September, 2023

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Important 4 Data Engineering Skills that don’t get the proper hype.

Medium Data Engineering

First time I tried to shift from Data science and Machine learning to data engineering all my focus was on three main skills : Continue reading on Medium »

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Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise. This article presents the top 20 data engineering project ideas with their source code.

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Why are Cloud Development Environments Spiking in Popularity, Now?

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover a fresh industry trends: Cloud Developent Environments — which is analysis full subscribers have received 3 weeks ago.

Cloud 266
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The future of analytics is written in code

Medium Data Engineering

I started working with data analytics in 2015. Since then, the industry has doubled many times over.

Coding 98
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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Airflow XCOM: The Ultimate Guide

Marc Lamberti

Wondering how to share data between tasks? What are XCOMs in Apache Airflow? Well, you are at the right place. In this tutorial, you will learn about XComs in Airflow. What they are, how they work, how you can define them, how to get them, and more. If you checked my course “Apache Airflow: The Hands-On Guide”, Aiflow XCom should not sound unfamiliar.

More Trending

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An Overview Of The Sate Of Data Orchestration In An Increasingly Complex Data Ecosystem

Data Engineering Podcast

Summary Data systems are inherently complex and often require integration of multiple technologies. Orchestrators are centralized utilities that control the execution and sequencing of interdependent operations. This offers a single location for managing visibility and error handling so that data platform engineers can manage complexity. In this episode Nick Schrock, creator of Dagster, shares his perspective on the state of data orchestration technology and its application to help inform its im

Data 208
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Scala as a Junior Developer

Rock the JVM

By Lucas Nouguier Hey everyone, Daniel here. Lucas’ story is shared by lots of beginner Scala developers, which is why I wanted to post it here on the blog. I’ve watched thousands of developers learn Scala from scratch, and, like Lucas, they love it! If you want to learn Scala well and fast, take a look at my Scala Essentials course at Rock the JVM.

Scala 142
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How Microsoft does Quality Assurance (QA)

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of seven topics from today’s subscriber-only issue on How Big Tech does QA. To get full issues twice a week, subscribe here.

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Threads: The inside story of Meta’s newest social app

Engineering at Meta

Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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Best Practices for LLM Evaluation of RAG Applications

databricks

Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval.

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Getting Started with Scikit-learn in 5 Steps

KDnuggets

This tutorial offers a comprehensive hands-on walkthrough of machine learning with Scikit-learn. Readers will learn key concepts and techniques including data preprocessing, model training and evaluation, hyperparameter tuning, and compiling ensemble models for enhanced performance.

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Building Linked Data Products With JSON-LD

Data Engineering Podcast

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products.

Data 189
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Snowpark ML: The ‘Easy Button’ for Open Source LLM Deployment in Snowflake

Snowflake

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

Python 127
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Working at a Startup vs in Big Tech

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of four topics in today’s subscriber-only The Pulse issue. To get full newsletters twice a week, subscribe here. Willem Spruijt is a software engineer whom I worked on the same team with at Uber in Amsterdam, building payments systems.

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Meta Quest 2: Defense through offense

Engineering at Meta

Meta’s Native Assurance team regularly performs manual code reviews as part of our ongoing commitment to improve the security posture of Meta’s products. In 2021, we discovered a vulnerability in the Meta Quest 2’s Android-based OS that never made it to production but helped us find new ways to improve the security of Meta Quest products. We’re sharing our journey to get arbitrary native code execution in the privileged VR Runtime service on the Meta Quest 2 by exploiting a memory corruption v

Coding 119
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Top 20 Software Development Courses in 2023

Knowledge Hut

As a seasoned software developer with almost a decade of experience in the tech industry, I vividly remember the excitement of taking my first web development course. Back then, I was just starting my journey as a front-end web developer, and that course was a stepping-stone that transformed my career. Today, I am thrilled to share my insights on some of the top software development courses available, hoping to empower aspiring developers like you to find the perfect path to success.

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10 ChatGPT Projects Cheat Sheet

KDnuggets

KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.

Project 127
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Predicting Snow Crab Habitat Using Machine Learning

ArcGIS

In collaboration with NOAA, we used the Presence-Only Prediction (Maxent) tool to predict snow crab habitat under changing climate conditions.

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Streamlit in Snowflake: Build Python data apps on the Data Cloud

Snowflake

As data continues to become more complex, it is critical to have effective ways to present this information. With the explosion of AI/ML, users want to be able to interact with their data and ML models. However, building such data apps has not been easy. Any data practitioner or product owner will attest to how it takes a lot of steps to build a data app.

Python 122
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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of four topics in yesterday’s subscriber-only The Pulse issue. To get full newsletters twice a week, subscribe here. Two weeks ago, a JavaScript runtime and toolkit called Bun was released and took the Node.js world by storm. Bun was mostly built by Jared Sumner , a former Stripe engineer, and recipient of the Thiel Fellowship (a grant of $100,000 for young people to drop out of s

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Deploy Private LLMs using Databricks Model Serving

databricks

We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy.

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Robinhood Announces Purchase of Shares Previously Owned by Emergent Fidelity Technologies

Robinhood

Robinhood Markets. Inc. (Nasdaq:HOOD) today announced that it has successfully purchased all 55,273,469 shares Earlier this year, we shared that our Board of Directors authorized us to pursue purchasing most or all of the 55 million remaining Robinhood shares that Emergent Fidelity Technologies, Ltd. had bought in May 2022. The proposed share purchase underscored the confidence that the Board of Directors and management team have in our business and the success of this effort is another step in

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Top 7 Free Cloud Notebooks for Data Science

KDnuggets

Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

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ArcGIS for Nature-Related Assessments

ArcGIS

This Climate Week renews focus on nature. Learn more about how ArcGIS supports nature-related assessments to run sustainable organizations.

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Securely Connect to LLMs and Other External Services from Snowpark

Snowflake

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Functions or procedures written by users in these languages are executed inside of Snowpark’s secure sandbox environment , which runs on the warehouse.

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Fueling Data-Driven Decision-Making with Data Validation and Enrichment Processes

Precisely

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data. It seems obvious enough, but checking that your data is up to the task and taking any necessary steps to improve and maintain its quality can be easier said than done.

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How Edmunds builds a blueprint for generative AI

databricks

This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds. Long envisioned as a key milestone in computing, we've.

Building 114
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CISSP-ISSAP Certification Salary in 2023: Complete Earnings

Knowledge Hut

In the realm of cybersecurity, the pursuit of expertise is not only a passion but a necessity. As I embarked on the journey to strengthen my skills and broaden my horizons, the Certified Information Systems Security Professional (CISSP) credential emerged as a key qualification for professional recognition. However, achieving the CISSP-Information Systems Security Architecture Professional (ISSAP) specialization demanded more than just dedication—it necessitated guidance through the best CISSP t

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Everything you Need to Become a SAS Certified Data Scientist

KDnuggets

With a shortage of talent and an abundance of opportunity, there’s never been a better time to launch or advance your data science career with the SAS Academy for Data Science. Read on to find out everything you need to become a SAS Certified Data Scientist.

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Old School: Adapting Esri Basemaps for Printed Products

ArcGIS

Esri basemaps are designed to be used at multiple scales, but a static map needs everything in one view. How doe we get around that?

Designing 123
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Power Holistic Customer Insights with Salesforce and Snowflake Data Sharing-Based Integration

Snowflake

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

Data 111
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Data Access API over Data Lake Tables Without the Complexity

Towards Data Science

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. Intro Data lake tables are mostly utilized by data engineering teams using big data compute engines, such as Spark or Flink, as well as by data analysts and scientists creating models and reports with heavy SQL query engines, such as Trino or Redshift.