Start Data Engineering
SEPTEMBER 18, 2024
1. Introduction 2. Setup 3. Parts of data engineering 3.1. Requirements 3.1.1. Understand input datasets available 3.1.2. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Identify what tool to use to process data 3.3. Data flow architecture 3.
The Pragmatic Engineer
SEPTEMBER 19, 2024
This is a follow-up to the article Paying down tech debt , written by industry veteran Lou Franco. Lou has been in the software business for over 30 years as an engineer, EM, and executive. He’s also worked at four startups and the companies that later acquired them; most recently Atlassian as a Principal Engineer on the Trello iOS app. Later this year, he’s publishing a book on tech debt.
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Jesse Anderson
SEPTEMBER 18, 2024
Survey Changes Over Time Between 2020 and 2024 (see 2020, 2023, and 2024 for each year’s information), I’ve been conducting a data teams survey. I wanted to dedicate an entire post to examining the change in data teams over time. Total Value Creation The most important question I ask each year concerns data team value creation. I break the question into two parts: “How successful would the business say your projects are?
Seattle Data Guy
SEPTEMBER 20, 2024
We are still in the early days of data and the value it can add to companies. You’ll read plenty of statistics about how much value data can drive and how far behind companies that aren’t using data are. And as a data consultant, I have helped companies find that value in their data. It… Read more The post How To Modernize Your Data Strategy And Infrastructure For 2025 appeared first on Seattle Data Guy.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Confessions of a Data Guy
SEPTEMBER 19, 2024
It is a Brave New World out there these days. The new tools and features come out faster than your mom on Sunday morning getting you ready for church. The same goes for the context and advice being produced on a myriad of platforms, the ole’ Like and Subscribe, and all that bit. It does […] The post Data Modeling in the Brave New Lakehouse World appeared first on Confessions of a Data Guy.
databricks
SEPTEMBER 19, 2024
Mosaic AI Model Training now supports fine-tuning up to 131K context length for Llama 3.1 models. More efficient training at long sequence lengths is made possible by several optimizations highlighted in this post.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Netflix Tech
SEPTEMBER 18, 2024
Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability.
Data Engineering Weekly
SEPTEMBER 18, 2024
Click the Link Below to Get Your Free Data Observability Buyers Guide: [link] The Buyer Guide for Data Observability is out. Please feel free to make a copy or comment to add more criteria. I w ant to extend my gratitude to the Data Heroes Community for their valuable insights and discussions, which served as the foundation for this piece. The points and thoughts shared here are largely drawn from the community's collective knowledge and contributions.
databricks
SEPTEMBER 18, 2024
The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!
KDnuggets
SEPTEMBER 20, 2024
Data come from everywhere, and the number of origins, sources, and formats under which valuable data may appear underscores the need for database management tools capable of loading data from multiple sources. This tutorial illustrates how to load datasets from different formats and sources into Google BigQuery. All the prerequisites we need are having registered.
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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?
ArcGIS
SEPTEMBER 18, 2024
Learn the difference between ArcGIS Data Interoperability and FME technology and how they relate to one another.
Engineering at Meta
SEPTEMBER 17, 2024
This episode of the Meta Tech Podcast is all about Bento , Meta’s internal distribution of Jupyter Notebooks, an open-source web-based computing platform. Bento allows our engineers to mix code, text, and multimedia in a single document and serves a wide range of use cases at Meta from prototyping to complex machine learning workflows. Pascal Hartig ( @passy ) is joined by Steve, whose team has built several features on top of Jupyter, including scheduled notebooks , sharing with colleagues, and
databricks
SEPTEMBER 19, 2024
The value of Generative AI, the deepened investment Databricks has made in the space, and how customers have benefited from the certification.
KDnuggets
SEPTEMBER 16, 2024
Image by Editor | Ideogram Let’s learn how to perform time series data aggregation in Pandas. Preparation We would need the Pandas and Numpy packages installed, so we can install them using the following code: pip install pandas numpy With the packages installed, let’s jump into the article. Time Series.
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.
Confluent
SEPTEMBER 17, 2024
Bring data streaming to your product or service quickly and confidently with unified Apache Kafka® and Apache Flink®, backed by the original creators of Kafka.
Cloudera
SEPTEMBER 18, 2024
According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision.
databricks
SEPTEMBER 17, 2024
Today, we are excited to announce the support for named parameter markers in the SQL editor. This feature allows you to write parameterized.
KDnuggets
SEPTEMBER 19, 2024
ggplot2 is a tool in R for making charts. You can create charts with dots, bars, or lines. You can also add layers to show more details. This article will help you learn how to use ggplot2 to create visualizations. Getting started with ggplot2 Before using ggplot2, you need to install it and.
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.
Snowflake
SEPTEMBER 19, 2024
Data is increasingly becoming critical for the public sector — from guiding decisions in higher education to enhancing citizen services and streamlining government operations. Government agencies are overwhelmed with data, whether it be structured, like incident logs, or unstructured, like satellite images. Harnessing the vast amount of data can become a burden for any organization, yet the insights have the potential to significantly improve quality of life and strengthen national security.
Zalando Engineering
SEPTEMBER 16, 2024
Introduction Zalando Marketing Services (ZMS) is Zalando's advertising platform. It helps brands create and manage campaigns on Zalando, increasing their visibility and improving performance at every stage of the marketing funnel, from awareness to purchase, within the Zalando marketplace. At ZMS, we're constantly innovating to optimize the advertising experience on Zalando homepage.
databricks
SEPTEMBER 18, 2024
At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.
KDnuggets
SEPTEMBER 20, 2024
Rapid development is happening around us, and one of the most interesting aspects of this evolution is artificial intelligence's ability to communicate through natural language with humans. Suppose you want to communicate with some LLM running on your computer without switching between applications or windows, just by using a voice hotkey. This is exactly what.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Snowflake
SEPTEMBER 18, 2024
As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.
Precisely
SEPTEMBER 19, 2024
Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications. Using AI systems to analyze and improve data quality both benefits and contributes to the generation of high-quality data.
databricks
SEPTEMBER 20, 2024
Special thanks to Daniel Benito (CTO, Bitext), Antonio Valderrabanos(CEO, Bitext), Chen Wang (Lead Solution Architect, AI21 Labs), Robbin Jang (Alliance Manager, AI21 Labs).
KDnuggets
SEPTEMBER 16, 2024
Image by Author If you’re in the tech industry (or are attempting to transition into the field), LLMs are a must-learn. Companies have started integrating language models into their workflows to improve efficiencies and cut costs. Due to this, there have been a number of new AI job openings. New roles have begun to.
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.
Snowflake
SEPTEMBER 16, 2024
As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers , according to the StackOverflow 2024 Developer Survey.
Zalando Engineering
SEPTEMBER 17, 2024
Introduction At Zalando, we strive to discover valuable use cases that benefit our customers and stakeholders by using AI-based approaches. Our team's primary mission is to enable content creation teams to produce and integrate best-in-class content for our customers in the most efficient way. We are building tools that streamline the content creation journey - from photo shooting, copyrighting to submission articles in Zalando shop in compliant way.
databricks
SEPTEMBER 18, 2024
Transformer models, the backbone of modern language AI, rely on the attention mechanism to process context when generating output. During inference, the attention.
KDnuggets
SEPTEMBER 18, 2024
Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.
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.
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