ProjectPro
JUNE 6, 2025
Data Engineering is gradually becoming a popular career option for young enthusiasts. However, with so many tools and technologies available, it can be challenging to know where to start. That's why we've created a comprehensive data engineering roadmap for 2023 to guide you through the essential skills and tools needed to become a successful data engineer.
KDnuggets
JUNE 6, 2025
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app. Master these 5 Python patterns that handle failures like a pro!
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ProjectPro
JUNE 6, 2025
‘Man and machine together can be better than the human’ All thanks to deep learning frameworks like PyTorch, Tensorflow, Keras, Caffe, and DeepLearning4j for making machines learn like humans with special brain-like architectures known as Neural Networks. The war of deep learning frameworks has two prominent competitors- PyTorch vs Tensorflow because the other frameworks have not yet been adopted widely.
Pinterest Engineering
JUNE 6, 2025
Xue Xia | Machine Learning Engineer, Home Feed Ranking; Saurabh Vishwas Joshi | Principal Engineer, ML Platform; Kousik Rajesh | Machine Learning Engineer, Applied Science; Kangnan Li | Machine Learning Engineer, Core ML Infrastructure; Yangyi Lu | Machine Learning Engineer, Home Feed Ranking; Nikil Pancha | (formerly) Machine Learning Engineer, Applied Science; Dhruvil Deven Badani | Engineering Manager, Home Feed Ranking; Jiajing Xu | Engineering Manager, Applied Science; Pong Eksombatchai | P
Advertisement
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
ProjectPro
JUNE 6, 2025
As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? You might find some articles across the web that conclude that Apache Kafka is better than RabbitMQ and few others that mention RabbitMQ to be more reliable than Kafka.
databricks
JUNE 6, 2025
Most enterprises sit on a massive amount of unstructured data—documents, images, audio, video—yet only a fraction ever turns into actionable insight.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
DataKitchen
JUNE 6, 2025
Data Quality Testing: A Shared Resource for Modern Data Teams In today’s AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business customers. Whether you’re a Data Engineer building ETL pipelines, a Data Scientist developing predictive models, or a Data Steward ensuring compliance, we all want the same outcome: data that is trustworthy, accurate, and underst
ProjectPro
JUNE 6, 2025
Early in 2020, when Myntra launched its visual product search for the first time, it created waves in e-commerce. With this new feature, the customers no longer had to spend hours searching for a dress similar to the one they came across randomly in an advertisement. All they had to do was take a picture/screenshot and upload it on Myntra; the app would automatically fetch outfits similar to the picture.
RudderStack
JUNE 6, 2025
Launch high-ROI personalization projects that drive engagement and conversions without complex engineering.
ProjectPro
JUNE 6, 2025
The demand for data-related roles has increased massively in the past few years. Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. While data science is the most hyped-up career path in the data industry, it certainly isn't the only one.
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.
Snowflake
JUNE 6, 2025
Eight months. Over one thousand submissions from more than one hundred countries. Ten semi-finalists. Three finalists. Seven heart-pounding minutes as the judges deliberated. And finally, one winner: we are thrilled to announce that Lumilinks is the 2025 Snowflake Startup Challenge Winner! The judges zeroed in on the potential of several aspects of Lumilinks’ product and business strategy, including its focus on solving business users’ problems and finding impact with more conventional businesse
ProjectPro
JUNE 6, 2025
With the global data volume projected to surge from 120 zettabytes in 2023 to 181 zettabytes by 2025, PySpark's popularity is soaring as it is an essential tool for efficient large scale data processing and analyzing vast datasets. This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Source: ExplodingTopics Originally built in Scala , Spark now supports Python through PySpark , enabling seamless work with Resilient Distributed Datasets (RDD
KDnuggets
JUNE 6, 2025
Stay ahead in 2025 with the latest OCR models optimized for speed, accuracy, and versatility in handling everything from scanned documents to complex layouts.
ProjectPro
JUNE 6, 2025
“I don’t need a hard disk in my computer if I can get to the server faster… carrying around these non-connected computers is byzantine by comparison.” -Steve Jobs, Late Co-founder, CEO, and Chairman of Apple Inc. The interesting choice of the word, byzantine, to highlight the complexity of using hardware machines to solve problems is worth noting in this quote by Steve Jobs.
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.
ArcGIS
JUNE 6, 2025
Get tips and insights for ArcGIS Pro at the 2025 Esri User Conference, including Expo navigation and must-attend sessions.
ProjectPro
JUNE 6, 2025
This blog introduces the concept of time series forecasting models in the most detailed form. First, there will be a simple introduction to highlight the significance of such models. Next, you will find a section that presents the definition of a time series forecasting article. After that, you will explore popular time-series-forecasting models. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems.
ProjectPro
JUNE 6, 2025
Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 billion by 2026? Businesses are leveraging big data now more than ever.
ProjectPro
JUNE 6, 2025
The CrewAI framework has gained significant traction in the AI community, with a growing ecosystem of projects, templates, and resources. According to recent data from GitHub , the CrewAI repository has garnered over 3,900 stars and 1,500 forks, indicating strong interest and active development within the community. This level of engagement underscores the framework's potential and the eagerness of developers to explore its capabilities.
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
ProjectPro
JUNE 6, 2025
MLOps! MLOps! MLOps! The cat is out of the box! In this article, you will be reading about the list of MLOps tools that can help you improve the overall deployment of your machine learning projects. For many people, the word ‘machine learning’ immediately triggers the ideas of a canvas filled with tons of mathematical and statistical formulae that are hard to decode.
ProjectPro
JUNE 6, 2025
Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. As Databricks has revealed, a staggering 73% of a company's data goes unused for analytics and decision-making when stored in a data lake.
ProjectPro
JUNE 6, 2025
Looking for an efficient tool for streamlining and automating your data processing workflows? Apache Airflow DAGs are your one-stop solution! Read this blog till the end to learn everything you need to know about Airflow DAG. Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis.
ProjectPro
JUNE 6, 2025
87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Jobs over the next decade will be built on top of Data Science, but for production. Data Science has flourished over the decade on the promise that organizations will leverage analytics for profitable business decision-making.
Advertisement
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
ProjectPro
JUNE 6, 2025
Are you a data science enthusiast looking to enhance your Python Flask skills? Check out these exciting python flask projects that will help you apply your Flask knowledge to solve real-world data science challenges. Consider a scenario where you have built a machine-learning model that predicts customer churn in a telecommunications company. Now, you want to showcase this model to the sales team and provide them with an interactive web application where they can input customer data and get the
ProjectPro
JUNE 6, 2025
If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Beginners will especially find it helpful if they want to know how to become a data engineer from scratch. In 2018, the Wall Street Journal reported that every company is a tech company, suggesting that every company is likely to hire a tech co-founder for future growth.
ProjectPro
JUNE 6, 2025
Today, businesses use traditional data warehouses to centralize massive amounts of raw data from business operations. Since data needs to be accessible easily, organizations use Amazon Redshift as it offers seamless integration with business intelligence tools and helps you train and deploy machine learning models using SQL commands. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties.
ProjectPro
JUNE 6, 2025
Discover 50+ Azure Data Factory interview questions and answers for all experience levels. These ADF interview questions and answers will help you demonstrate your expertise and impress your interviewer, increasing your chances of securing your ideal job. A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 billion in 2020 to USD 24.84 billion by 2025, at a CAGR of 15.2% during the forecast period.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
ProjectPro
JUNE 6, 2025
Have you ever wondered how social media platforms like Twitter and Facebook are able to understand and analyze text? Or how virtual assistants like Siri and Alexa are able to recognize and respond to spoken commands? This is where NLTK comes in. With NLTK, you can perform tasks such as tokenization, stemming, part-of-speech tagging, and more, making it an essential tool for natural language processing (NLP).
ProjectPro
JUNE 6, 2025
In this space, we will explore the most innovative and impactful Artificial Intelligence projects, from cutting-edge research to real-world applications. Whether you're a tech enthusiast or simply curious about the future of AI, you'll find plenty of exciting ideas and insights to inspire you. Let's begin! Artificial Intelligence has made a significant impact on our daily lives.
ProjectPro
JUNE 6, 2025
BelData science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare , education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. The possibilities are endless: analysis of frauds in the finance sector or the personalization of recommendations on eCommerce businesses.
ProjectPro
JUNE 6, 2025
Ready to apply your AWS DevOps knowledge to real-world challenges? Dive into these exciting AWS DevOps project ideas that can help you gain hands-on experience in the big data industry! According to the latest MarketsAndMarkets survey report, the DevOps market size is likely to grow from USD 10.4 billion in 2023 to USD 25.5 billion by 2028 at a CAGR of 19.7% during this period.
Advertisement
Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
Expert insights. Personalized for you.
94 
Let's personalize your content