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Streaming Big Data Files from Cloud Storage

Towards Data Science

This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. The code block below demonstrates the use of S5cmd with the concurrency set to 10.

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Creating a Data Pipeline with Spark, Google Cloud Storage and Big Query

Towards Data Science

And that’s the target of today’s post — We’ll be developing a data pipeline using Apache Spark, Google Cloud Storage, and Google Big Query (using the free tier) not sponsored. Google Cloud Storage (GCS) is Google’s blob storage. Setting up the environment All the code is available on this GitHub repository.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20. As a listener to the Data Engineering Podcast you can get a special discount off tickets by using the promo code dataengpod20. Promo Code: depod20 Starburst : ![Starburst

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Top 15 Software Engineer Projects 2023 [Source Code]

Knowledge Hut

Code Example javascript import React, { useState, useEffect } from 'react'; import firebase from 'firebase'; function App() { const [courses, setCourses] = useState([]); useEffect(() => { firebase.database().ref('courses/').on('value', cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image,

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Low-Code Data Connectors and Destinations

Towards Data Science

Get started with Airbyte and Cloud Storage Coding the connectors yourself? But beware, with ever-increasing data sources in your platform, that can only mean the following: Creating large volumes of code for every new connector. Maintaining complex code for every single data connector. Azure Kubernetes Services.

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Top 22 Cloud Computing Project Ideas in 2023 [Source Code]

Knowledge Hut

Source Code: Cloud-Enabled Attendance System Advantages Of a Cloud-Enabled Attendance System: Data and Analytics: You can easily generate reports Flexibility: You can track attendance in a variety of ways Remote management: Cloud-based attendance systems make use of software that can be accessed from anywhere on any device that has Internet access.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2. Source Code: Extracting Inflation Rates from CommonCrawl and Building a Model B.