phData: Data Engineering

DECEMBER 18, 2023

Data engineering refers to the design of systems that are capable of collecting, analyzing, and storing data at a large scale. In manufacturing, data engineering aids in optimizing operations and enhancing productivity while ensuring curated data that is both compliant and high in integrity. The increased efficiency in data “wrangling” means that more accurate modeling and planning may be done, enabling manufacturers to make stronger data-driven decisions.

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The Pragmatic Engineer

DECEMBER 18, 2023

I get asked every now and then if I offer 1:1 mentoring for either software engineers or engineering managers or leaders. While I used to do this in the past, I don't offer this any more. I collected much of the advice I have to offer for software engineers in The Software Engineer's Guidebook. I also write The Pragmatic Engineer Newsletter where I do cover topics like what it means to be a senior engineer at various companies , how to deal with a low-quality engineering culture , and

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Analytics Vidhya

DECEMBER 18, 2023

Introduction Docker containers have emerged as indispensable tools in the fast-evolving landscape of software development and deployment, providing a lightweight and efficient way to package, distribute, and run applications. This article delves into the top 20 Docker containers across various categories, showcasing their features, use cases, and contributions to streamlining development workflows.

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Data Engineering Podcast

DECEMBER 17, 2023

Summary The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. The reality was that it left data teams in the position of spending all of their engineering effort on integrating systems that weren't designed with compatible user experiences. The team at 5X understand the pain involved and the barriers to productivity and set out to solve it by pre-integrating the best tools from each layer of the s

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Waitingforcode

DECEMBER 19, 2023

Even though nowadays data processing frameworks and data stores have smart query planners, they don't take our responsibility to correctly design the job logic.

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The Pragmatic Engineer

DECEMBER 21, 2023

2023 was the second full year of The Pragmatic Engineer Newsletter , and this newsletter is now almost two and a half years old; the first issue came out on 26 August 2021. Thank you for being a reader, I greatly value your support. This year, 102 newsletter issues were published, and this is number 103. You received a deepdive issue on Tuesdays, and every Thursday it was  “The Pulse”  – formerly The Scoop.

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Engineering Software Engineer Software Engineering Project 177

KDnuggets

DECEMBER 20, 2023

We've partnered with Springboard, the leading data science bootcamp offering personalized 1:1 mentorship, dedicated career support, proven outcomes, and an unbeatable money-back job guarantee, to present a handpicked collection of resources to supercharge your data science journey in the coming year.

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Confessions of a Data Guy

DECEMBER 21, 2023

Sometimes I just need something new and interesting to work on, to keep me engaged. A few days ago I was lying by the river next to a fire, with the cold air blowing on my face and the eagles soaring above. Thinking about and contemplating life and data engineering … something flitted across my […] The post Datafusion SQL CLI – Look Ma, I made a new ETL tool. appeared first on Confessions of a Data Guy.

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ETL Tools SQL Data Engineer Data Engineering 113

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Max Kanat-Alexander and Grant Jenks Today we are open-sourcing the LinkedIn Developer Productivity & Happiness Framework (DPH Framework) - a collection of documents that describe the systems, processes, metrics, and feedback systems we use to understand our developers and their needs internally at LinkedIn. Now more than ever, developers are navigating so much change and new opportunity in this new era of Generative AI, so ensuring teams have the systems, processes, metrics and f

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Data Schemas Software Engineer Software Engineering Data Pipeline 121

databricks

DECEMBER 21, 2023

Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs. In this post, we're highlighting some key areas where our collaboration with NVIDIA has been particularly important.

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Python 122

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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?

Business Intelligence

KDnuggets

DECEMBER 22, 2023

Here are our top posts of 2023, including: 5 Free Books to Master Data Science • 5 Free Courses to Master Machine Learning • 3 Ways to Access GPT-4 for Free • and much more!

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Snowflake

DECEMBER 20, 2023

The rise of generative AI (gen AI) is inspiring organizations to envision a future in which AI is integrated into all aspects of their operations for a more human, personalized and efficient customer experience. However, getting the required compute infrastructure into place, particularly GPUs for large language models (LLMs), is a real challenge. Accessing the necessary resources from cloud providers demands careful planning and up to month-long wait times due to the high demand for GPUs.

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ThoughtSpot

DECEMBER 19, 2023

2023 has been a year of breakthrough innovation for many, and a deer-in-headlights moment for others. I keep flashing back to the 90s when the Internet created new businesses and destroyed others—LLMs are doing the same, only with more velocity. From CDAOs to VCs alike, the rate of creative destruction is faster, but there is also an intense focus on value.

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databricks

DECEMBER 21, 2023

We are excited to announce that Gartner has recognized Databricks as a Leader for a third consecutive year in the 2023 Gartner® Magic.

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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.

Data

Engineering at Meta

DECEMBER 19, 2023

HawkEye is the powerful toolkit used internally at Meta for monitoring, observability, and debuggability of the end-to-end machine learning (ML) workflow that powers ML-based products. HawkEye supports recommendation and ranking models across several products at Meta. Over the past two years, it has facilitated order of magnitude improvements in the time spent debugging production issues.

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Snowflake

DECEMBER 18, 2023

When businesses share sensitive first-party data with outside partners or customers, they must do so in a way that meets strict governance requirements around security and privacy. Data clean rooms have emerged as the technology to meet this need, enabling interoperability where multiple parties can collaborate on and analyze sensitive data in a governed way without exposing direct access to the underlying data and business logic.

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Cloud Building Entertainment Government 118

Knowledge Hut

DECEMBER 22, 2023

Technology is evolving at breakneck speed, and the information we consume every day continues to grow exponentially with every passing day. Analyzing this complex mountain of data to make the right decisions informed by this data has become ever more challenging. Traditional models of project management , like the waterfall method and hierarchical team structures are too rigid to respond to the fast-paced change organizations are facing today.

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Machine Learning Portfolio Cloud Computing Certification 105

databricks

DECEMBER 21, 2023

Today, Databricks is excited to announce support for Mixtral 8x7B in Model Serving. Mixtral 8x7B is a sparse Mixture of Experts (MoE) open.

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Engineering 127

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.

Manufacturing

KDnuggets

DECEMBER 18, 2023

Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

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Python 142

ArcGIS

DECEMBER 20, 2023

Check out this blog to see how we enhanced several geoprocessing controls with additional features and new designs in ArcGIS Pro 3.2.

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Designing 115

Knowledge Hut

DECEMBER 22, 2023

Wondering what it would take for your business to become a pioneer in web development this year? Below are the top web development trends that are unmissable in 2024. Whether you are a full stack developer or have an organization that implements full stack, the list below can be quite handy. Web Development Trends In 2024 1. Voice Search Benefits: Improved User Experience Accessibility Hands-free Interaction Faster Search Results Examples: Integrating voice-enabled search boxes or chatbots on we

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Scott Logic

DECEMBER 17, 2023

Introduction In our continuous pursuit of refining Scottbot, our LLM-powered chatbot , we have encountered and overcome various challenges. The implementation of Test-Driven Development practices and comprehensive testing, a topic previously explored in a dedicated blog , was a particularly difficult one due to the non-deterministic nature of the Language Learning Models (LLMs).

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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.

Cloud

KDnuggets

DECEMBER 19, 2023

There are many data-learning materials locked up behind expensive books. These cheap books would bolster your skills without blowing up your savings.

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Data Science Data 131

Snowflake

DECEMBER 21, 2023

Welcome to Snowflake’s Startup Spotlight, where we feature awesome companies building businesses on Snowflake. In this edition, Patch.tech Co-Founder and CPO Whelan Boyd talks about how frustration with clogged data pipelines sparked the idea for Patch’s code packages, which allow engineers to distribute data sets with all the built-in elements that analysts and developers need to create apps.

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Knowledge Hut

DECEMBER 22, 2023

What is SAFe® ? Traditional Agile has always had an assumption of small teams. In recent years, several approaches (Large-scale Scrum (LeSS), Scrum @ Scale and Scaled Agile Framework (SAFe®) have evolved. The Scaled Agile Framework (SAFe®) is a set of organization and workflow patterns intended to guide enterprises in scaling lean and agile practices.

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Certification Portfolio Education Programming 98

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. These clusters are the backbone for storing and processing extensive data volumes, empowering us to deliver essential features and services to members, such as personalized recommendations, enhanced search functionality, and valuable insights.

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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.

Systems

KDnuggets

DECEMBER 22, 2023

Learn how to integrate advanced AI multimodal models into your project using a simple Python API.

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Accessible Accessibility Python Project 150

databricks

DECEMBER 19, 2023

Request a meeting with Databricks executives/thought leaders at NRF! Each January, thousands of leaders from retailers around the globe gather at Javits Center.

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Knowledge Hut

DECEMBER 22, 2023

We live in a fast-paced world, where now, changes are happening within moments, not months, and definitely not years. This rapidly changing world urges us to use dynamic approaches for better outcomes within less time. Among one of these approaches, Scrum stands out! Considered as one of the most agile frameworks by businesses for obvious reasons – Scrum helps to enhance productivity and offer practical customer value.

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Cloudera

DECEMBER 19, 2023

Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.

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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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