Tue.Aug 13, 2024

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Data Engineering Interview Series #1: Data Structures and Algorithms

Start Data Engineering

1. Introduction 2. Data structures and algorithms to know 2.1. List 2.2. Dictionary 2.3. Queue 2.4. Stack 2.5. Set 2.6. Counter (from collections module) 2.7. Heap 2.8. Graph search 2.8.1 Depth First Search (DFS) 2.8.2. Breadth First Search BFS 2.9. Binary Search 3. Common DSA questions asked during DE interviews 3.1. Intervals 3.

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Announcing the Generative AI World Cup 2024: A Global Hackathon by Databricks

databricks

Welcome to the Generative AI World Cup 2024 , a global hackathon inviting participants to develop innovative Generative AI applications that solve real-world.

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How to Deal with Missing Data Using Interpolation Techniques in Pandas

KDnuggets

Stop data from dropping out - learn how to handle missing data like a pro using interpolation techniques in Pandas.

Data 127
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Databricks SQL Serverless is now available on Google Cloud Platform

databricks

Databricks SQL Serverless is now Generally Available on Google Cloud Platform (GCP)! SQL Serverless is available in 7 GCP regions and 40+ regions across AWS, Azure and GCP.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Using Cluster Analysis to Segment Your Data

KDnuggets

Uncover the potential of cluster analysis for segmenting, analyzing, and gaining insights from groups of similar data.

Data 120
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Announcing the Generative AI World Cup: A Global Hackathon by Databricks

databricks

Welcome to the Generative AI World Cup , a global hackathon inviting participants to develop innovative Generative AI applications that solve real-world problems.

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Current 2024: What’s on Tap in Data Streaming

Confluent

Current 2024 brings 100+ sessions, keynotes, lightning talks, and more from industry leaders. Check out the agenda, highlights, networking events, and more event info.

Data 78
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Using NumPy to Perform Date and Time Calculations

KDnuggets

NumPy allows you to easily create arrays of dates, perform arithmetic on dates and times, and convert between different time units with just a few lines of code.

Coding 75
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Avoid Building a Data Platform in 2024

Towards Data Science

Why articles about ‘Building a Data Platform’ are mostly misleading Continue reading on Towards Data Science »

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dbt Generic Tests in Sessions Validation at Yelp

Yelp Engineering

Sessions, Where Everything Started For the past few years, Yelp has been using dbt as one of the tools to develop data products that power data marts, which are one stop shops for high visibility dashboards pertaining to top level business metrics. One of the key data products that’s owned by my team, Clickstream Analytics, is the Sessions Data Mart.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Data Products 101: Understanding the Fundamentals and Best Practices

The Modern Data Company

Introduction to Data Products In today’s data-driven landscape, data products have become essential for maximizing the value of data. As organizations seek to leverage data more effectively, the focus has shifted from temporary datasets to well-defined, reusable data assets. Data products transform raw data into actionable insights, integrating metadata and business logic to meet specific needs and drive strategic decision-making.

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Interpreting the Gartner Data Observability Market Guide

Monte Carlo

From the first mention of “ data observability ” back in 2019 to today, data observability has evolved dramatically—from data stack nice-to-have to a “must-have” solution for enterprise companies. This year data observability skyrocketed to the top of the Gartner’s Hype Cycles. Image courtesy of Gartner. According to Gartner, 50% of enterprise companies implementing distributed data architectures will have adopted data observability tools by 2026 – up from just ~20% in 2024.

Data 52
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Fivetran vs RudderStack Comparison

Hevo

Integrating and transforming data efficiently is crucial for businesses seeking actionable insights. ETL tools have become essential for companies, making data integration and transformation smooth and efficient. With so many ETL tools available, choosing the right one for your needs can be challenging. This post lets you contrast the popular platforms, Fivetran vs RudderStack.

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Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

Monte Carlo

You don’t know what you don’t know, said a data analyst, definitely… and this is certainly true when it comes to the millions of ways your data can break. And even if you could predict all of these issues, you wouldn’t want to manually define and write data quality rules to cover all of them. Wouldn’t it be great if your data quality and observability solution provided recommendations for these rules, and then – with the push of a button – created them?

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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AWS DMS CDC: Complete Guide to Real-Time Data Migration

Hevo

So, you’ve heard about AWS Database Migration Service (DMS) and Change Data Capture (CDC) and are curious how it can help you with your data migration needs. Well, you’ve come to the right place! Let’s dive into this fascinating world of real-time data migration and explore how AWS DMS CDC can make your life easier.

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Top 9 Leadership Skills to know in 2024

Edureka

A good leader is never someone who wants to become a larger-than-life hero. They never aspire to be put on a pedestal or become unreachable icons. They are seemingly ordinary people, quietly delivering extraordinary results. They produce such results not miraculously but with some distinct leadership skills. Skills that can ignite passion and creativity in their teams and foster an environment that motivates and encourages each member to bring their best to the table.

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Top 10 Data Quality Tools for Ensuring High Data Standards

Hevo

If you’re reading this, you already know how important data quality can be in today’s fast-moving world for making critical business decisions. Now, be honest; you want to get high-quality data all the time—right? Use data quality tools.

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What is Workplace Gamification in Leadership Training Programs

Edureka

The term “workplace gamification” describes game-design concepts and elements to motivate staff in real business settings. Gamification for leadership training appeals to basic needs like games, competition, and accomplishment, gamification transforms tedious, routine tasks into enjoyable, fulfilling, and unforgettable experiences. However, according to Research and Markets, a more modest but still significant growth rate will be experienced by the gamification market, with a CAGR of

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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How Peer Learning Can Accelerate Executive Development

Edureka

Peer Learning for Executive Development Executive development or we can simply say development because it refers to learning opportunities thrown open to managers working at various levels. It is any attempt to improve managerial performance by imparting knowledge, changing attitudes or increasing skills. The aim of development is not just to improve current job performance of managers but to prepare them for future challenging roles.

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What is Vite, and what are the reasons for replacing the Create React App?

Edureka

What is Vite? Vite is a framework for building web applications. It is modern and fast. Developers appreciate it for its speed and simplicity. It means that Vite makes it easier for you when you want to develop web projects. It is great for making apps with frameworks like React. Table of Contents: What is Vite? How does Vite work? Reasons to use Vite over CRA FAQs Thus, it can be stated that Vite React functions differently compared to other older tools.

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How to Drag and Drop in Selenium?

Edureka

Drag-and-drop is one of the core skills that an automation tester must have in Selenium. This technique helps the developer imitate user interactions with web elements. Such testing is applied to complex interfaces and dynamic web applications. For this reason, it is very crucial to understand how this functionality could be implemented for practical testing.

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