dbt Developer Hub

JANUARY 14, 2023

dlt is a new Python library for declarative data ingestion which I have wanted to test for some time. This is handled by dlt functions written in Python. dlt handles the data cleaning and normalisation automatically so I can focus on curating and modelling it in dbt. Finally, I will use dbt Core for transformation.

Data Ingestion 52

Data Ingestion Google Cloud Python Cloud 52

dbt Developer Hub

APRIL 30, 2023

I wanted to build prestige in my career. dbt brought code-based tests, integrated CI, efficient development with packages, and global docs. These features have been foundational to the way data teams work, and have allowed data engineers to focus on the most important part of their job: building data pipelines that power the business.

Data Engineering 64

Data Engineering Data Engineer Engineering Finance 64

Data Engineering Weekly

MARCH 26, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real time with your own JavaScript or Python code. Spark attempt to solve this by creating a unified RDD model for streaming and batch; Flink introduces the table format to bridge the gap in batch processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Monte Carlo

MAY 18, 2023

We’ve written extensively on how to analyze the build vs buy decision across the modern data stack, but it’s important to speak specifically about open source data lineage options. Our team attempted to leverage Spline (one of the open source data lineage tools listed here) as a building block. Ok, that is enough caveat emptor.

Metadata 64

Metadata Data Lake Government Data Governance 64

dbt Developer Hub

AUGUST 2, 2023

A enterprise customer I was working with, Jetblue, asked me for help running their dbt models every 2 minutes to meet a 5 minute SLA. Just like you would materialize your sql model as table or view today, you can use materialized_view in your model configuration, dbt_project.yml, and resources.yml files. In production? (If

Datasets 52

Datasets Kafka SQL Cloud 52

Rockset

SEPTEMBER 25, 2020

You can set up a tailable cursor using a library like PyMongo in Python and code similar to what is provided in the example below. In the code above, the documents are referenced in the for loop for doc in cursor: This loop will allow you to access the individual changes on a document by document basis. first = oplog.find().sort('$natural',

MongoDB 52

MongoDB Kafka Database NoSQL 52

ProjectPro

SEPTEMBER 6, 2021

Recommended Web Scraping Tool: For this project, we suggest you use Beautiful Soup ( Python’s open-source library ) as it will allow you to crawl the website and extract the review from the Amazon website using HTML tags. Recommended Web Scraping Tool: Python’s Selenium is suitable for performing web scraping in this project.

Project 52

Project Programming Language Entertainment Python 52

dbt Developer Hub

NOVEMBER 28, 2021

So I challenge you after reading this article to test out your skillsets, think about the code that you find yourself reusing again and again, and build a package. It could contain models that help you model your SaaS dataset in a manner of minutes (I’m looking at you, Fivetran Salesforce package).

Building 52

Building SQL Coding Datasets 52

ProjectPro

JULY 15, 2021

Some of the popular examples of SaaS solutions are Google Docs and Dropbox. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Cloud Computing Delivery Models To work on projects on cloud computing, it is necessary to understand the cloud delivery models.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Data Engineering Podcast

MARCH 25, 2023

The peril is that building a robust and scalable streaming architecture is always more complicated and error-prone than you think it's going to be. RudderStack Transformations lets you customize your event data in real-time with your own JavaScript or Python code. As your business adapts, so should your data. We feel your pain.

MySQL 130

MySQL Python Architecture Machine Learning 130

Datakin

OCTOBER 14, 2021

If you use Datakin to observe your dbt models as they run, you can always know exactly where your datasets came from and how they were created. These are most conveniently found in Docs page of your Datakin instance. python version: 3.9.7 python path: /Users/rturk/projects/stackostudy/dbt-datkin/bin/python3.9

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

Lyft Engineering

JANUARY 30, 2023

By Hakan Baba & Mihir Mathur Photo by Alina Grubnyak on Unsplash Hundreds of millions of real-time decisions are made each day at Lyft by online machine learning models. Making real-time inferences with machine learning (ML) models at scale is complex. We had a monolithic service that was already in-use for serving models.

Machine Learning 92

Machine Learning Systems Python Coding 92

Towards Data Science

FEBRUARY 19, 2024

Image from Unsplash Building a Semantic Book Search: Scale an Embedding Pipeline with Apache Spark and AWS EMR Serverless Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search.

AWS 61

AWS Building Bytes Python 61

dbt Developer Hub

AUGUST 30, 2022

Semantic layer, Python model support, the new dbt Cloud UI and IDE… there’s a lot our product team is excited to share with you at Coalesce in a few weeks. beta: Do you use Python for analytics? including support for dbt models written in Python—is ready to explore ! REGISTER NOW What's new ​ dbt Core v1.3

Programming 52

Programming Consulting Python BI 52

Monte Carlo

FEBRUARY 20, 2024

One thing’s for certain: you definitely don’t want to be writing pipelines in Python anymore. Ease of Use : Known for its user-friendly interface, extensive docs, and large community. Airbyte Cloud offers a usage-based pricing model , charging for the volume of data replicated.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

JANUARY 31, 2024

By the end, you will have the essential ReactJS toolchain installed on Ubuntu and the knowledge to start building excellent React-powered apps right away. For those still unfamiliar, ReactJS is an open-source JS library created by Facebook’s web engineers for building fast, dynamic user interfaces. Exploring React.js Exploring React.js

Coding 52

Coding Project Certification Architecture 52

dbt Developer Hub

NOVEMBER 28, 2021

We build a product based on the standards, conventions, and capabilities that are created there, and at least 70% of our engineering time is spent in contribution. My models process the data so that it's easy to perform analysis and spot trends. But there are tactical uses for this data as well.

Raw Data 52

Raw Data Metadata Datasets Database 52

François Nguyen

APRIL 29, 2021

Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more” From a 10 000 feet view, it looks like a word document but with a web interface. Beyond the tool, the future of the business model is also a question.

BI 130

BI SQL Data Data Science 130

Cloudera

NOVEMBER 3, 2021

We know that every data scientist wants to spend more time exploring data and less time watching a jupyter cell run, but the vast majority of customers that we speak to are not even using GPUs when working with the top 3 most popular algorithms, or the 80% data science that isn’t training models (google data science 80/20 if this is news to you).

Deep Learning 119

Deep Learning Data Science Machine Learning Python 119

Mutt Data

APRIL 11, 2023

But building on top of state of the art models is not enough by itself if you plan on using it in production. Very much alike other ML projects, for this endeavor to thrive, we had to build the capabilities for serving, monitoring and scaling the infrastructure that will serve as the backbone of the model.

Utilities 40

Utilities Python Deep Learning AWS 40

Monte Carlo

MARCH 1, 2022

Our Python SDK gives data engineers programmatic access to Monte Carlo to augment our data observability platform’s lineage, cataloging, and monitoring functionalities. With the release of Pycarlo, data engineers can conveniently and programmatically integrate data observability into their existing workflows using Python.

Python 52

Python Metadata Business Intelligence Data Engineering 52

DoorDash Engineering

MARCH 7, 2023

Building from scratch often requires faster prototyping and customer validation than incremental improvements to an existing system. We knew we’d be deploying a Docker container to Fargate as well as using an Amazon Aurora PostgreSQL database and Terraform to model our infrastructure as code. docker-compose.yml version: '3.8'

AWS 119

AWS PostgreSQL Database SQL 119

Knowledge Hut

JANUARY 12, 2024

It is built on the GPT (Generative Pre-trained Transformer) architecture and is an innovative AI bot that builds a connection between a human and a bot that feels like a natural conversation. ChatGPT responds to questions using a technology known as a large language model (LLM). How Does ChatGPT Code Interpreter Work?

Coding 52

Coding IT Python Data Analysis 52

Rockset

MAY 17, 2019

Creating the static page Keeping with the spirit of simplicity, we'll use vanilla HTML/CSS/JS with a bit of jQuery to build the app's frontend. In fact, if we were instrumenting an existing web app instead of building from scratch, we would just start at this step. Spoiler alert: you can view the results here.)

Building 52

Building SQL NoSQL Data 52

Tweag

MAY 1, 2024

I added dedicated pages to document string interpolation , Import From Derivation , and the syntax that we decided to call lookup paths Alejandro Sánchez Medina ( @alejandrosame ) spent serious time on untangling the enormous section on Python infrastructure in Nixpkgs. That way, we have addressed a good chunk of fundamental use cases.

Architecture 95

Architecture Project Coding Designing 95

Netflix Tech

OCTOBER 30, 2020

I have some days where I am brainstorming and collaborating with amazing colleagues and other days where I can put my headphones on to work out a tough problem or build a dashboard. I honed my SQL and Python skills and implemented a clustering model. One of my favorite things about being an Analytics Engineer is the variety.

Engineering 54

Engineering Food Data Science SQL 54

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. In this model, the content was indexed on the machines responsible for ranking, and queries were sharded accordingly.

Systems 52

Systems Machine Learning Deep Learning Media 52

Rockset

FEBRUARY 14, 2020

In this post I’m going to show you how I tracked the location of my Tesla Model 3 in real time and plotted it on a map. The dataset I’ll be using is a real time location tracker for my Tesla Model 3. The docs also say the request type needs to be POST, so change that in the drop down too as shown in Fig 4. Here’s how it works.

Kafka 40

Kafka SQL Metadata Bytes 40

ProjectPro

DECEMBER 10, 2021

What are the various models available for cloud deployment? Source: Microsoft Azure docs By launching a cloud service instance, Azure cloud services can be utilized to implement multi-tier web-based apps in Azure. List the different cloud deployment models available in Azure. What makes Azure better than AWS?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JULY 30, 2021

Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. What are the various available cloud service models? And link programs to the systems and build data centres. Credits - Amazon Offical Doc on VPC. What is Cloud Computing? What is a cloud VPN?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Snowflake

SEPTEMBER 5, 2023

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. We will be using three basic building blocks: Snowpark ML, the Snowpark Model Registry and Snowpark Container Services.

Medical 121

Medical Python Government Datasets 121

Monte Carlo

MAY 11, 2023

Sure, a well designed UI is a wonderful thing, but when you’re an engineer building on the fly, sometimes you just need a little more flexibility from your resources. Check out our full API reference docs. Monte Carlo SDK Powered by our robust API, the Monte Carlo python SDK takes our developer-friendliness to the next level.

Data Engineering 52

Data Engineering Data Engineer Engineering IT 52