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The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.
Being Data Analytics is a meat grinder, it’s the worst job ever. Horrible it is. It will crush you. The post Data Analytics Suck! Worst Job Ever! appeared first on Confessions of a Data Guy.
Back in March, I did a writeup and experiment called DuckDB vs Polars, Thunderdom, 16GB on 4GB machine challenge. The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. Polars worked fine, DuckDB failed in spectacular fashion. I also noted how many people had opened issues in […] The post DuckDB Out Of Memory – Has it been fixed?
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.
How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline. That means, if you’re looking for… Read more The post 10 Great Videos To Help You Learn Data Engineering appeared first on Seattle Data Guy.
easy ( credits ) Hey, new Friday, new Data News. This week, I feel like the selection is smaller than usual, so enjoy the links. I'm a bit late with the Recommendations emails, I'm sorry about that I got a few new leads as a freelancer I had to take in priority changing a bit my schedule. But don't worry it gonna be out soon. AI News 🤖 When do models get the same hype as 2007 iPhone release?
If you are planning to enter the world of Python programming, the first and the most essential skill you should learn is knowing how to run Python script and code. Once you grab a seat in the show, it will be easier for you to understand whether the code will actually work or not. To learn more about sys.argv command line argument, click here. Python, being one of the leading programming languages , has a relatively easy syntax which makes it even easier for the ones who are in their initial sta
If you are planning to enter the world of Python programming, the first and the most essential skill you should learn is knowing how to run Python script and code. Once you grab a seat in the show, it will be easier for you to understand whether the code will actually work or not. To learn more about sys.argv command line argument, click here. Python, being one of the leading programming languages , has a relatively easy syntax which makes it even easier for the ones who are in their initial sta
In 2024, the spending in the information technology sector across India was above 112.55 billion U.S. dollars. It was projected that in 2024, the IT spending of India would reach more than 124.6 billion dollars. The IT-BPM industry contributed about 7.5 percent to the GDP of the nation. The figures are sufficient to demonstrate the significant influence of IT services in India.
About the Author Nicola Askham, also known as "The Data Governance Coach," has spent over a decade helping global organizations successfully implement data governance initiatives. In addition to coaching and consulting, she leads training courses to help people utilize data for solving problems and improving decision-making.
Embarking on the creation of AI persona chatbots opens up a thrilling and financially rewarding chapter in the realm of artificial intelligence chatbots. This innovative venture stands out because it normalizes the field of AI, removing the barrier of technical expertise. In other words, you don’t need to be a programmer or have any coding background to dive into this creative process of building a chatbot using prompt engineering.
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.
The ELT process has modernized data pipelines, fastened your data loading speed, and facilitated efficient data analysis. However, there is still a delay in the analysis and the time to obtain reports and insights, as your analysts have to run a few additional data transformation jobs at the warehouse to clean and format the data.
Fundamentally, social engineering is not the same as a cyberattack. Rather, social engineering relies heavily on the psychology of convincing, attacking the mind like a classic with artists. The idea is to win targets over to the idea that you are trustworthy so they will let down their defenses and be more likely to engage in risky behavior, like disclosing personal information, opening potentially malicious attachments, or clicking on web links.
Hevo offers an automated schema mapper that eliminates the manual hassle of managing schema for your data team. However, there are use cases where your data team requires control over the destination schema. You want to load data to an existing table in your warehouse, or you could be following a data nomenclature or structure.
As the field of DevOps is gaining massive popularity due to its cross-functional efficiency, the role of DevOps Architect is gaining equal importance among aspiring professionals. Bridging the gap between the development and operations team, a DevOps Architect is responsible for establishing work pipelines and basic project architecture to provide a direction to a project.
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
Niklas Lang is the founder and lead author of Data Basecamp, a machine learning blog that aims to offer easy explanations of data science and artificial intelligence. He uses the power of data to find growth opportunities and automate repetitive tasks.
In the fast-changing world of artificial intelligence, a new tool called Midjourney has captured the attention of artists, designers, and anyone interested in creativity. This AI-driven image creation platform has quickly become popular because it allows users to turn their ideas into visually stunning pieces of art. By entering simple text descriptions, Midjourney uses powerful machine-learning technology to create realistic and highly detailed images.
After being acquired by Google in early 2019, Alooma has removed support for data warehouses that are not part of the Google cloud. This has been beneficial for Google users, thus helping to focus more on the Analytics and business side — Thanks to its automation capabilities!
Large Language Models (LLMs)! Have you ever wondered how machines understand and generate human-like text? LLMs, such as GPT-3 and BERT, are advanced AI systems trained on massive amounts of text data. They use complex algorithms to analyze patterns in language, allowing them to generate coherent and contextually relevant text. These models have revolutionized natural language processing, powering applications like language translation, sentiment analysis, and text generation.
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
About the Author Can Goktug Ozdem is the founder of Datrick. He is a data engineer with over nine years of experience in the field. He is a big fan of remote work and is passionate about bringing insights through data while traveling to different parts of the world.
SAP bietet einige der robustesten Unternehmenssoftwareprodukte auf dem Markt. Das ist natürlich sehr wichtig für jeden, der ein komplexes globales Unternehmen mit vielen “beweglichen Teilen” betreibt. SAP leistet hervorragende Arbeit bei der Bewältigung dieser Komplexität – aber die Pflege der Stammdaten, die rechtzeitige Aktualisierung der SAP-Informationen und die Aufrechterhaltung eines reibungslosen Ablaufs sind komplex.
TokuDB displays high-performance and provides much higher storage capabilities, all without slowing down. Hence, organizations with a write-heavy load for their databases will be motivated to use TokuDB instead of the typical InnoDB engine for MySQL.
Storing and querying massive datasets is a huge challenge especially if you lack the right hardware and infrastructure. Organizations of all sizes are looking to leverage the scale, simplicity, and security of deploying their data infrastructure on data warehouses. Google BigQuery is one such data warehouse that is tailored for analyzing data at scale.
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
A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate flow of information for analytics and Machine Learning tasks becomes crucial for businesses.
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