Start Data Engineering
SEPTEMBER 4, 2024
1. Introduction 2. Key parts of data systems: 2.1. Requirements 2.2. Data flow design 2.3. Orchestrator and scheduler 2.4. Data processing design 2.5. Code organization 2.6. Data storage design 2.7. Monitoring & Alerting 2.9. Infrastructure 3. Conclusion 1. Introduction If you are trying to break into (or land a new) data engineering job, you will inevitably encounter a slew of data engineering tools.
Seattle Data Guy
SEPTEMBER 3, 2024
One of the holy grails that many data teams seem to chase is real-time data analytics. After all, if you can have real-time analytics, you can make better decisions faster. However, there often is a conflation between real-time data analytics and stream processing. These are two different concepts that are crucial to understanding how to… Read more The post Real-time Analytics Vs Stream Processing – What Is The Difference?
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Confessions of a Data Guy
SEPTEMBER 4, 2024
Over the many years I’ve been pounding my keyboard … Perl, PHP, Python, C#, Rust … whatever … I, like most programmers, built up a certain disdain for what is called Low Code / No Code solutions. In my rush to worship at the feet of the code we create, I failed, in the beginning, […] The post Streaming Postgres data to Databricks Delta Lake in Unity Catalog appeared first on Confessions of a Data Guy.
databricks
SEPTEMBER 5, 2024
An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
SEPTEMBER 2, 2024
Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.
Engineering at Meta
SEPTEMBER 4, 2024
We are working in partnership with others to scale inclusive solutions that support the transition to a zero-carbon economy and help create a healthier planet for all.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
databricks
SEPTEMBER 5, 2024
Maintaining heavy equipment assets, such as oil rigs, agricultural combines, or fleets of vehicles, poses an extremely complex challenge for global companies. These.
Cloudyard
SEPTEMBER 2, 2024
Read Time: 1 Minute, 36 Second Snowflake’s support for Python stored procedures allows data engineers and scientists to leverage Python’s vast ecosystem directly within Snowflake. This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries. One particularly powerful feature is the ability to import and use Python files (.py) directly within a Snowflake stored procedure, which promotes code modularity, reusability, and better organi
Confluent
SEPTEMBER 5, 2024
Dive into Kafka internals with a four-part series examining client requests and brokers. Part 1 covers what a producer does to prepare raw event data for the broker.
KDnuggets
SEPTEMBER 5, 2024
A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
databricks
SEPTEMBER 5, 2024
We recently announced the General Availability of our serverless compute offerings for Notebooks, Jobs, and Pipelines. Serverless compute provides rapid workload startup, automatic.
Scott Logic
SEPTEMBER 4, 2024
Our team had previously built a tool to investigate code quality from PR data. Building on this work, we set about finding a method to detect AI-written code, so we could investigate any potential differences in code quality between human and AI-written code. During our time on this project, we learnt some important lessons, including just how hard it can be to detect AI-written code, and the importance of good-quality data when conducting research.
ArcGIS
SEPTEMBER 6, 2024
Learn more about how to use response caching for hosted feature services in ArcGIS Enterprise.
KDnuggets
SEPTEMBER 3, 2024
Let's see how to perform cross-correlation in NumPy, a method for measuring the similarity or relationship between two sequences of data as one is shifted in relation to the other.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
databricks
SEPTEMBER 4, 2024
Data teams spend way too much time troubleshooting issues, applying patches, and restarting failed workloads. It's not uncommon for engineers to spend their.
Data Engineering Weekly
SEPTEMBER 2, 2024
Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity. Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).
Hevo
SEPTEMBER 4, 2024
A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.
KDnuggets
SEPTEMBER 3, 2024
Explainable AI (XAI) makes it easier to understand how AI decisions are made. This introduction explains what XAI is and why it matters.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
databricks
SEPTEMBER 1, 2024
Terms like “data governance,” “Generative AI” and “large language models” are becoming commonplace in the workplace. But for business leaders, it takes more.
Precisely
SEPTEMBER 6, 2024
How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected? How easily could you prove your compliance if audited? GDPR states that personal data must not be kept longer than the purpose for which it was collected and processed.
Confluent
SEPTEMBER 4, 2024
How to use Flink AI model inference with familiar SQL syntax to work directly with LLMs and vector databases for your generative AI use cases.
KDnuggets
SEPTEMBER 6, 2024
A beginner's guide to A/B testing by FAANG data scientists.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
databricks
SEPTEMBER 2, 2024
Rivian chose to modernize its data infrastructure on the Databricks Data Intelligence Platform, giving it the ability to unify all of its data into a common view for downstream analytics and machine learning.
Precisely
SEPTEMBER 5, 2024
HP Hood, Johnson & Johnson Vision, Loparex, Pactiv Evergreen, South Florida Water Management District, and Refresco share efficiencies and insights gained with Precisely Precisely hosted events during SAP Sapphire week in Orlando, FL – including an Automate User Group meeting, or “Inspiration Day.” These quarterly events bring Precisely Automate customers together to share knowledge, insights, and real-world results.
ArcGIS
SEPTEMBER 2, 2024
Amerley Ampofo with MTN Ghana provides incredible insight into her geospatial story, the telco world, and her thoughts about leadership.
KDnuggets
SEPTEMBER 6, 2024
Learn how to install Stable Diffusion WebUI Forge easily and set up the FLUX.1 [dev] model for local use on a laptop.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
databricks
SEPTEMBER 1, 2024
Within the Databricks Community, there is a technical blog where community members share best practices, tutorials and insights on data analytics, data engineering.
Precisely
SEPTEMBER 4, 2024
According to the Women in Tech Network , women make up about 35 percent of the tech workforce. While this number has grown over the years, it still indicates that technology is a male-dominated industry. Precisely is committed to creating a supportive environment for women to build their careers so that this number can continue growing. As a result, the Precisely Women in Technology (PWIT) network was developed.
Towards Data Science
SEPTEMBER 3, 2024
Understand how batch can be considered a subset of streaming and why data engineering should simplify its usage significantly Continue reading on Towards Data Science »
KDnuggets
SEPTEMBER 2, 2024
Scaling data science projects can be difficult. This article explores challenges and strategies for managing large-scale data.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
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