Sat.Oct 08, 2022 - Fri.Oct 14, 2022

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Sparse Matrix Representation in Python

KDnuggets

Leveraging sparse matrix representations for your data when appropriate can spare you memory storage. Have a look at the reasons why, see how to create sparse matrices in with Python, and compare the memory requirements for standard and sparse representations of the same data.

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Is the strategy of joining late-stage startups for the financial upside, a dead end?

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe. Between 2010 to 2021, one of the best strategies for maximizing your total compensation as a software engineer was to follow this recipe: Identify late-stage, fast-growing, private companies which seemed close to going public.

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ClearScape Analytics: Delivering Value Across the Modern Enterprise

Teradata

ClearScape Analytics provides robust functionality giving people across the organization the ability to efficiently execute their roles in the analytics process on a common platform.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Explaining Explainable AI for Conversations

KDnuggets

Something is missing in artificial intelligence – trust.

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Will Facebook / Meta do engineering layoffs?

The Pragmatic Engineer

Part of this article was originally published in The Scoop #27 , for subscribers of The Pragmatic Engineer Newsletter last week. I decided to publish this section for everyone to read after the Business Insider article claiming that 15% of Facebook employees - 12,000 people - may lose their jobs started to spread within the media. The Business Insider article was not specific to software engineers but still spread heavily within tech circles.

More Trending

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Podcast: Scaling DataOps

DataKitchen

The post Podcast: Scaling DataOps first appeared on DataKitchen.

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Mathematics for Machine Learning: The Free eBook

KDnuggets

Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.

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Why a Cookieless Identity Solution is Critical to Future Advertising

Teradata

Implementing a cookieless identity solution will help businesses maintain advertising efforts amid the phaseout of third-party cookies.

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Making The Open Data Lakehouse Affordable Without The Overhead At Iomete

Data Engineering Podcast

Summary The core of any data platform is the centralized storage and processing layer. For many that is a data warehouse, but in order to support a diverse and constantly changing set of uses and technologies the data lakehouse is a paradigm that offers a useful balance of scale and cost, with performance and ease of use. In order to make the data lakehouse available to a wider audience the team at Iomete built an all-in-one service that handles management and integration of the various technolo

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Generative AI Models Explained

AltexSoft

Take a look at the featured image above. Beautiful, isn’t it? The interesting thing is, it isn’t a painting drawn by some famous artist, nor is it a photo taken by a satellite. The image you see has been generated with the help of Midjourney — a proprietary artificial intelligence program that creates pictures from textual descriptions. Neural nets can create images, video, and audio content that not every person can.

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The Complete Free PyTorch Course for Deep Learning

KDnuggets

Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?

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How Product Teams Can Build Empathy Through Experimentation

Netflix Tech

A conversation between Travis Brooks, Netflix Product Manager for Experimentation Platform, and George Khachatryan, OfferFit CEO Note: I’ve known George for a little while now, and as we’ve talked a lot about the philosophy of experimentation, he kindly invited me to their office (virtually) for their virtual speaker series. We had a fun conversation with his team, and we realized that some parts of it might make a good blog post as well.

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Machine Learning Engineers & Operations: Where DevOps Meet Data Science

Elder Research

The post Machine Learning Engineers & Operations: Where DevOps Meet Data Science appeared first on Elder Research.

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Optimizing The Modern Developer Experience with Coder

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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7 Practical Ways to Cut Snowflake Compute Cost

Rockset

The climate changed and everyone quickly noticed how expensive Snowflake is. How Snowflake fails - Benn Stancil Why is Snowflake so expensive - Stas Sajin Snowflake performance challenges - Slim Baltagi Ok, so Snowflake is expensive. But what do I do about it? Avoid frequent updates Optimize for cost-per-query with apps running 24x7 Tune slow queries Reduce auto-suspend to 1 or 2 minutes Build Snowflake chargeback dashboards Try third-party cost analyzers Set resource monitors and spend threshol

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How to Build a Data Science Enablement Team: A Complete Guide

KDnuggets

A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.

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What is Event-Driven Architecture? | Propel Data Analytics Blog

Propel Data

Developers looking to learn about event-driven architectures.

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Picnic Open-sources Error Prone Support

Picnic Engineering

We’re excited to announce that Picnic’s Error Prone Support project is now open-source! Last week, we already shared an in-depth overview of how Picnic has adopted Google’s Error Prone static analysis tool for Java code. In short, it allows us to: Improve the consistency and quality of our Java codebases. Introduce custom checks for code (anti-)patterns we value.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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The Relationship Between Product Manager and UX Designer!

U-Next

Introduction . The Product Manager is the visionary and leader of the product, who leads a team of designers, engineers, and other stakeholders to build a great product interaction design. It is estimated that companies could increase their profits by more than 34 percent when their Product Manager is “fully optimized.” . The role of a Product Manager goes beyond simply managing requirements and specifications.

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A Beginner’s Guide to Web Scraping Using Python

KDnuggets

This article serves as a beginner’s guide to web scraping using Python and looks at the different frameworks and methods you can use, outlined in simple terms.

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Why Upgrade to dbt Cloud over dbt Core?

phData: Data Engineering

So you’ve heard all the talk around dbt , but now you’re working to determine if you should go with dbt Core or dbt Cloud and you’re wanting to know what advantages dbt Cloud has over the free dbt Core offering. Upon a quick trial and look at dbt Cloud, the primary things you might notice are the IDE as well as the ease of managing deployments. However, dbt Cloud offers you much more than that.

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Making Data Intelligent with Microsoft

Striim

I am excited to share with you that Striim is a proud participant in the Microsoft Intelligent Data Platform partner ecosystem as announced at Microsoft Ignite 2022. We have a history of working with Microsoft to help provide our mutual customers with access to enhanced data insights in real time, allowing them to make decisions the moment data is created.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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Shift-Left iOS Testing with Focus Flows

Lyft Engineering

Pain Points of Traditional Automated UI Tests Creating a great modern-day software product requires a shift-left approach to testing by ensuring faster, more frequent, and earlier testing. Shift-left testing is an approach to software testing and system testing in which testing is performed earlier in the lifecycle (i.e., moved left on the project timeline).

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Data Representation for Natural Language Processing Tasks

KDnuggets

In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" Enter the word vector.

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My Summer as a Software Engineering Intern at Pinterest Toronto!

Pinterest Engineering

Khubi Shah | (former) Software Engineer Intern, Shopping Content Mining This summer, I had the incredible opportunity to intern at the one and only Pinterest from the new engineering hub in Toronto! I am a final year undergraduate student from the University of Waterloo, majoring in Computer Science with an AI specialization. Growing up, Pinterest was always my go-to social media platform, as it inspired me with new ideas for food, fashion, design, or anything creative!

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Map and Monitor Your Data Journey

DataKitchen

Can you draw a map of all the paths data takes from source systems to production insight delivery? How many tools, technologies, configurations, and paths do your data take during its production process? What is the ‘run-time lineage’ of data in your organization? The post Map and Monitor Your Data Journey first appeared on DataKitchen.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Install and Run Containers on Linux Virtual Machines – LXD/LXC

WeCloudData

Objectives This tutorial is one part of a containers series of tutorials that will walk the reader through installation of tools that can run applications in containers. By the end of these tutorials the reader will be able to Install services (container engines) that can run containers using tools such as LXD/LXC, Docker, or Podman. […] The post Install and Run Containers on Linux Virtual Machines – LXD/LXC appeared first on WeCloudData.

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A Day in the Life of a Machine Learning Engineer

KDnuggets

What does a day in the life as a machine learning engineer look like for you?

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Why Data Cleaning is Failing Your ML Models – And What To Do About It

Monte Carlo

Precise endeavors must be done to exacting standards in clean environments. Surgeons scrub in, rocket scientists work in clean rooms, and data scientists…well we try our best. We’ve all heard the platitude, “garbage in, garbage out,” so we spend most of our time doing the most tedious part of the job: data cleaning. Unfortunately, no matter how hard we scrub, poor data quality is often too pervasive and invasive for a quick shower.

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How to design and structure dbt metrics: Recommendations for getting started

dbt Developer Hub

IMPORTANT: This document serves as the temporary location for information on how to design and structure your metrics. It is our intention to take this content and turn it into a Guide, like How we structure our dbt projects , but we feel that codifying information in a Guide first requires that metrics be rigorously tested by the community so that best practices can arise.

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The Cloud Development Environment Adoption Report

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.