5 Free Courses to Master Data Engineering
KDnuggets
NOVEMBER 30, 2023
Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.
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KDnuggets
NOVEMBER 30, 2023
Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.
Snowflake
APRIL 17, 2024
This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. To get started, explore the comprehensive API documentation , which will guide you through every step.
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Data Engineering Podcast
JANUARY 30, 2022
Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. What are the main tasks that you have seen Pandas used for in a data engineering context?
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Data Engineering Weekly
DECEMBER 25, 2023
Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. In conclusion, 2023 has been a year of significant developments and shifts in data engineering.
KDnuggets
DECEMBER 6, 2023
This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, (..)
Knowledge Hut
MARCH 28, 2024
Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.
Knowledge Hut
SEPTEMBER 25, 2023
This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.
Data Engineering Weekly
MARCH 11, 2023
We are back in our Data Engineering Weekly Radio for edition #120. We will take 2 or 3 articles from each week's Data Engineering Weekly edition and go through an in-depth analysis.
Knowledge Hut
DECEMBER 28, 2023
Its comprehensive suite of services can handle data at scale. It’s no surprise that the demand for certified Azure data engineers has skyrocketed. Today, Azure Data Engineer certification is an invaluable asset for those looking to excel in the field of data engineering. Who is an Azure Data Engineer?
Data Engineering Weekly
OCTOBER 30, 2022
Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.
Data Engineering Podcast
AUGUST 28, 2022
Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a monumental undertaking. Orchestration engines are one step in that direction, but they are not a complete solution. The only thing worse than having bad data is not knowing that you have it.
Knowledge Hut
NOVEMBER 17, 2023
Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.
Knowledge Hut
NOVEMBER 2, 2023
Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.
Knowledge Hut
SEPTEMBER 29, 2023
This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do? Moreover, what benefits can you expect from a career in Azure Data Engineering? Why Should You Get an Azure Data Engineer Certification?
DataKitchen
FEBRUARY 27, 2024
Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.
Hepta Analytics
FEBRUARY 14, 2022
Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data.
Monte Carlo
MARCH 24, 2021
As a new or aspiring data engineer, there are some essential technologies and frameworks you should know. How to build a data pipeline? How to clean, transform, and model your data? How to prevent broken data workflows before you get that frantic call from your CEO about her missing data?
Data Engineering Podcast
SEPTEMBER 11, 2022
In this episode he shares his journey from building a consumer product to launching a data pipeline service and how his frustrations as a product owner have informed his work at Hevo Data. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.
Data Engineering Podcast
JULY 3, 2022
Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility. Data teams are increasingly under pressure to deliver.
Christophe Blefari
SEPTEMBER 28, 2023
We need to store, process and visualise data, everything else is just marketing. I often say that data engineering is boring, insanely boring. When you are a data engineer you're getting paid to build systems that people can rely on. For downstream data quality there are also a lot of tools.
Data Engineering Podcast
SEPTEMBER 4, 2022
In this episode Gopal Erinjippurath discusses the data engineering challenges of building and serving those data sets, and how they are distilling complex climate information into consumable facts so you don’t have to be an expert to understand it. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.
Data Engineering Podcast
FEBRUARY 20, 2022
In this episode Guy Yachdav, director of software engineering for ImmunAI, shares the complexities that are inherent to managing data workflows for bioinformatics. With RudderStack you can use all of your customer data to answer more difficult questions and then send those insights to your whole customer data stack.
Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? And many more.
Data Engineering Weekly
DECEMBER 29, 2022
Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise.
Data Engineering Podcast
JULY 17, 2022
In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Support Data Engineering Podcast
Data Engineering Podcast
JANUARY 1, 2022
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Missing data? Missing data?
Data Engineering Podcast
OCTOBER 19, 2020
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?
Data Engineering Podcast
JULY 31, 2022
In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Can you describe what Manta is and the story behind it?
Data Engineering Podcast
MAY 3, 2021
Summary The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. data scientist or data analyst). data scientist or data analyst).
Data Engineering Podcast
OCTOBER 22, 2021
In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are already doing in your data warehouse modeling with dbt, and how they are focusing on bridging the divide between data teams and business teams and the requirements that they have for data workflows.
DataKitchen
JANUARY 25, 2022
When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex.
Data Engineering Podcast
OCTOBER 15, 2021
In this episode they discuss the recent work that has been done by the community, how their work is building on top of that foundation, and how you can get started with DataHub for your own work to manage data discovery today. What are the available events that can be used to trigger actions? How is the governance of DataHub being managed?
Workfall
JUNE 12, 2023
In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data. Data, the lifeblood of organisations, holds the key to unlocking untapped potential and propelling businesses forward. Where Is CDC Used and Who Uses It?
Data Engineering Podcast
APRIL 5, 2021
She explains how the design of the platform is informed by the needs of managing data projects for large and small teams across her previous roles, how it integrates with your existing systems, and how it can work to bring everyone onto the same page. What portions of the data workflow is Atlan responsible for? Here’s Why.
Databand.ai
AUGUST 30, 2023
The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.
Data Engineering Podcast
AUGUST 5, 2019
Announcements Welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.
Monte Carlo
JANUARY 16, 2024
Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!). So how does Fox’s data strategy support these complex data workflows? Image from Castor.
Monte Carlo
JULY 27, 2023
The Expertise and Skills You Bring Engage with product owners and development leads to create testing strategies Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability. Experience with data processing concepts like mapping documents and complex data relationships.
Workfall
JULY 4, 2023
Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.
Ascend.io
DECEMBER 19, 2023
Snowflake’s Data Marketplace : Enriches data pipelines with external data sources, providing access to a diverse range of datasets and services that can be seamlessly integrated into your analytics and data processing workflows. that you can combine to create custom data workflows.
Workfall
JULY 18, 2023
In the vast realm of data engineering and analytics, a tool emerged that felt like a magical elixir. DBT , the Data Build Tool. Think of DBT as the trusty sidekick that accompanies data analysts and engineers on their quests to transform raw data into golden insights.
Netflix Tech
NOVEMBER 14, 2023
This helps overwrite data only when required and minimizes unnecessary reprocessing. As seen above, by chaining these Psyberg workflows, we could automate the catchup for late-arriving data from hours 2 and 6.
Cloudera
SEPTEMBER 21, 2021
Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Take a test drive of Airflow in Cloudera Data Engineering yourself today to learn about its benefits and how it could help you streamline complex data workflows.
Databand.ai
AUGUST 30, 2023
DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.
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