The Pragmatic Engineer
MAY 1, 2024
This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers. I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. Subscribe to The Pragmatic Engineer to stay up-to-date on what is happening with software engineering, Big Tech, and startups.
Confessions of a Data Guy
APRIL 28, 2024
A few years ago I wasn’t sure, who was going to win, Golang seemed to be popular, and still is for that matter. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about. The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy.
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Data Engineering Podcast
APRIL 28, 2024
Summary Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use.
Seattle Data Guy
APRIL 28, 2024
If you’ve worked in data long enough, then you’ve likely come across the term change data capture. Often called CDC, change data capture involves tracking and recording changes in a database as they happen, and then transmitting these changes to designated targets. This can be crucial because some pipelines, in particular batch pipelines, don’t capture… Read more The post Terms You Should Know If You’re Planning To Use Change Data Capture appeared first on Seattle D
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Christophe Blefari
MAY 2, 2024
My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.
Confessions of a Data Guy
APRIL 28, 2024
I was recently confronted with an interesting conundrum when writing a complex data pipeline. It was an interesting problem that arose from my quest to reduce complexity in part of the design, which found itself creeping into another part, re-enforcing the classic idea of whether you can really make the complexity pea go away, or […] The post If:Else Logic and Complexity – Hiding the Pea. appeared first on Confessions of a Data Guy.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
databricks
MAY 3, 2024
Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.
Data Engineering Weekly
MAY 3, 2024
The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.
Confessions of a Data Guy
APRIL 30, 2024
The post Reaction to Data Engineering Survey for 2024 appeared first on Confessions of a Data Guy.
Snowflake
MAY 2, 2024
To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?
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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
APRIL 29, 2024
This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.
databricks
MAY 1, 2024
The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.
Confessions of a Data Guy
MAY 2, 2024
Have you ever wondered about being explicit in your code vs being vague? I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time. When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy.
Tweag
MAY 1, 2024
tl;dr You may not believe it, but Nix documentation is getting better. Nixpkgs and NixOS still need more time. Table of contents Overview Motivation Statistics Retrospective Thoughts on future work Acknowledgements Overview This is a retrospective of my and many other people’s work on documentation in the Nix ecosystem between October 2022 and March 2024.
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.
Snowflake
MAY 1, 2024
The 2024 Snowflake Startup Challenge began with over 900 applications from startups Powered by Snowflake in more than 100 countries. Our judges narrowed that long list of contenders down to 10, and after much deliberation, they’ve now pared it down to the final three. We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai by Extropy360 will advance to the Snowflake Startup Challenge finale and compete for the opportunity to receive a share of up to $1 million in
databricks
APRIL 30, 2024
A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.
Confessions of a Data Guy
APRIL 30, 2024
What is going on? Is the world coming to an end? I thought Python was going to live forever. Well, apparently not at Google. Recently Google announced it was laying off its entire North American-based Python team that was supporting Google’s special needs with Python, in favor of cheaper offshore workers. Apparently, some of these […] The post Google Fires Python.
KDnuggets
MAY 3, 2024
Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.
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.
Knowledge Hut
MAY 3, 2024
Agile methodology is a simple, flexible, and iterative product development model with the distinct advantages of accommodating new requirement changes and incorporating the feedback of the previous iterations over the traditional waterfall development model. Agile methodology is the most popular and dynamic software product development and project maintenance model.
databricks
APRIL 30, 2024
We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.
ArcGIS
APRIL 30, 2024
ArcGIS Pro 3.3 requires WebView2 Runtime as an installation prerequisite. Here's how to make sure you have it.
KDnuggets
MAY 1, 2024
Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.
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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.
Knowledge Hut
MAY 3, 2024
Any coding interview is a test that primarily focuses on your technical skills and algorithm knowledge. However, if you want to stand out among the hundreds of interviewees, you should know how to use the common functionalities of Python in a convenient manner. Before moving ahead, read about Self in Python and what is markdown ! The type of interview you might face can be a remote coding challenge, a whiteboard challenge or a full day on-site interview.
databricks
MAY 1, 2024
Modern data stacks provide the necessary flexibility and efficiency for analytics and AI. Learn how the Databricks Data Intelligence Platform makes use of them.
Snowflake
MAY 2, 2024
Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake.
KDnuggets
APRIL 30, 2024
Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation
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.
Knowledge Hut
MAY 2, 2024
The work scenario today is stretching workplace flexibilities to accommodate the needs of professionals. Globally stationed offices have also made extending flexible workplaces a norm. Working remotely is the new trend that is transcending industries. While working remotely comes with its own set of benefits, it isn’t well-suited for some industries or professions.
databricks
MAY 1, 2024
The Databricks Data Intelligence Platform offers unparalleled flexibility, allowing users to access nearly instant, horizontally scalable compute resources. This ease of creation can.
Snowflake
APRIL 29, 2024
As the cybersecurity threat landscape continues to evolve globally, organizations operating in the financial sector are seeing regulations shift to address the associated risks, and none may prove more impactful than the European Union’s (EU) Digital Operational Resilience Act (DORA). This regulation aims to strengthen the operational resilience of financial entities (FEs), and their third-party information and communication technology (ICT) providers.
KDnuggets
APRIL 30, 2024
Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.
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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