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Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week. Some of the most popular ones include “data lakes” and “data warehouses” If you are Trying to understand the differences between a data lake and a data warehouse Frustrated by vendor marketing content aimed at selling their lake/warehouse
It’s not difficult to get started with Apache Kafka®. Learning resources can be found all over the internet, especially on the Confluent Developer site. If you are new to Kafka, […].
Data mesh is quickly becoming a way for companies to roll out their data strategy. If you haven’t already learned about data mesh , I suggest doing so. It comes with organizational and technical changes. I think a crucial part of your data mesh revolves around the choice of publish/subscribe technologies. At the crux of data mesh is a desire for flexibility.
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
The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business ou
By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. GraphQL federation enables domain teams to independently build and operate their own Domain Graph Services (DGS) and, at the same time, connect their domain with other domains in a unified GraphQL schema exposed by a federated gateway.
By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. GraphQL federation enables domain teams to independently build and operate their own Domain Graph Services (DGS) and, at the same time, connect their domain with other domains in a unified GraphQL schema exposed by a federated gateway.
Summary Any time that you are storing data about people there are a number of privacy and security considerations that come with it. Privacy engineering is a growing field in data management that focuses on how to protect attributes of personal data so that the containing datasets can be shared safely. In this episode Gretel co-founder and CTO John Myers explains how they are building tools for data engineers and analysts to incorporate privacy engineering techniques into their workflows and val
“AI systems (will) take decisions that have ethical grounds and consequences.”. Prof. Dr. Virginia Dignum from Umeå University. On March 23, 2016, Microsoft released its AI-based chatbot Tay via Twitter. The bot was trained to generate its responses based on interactions with users. But there was a catch. Various users started posting offensive tweets toward the bot, resulting in Tay making replies in the same language.
Digitization is necessary, but not sufficient to meet evolving customer demands & create the bank of the future. Use data analytics to help customers achieve their goals not deliver better apps.
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.
Summary Data engineering is a practice that is multi-faceted and requires integration with a large number of systems. This often means working across multiple tools to get the job done which can introduce significant cost to productivity due to the number of context switches. Rivery is a platform designed to reduce this incidental complexity and provide a single system for working across the different stages of the data lifecycle.
Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.
April 11 is “Inter” National Pet Day, a day dedicated to celebrating the pets and animals in our lives and communities. . While Pet Day is the perfect moment to show some extra love to the pets in our lives – Cloudera wants to take this opportunity to also recognize a Cloudera volunteer who goes above and beyond to care for the welfare and health of animals outside of his family – Dániel Omaisz-Takács.
Agility & innovation are the primary benefits enabled by a move to the cloud, but the initial focus is often on reducing the total cost of ownership. But this is only the first stage!
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.
Streaming data has become critical to the success of modern businesses. Leveraging real-time data enables companies to deliver the rich, digital experiences and data-driven backend operations that delight customers. For […].
Some 300 million years ago, Earth had one continent called Pangea. Over millions of years, that vast single land mass broke up and drifted in different directions, creating the seven continents that exist today. . Since the planet changed so dramatically over millennia, it raises an obvious question: How will it change in the future? The same forces, plate tectonics and continental drift, that broke up Pangea hundreds of millions of years ago still exert themselves.
Monte Carlo recently launched an updated Dashboard view as part of our efforts to equip our customers with the best tools to tackle their data downtime issues effectively seamlessly. The Dashboard incorporates data and visualization to provide actionable insights to users across data teams. Our customers use these features to gain visibility into how their incident levels are trending, the status of incident resolution, the health of custom monitors, team specific data, and other data health ins
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
Finalists and winners for The EdTech Awards 2022 have been announced to a worldwide audience of educators, technologists, students, parents, and policymakers interested in building a better future for learners and leaders in the education and workforce sectors. The EdTech Awards were established in 2010 to recognise, acknowledge, and celebrate the most exceptional innovators, leaders, and trendsetters in education technology.
Build the essential technical, analytical, and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.
_Note: This solution is making use of undocumented features and inner workings of Hotjar feedback widget and is not guaranteed to work or might break if Hotjar decides to change something inside their code. I am in no way affiliated with Hotjar.com ™ and can not offer any support regarding these matters._ I had a request the other day to integrate Hotjar.com™ feedback widget into our iOS and Android mobile applications which run on Ionic v3.
It’s no secret that the Azure certification exam ecosystem can be tricky to navigate. There are lots of certs that are frequently updated or retired, and new ones get added all the time. Today, we’ll dive in a specific corner of the maze that is the world of Azure Data certifications. Find out what certifications […] The post Navigating the Maze of Azure Data Certifications appeared first on A Cloud Guru.
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
In-person data and analytics events are back in full swing, and Rockset will be at three events in the span of one week this April. Rockset exhibiting at AWS re:Invent 2021 in Las Vegas AWS Summit San Francisco You can catch us first at AWS Summit SF , April 20th and 21st, at Moscone Center South in San Francisco. Visit us at booth #609 to enter to win our live PlayStation 5 raffle at the end of day one of the conference.
By using a few lines of code, you can understand key aspects of a given dataset. These tools have helped me answer business-related questions during the data assessment test by Alooba.
Data teams love the idea of automating data engineering processes in principle. After all, who doesn’t want to move faster and eliminate the time consuming, boring aspects of their job? But even time-strapped, technically savvy engineers will sometimes squirm when the suggestion is made to automate a specific task. We’ve felt it ourselves. There are often understandable reasons for this hesitation: An upfront investment of time and/or resources The change management needed to modify related proc
In this article, I will show how teams at Zalando Marketing Services are using functional tests. We will follow the idea of functional tests: the main concept and the attributes of a good functional test. Then, we will discuss an example based on the TestContainers library used in the Spring environment. You can find an introduction to the TestContainers library in my previous article Integration tests with Testcontainers , because that is out of the scope of this one.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
In just a few weeks’ time, the Apache Kafka® community will be convening for Kafka Summit London 2022—its first in-person event in over two years. The conference is being held […].
Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.
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Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.
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
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