

Picture this: You’re leading a meeting, ready to present the latest sales figures. But, as you start sharing the numbers, someone points out a glaring inconsistency. Suddenly, the room is filled with doubt—about the data, the insights, and, let’s face it, even your judgment. A data quality dashboard is your safety net in these situations. It’s more than a tool—it’s a real-time report card on the health of your data.

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Building a Generative AI Workflow for the Creation of More Personalized Marketing Content

databricks

Personalization and scale have historically been mutually exclusive. For all the talk of one-to-one marketing and hyper-personalization , the reality has been that.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr