Wed.Sep 20, 2023

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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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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.

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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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What's new on the cloud for data engineers - part 11 (06-09.2023)

Waitingforcode

It's time for another part of "What's new on the cloud for data engineers" Let's see what happened in the last 4 months.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Hands-On with Unsupervised Learning: K-Means Clustering

KDnuggets

This tutorial provides hands-on experience with the key concepts and implementation of K-Means clustering, a popular unsupervised learning algorithm, for customer segmentation and targeted advertising applications.

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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.

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Career stories: Influencing engineering growth at LinkedIn

LinkedIn Engineering

Since learning frontend and backend skills, Rishika’s passion for engineering has expanded beyond her team at LinkedIn to grow into her own digital community. As she develops as an engineer, giving back has become the most rewarding part of her role. From intern to engineer—life at LinkedIn My career with LinkedIn began with a college internship, where I got to dive into all things engineering.

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KDnuggets News, September 20: Python in Excel: This Will Change Data Science Forever • New KDnuggets Survey!

KDnuggets

Python in Excel: This Will Change Data Science Forever • KDnuggets Survey: Benchmark With Your Peers On Data Science Spend & Trends 2023 H2 • 5 Best AI Tools For Maximizing Productivity • And much more!

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Building for Inclusivity: The Technical Blueprint of Pinterest’s Multidimensional Diversification

Pinterest Engineering

Pedro Silva | Sr. ML Engineer & Inclusive AI Tech Lead; Bhawna Juneja | Sr. Machine Learning Engineer; Rohan Mahadev | Machine Learning Engineer II; Sujay Khandagale | Machine Learning Engineer II; Abhay Varmaraja | Machine Learning Engineer II Pinterest’s mission as a company is to bring everyone the inspiration to create a life they love. “Everyone” has been the north star for our Inclusive AI and Inclusive Product teams.

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Kick Ass Midjourney Prompts with Poe

KDnuggets

Try out this Poe chatbot to refine your Midjourney prompts, and (hopefully?) get some kick ass image generation results!

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Orchestrating Data Analytics with Databricks Workflows

databricks

For data-driven enterprises, data analysts play a crucial role in extracting insights from data and presenting it in a meaningful way. However, many.

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Fine Tuning LLAMAv2 with QLora on Google Colab for Free

KDnuggets

Learn how to fine-tune one of the most influential open-source models for free on Google Colab.

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Google Pub/Sub to BigQuery the Simple Way

Towards Data Science

A hands-on guide to implementing BigQuery Subscriptions in Pub/Sub for simple message and streaming ingestion Continue reading on Towards Data Science »

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Robinhood Offers The Most Crypto for Your Buck. We Had Experts Check the Math. 

Robinhood

Customers could get up to 3.5% more crypto on Robinhood* Ahead of Mainnet 2023 in New York City, Robinhood announced the results of a study—verified by Radius Insights —showing that Robinhood offers the lowest cost to trade crypto on average. The analysis compares prices quoted from top platforms and exchanges, including Cash App, Coinbase Advanced, Coinbase, Crypto.com, and Kraken, concluding that customers could receive up to 3.5% more crypto on Robinhood.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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ADP Enables Dynamic Benchmarking of Human Capital Management Metrics with Snowflake

Snowflake

ADP provides products, services and experiences that simplify work for more than 1 million clients in 140 countries. Large and small organizations across virtually every industry rely on ADP’s cloud-based human capital management (HCM) solutions to streamline HR, payroll, time, tax and benefits administration. Self-service HCM analytics help ADP’s clients understand workforce trends and benchmark their metrics against aggregated, anonymized data from over 30 million employee records.

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AI and Data Streaming: Essential Resources for Developers

Confluent

Explore the intersection of AI and data streaming with essential resources for developers. Discover recorded talks, blog posts, and upcoming events to boost your knowledge.

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Locked by another application using ArcPy and a File geodatabase

ArcGIS

Data management tips and tricks for managing locks in a temporary file geodatabase with automated workflows.

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Apache Hop 2.6.0 is available!

know.bi

Apache Hop 2.6.0 is available: Apache Beam upgrade, Google Dataflow docs and new transforms for Google Analytics 4 and Google Sheets Input and Output.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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PostgreSQL on Amazon RDS to Amazon Aurora: 2 Ways to Integrate Data

Hevo

In today’s data-driven world, organizations are constantly seeking innovative solutions to ensure data availability, reliability, and scalability. While PostgreSQL on Amazon RDS is a preferable choice to set up and operate relational databases in the cloud, Amazon Aurora allows distributed storage for downstream applications.

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ON DEMAND WEBINAR: Automated Test Generation – Why Data Teams Need It

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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Connect PostgreSQL on Amazon RDS to Databricks: 2 Ways to Integrate Data

Hevo

Amazon RDS, with its support for the PostgreSQL database, is a popular choice for businesses looking for reliable relational database services. However, the increasing need for advanced analytics and large-scale data processing requires migrating data to more efficient platforms like Databricks.

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Acceldata & Databricks Partner to Enhance Lakehouse Observability

Acceldata

Acceldata and Databricks are collaborating to deliver enhanced data observability for Databricks lakehouses.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Behind the scenes with FawltyDeps v0.13.0: Matching imports with dependencies

Tweag

We have previously introduced FawltyDeps , a tool to help Python projects avoid the dreaded, and seemingly unavoidable state, where dependencies declared in the configuration do not match those actually imported in the code 1. FawltyDeps is the perfect addition to your CI, your pre-commit hooks, or your dependency management arsenal. Curious to know how FawltyDeps works its magic?

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LF Europe Summit Journal - Day Two by Colin Eberhardt

Scott Logic

This year I’m attending the Linux Foundation Europe Summit, a sizable event bringing together 1,000s of people involved in open source. I typically take extensive notes of the sessions I attend, so thought I’d share them here on our blog. This is day two of my journal, while yesterday it was all about OSPOs, SBOM security, and AI , today was packed with surveys, statistics and the fragility of the node ecosystem.

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