Data Engineering Weekly

APRIL 13, 2025

link] Sponsored: The Ultimate Guide to Apache Airflow® DAGs Download this free 130+ page eBook for everything a data engineer needs to know to take their DAG writing skills to the next level (+ plenty of example code).

Data Engineering 62

Data Engineering Data Engineer Engineering Datasets 62

Pinterest Engineering

APRIL 7, 2025

For these use cases, typically datasets are generated offline in batch jobs and get bulk uploaded from S3 to the database running on EC2. Petabytes of data are downloaded into the database service on a daily basis. We leverage AWS SDK (C++) when downloading data from S3. In the database service, the application reads data (e.g.

AWS 60

AWS Bytes Database Data Ingestion 60

Precisely

MARCH 20, 2025

Data enrichment is the process of augmenting your organizations internal data with trusted, curated third-party datasets. The Multiple Data Provider Challenge If you rely on data from multiple vendors, you’ve probably run into a major challenge: the datasets are not standardized across providers. What is data enrichment?

Insurance 68

Insurance Datasets Data Programming 68

DataKitchen

FEBRUARY 17, 2025

Writing comprehensive data quality tests across all datasets is too costly and time-consuming. Businesses can apply these custom tests flexibly across multiple datasets without reinventing validation logic for each use case by treating these custom tests as structured templates rather than hardcoded rules. Download Now Request Demo

SQL 74

SQL Python Government Data Engineering 74

Christophe Blefari

JULY 15, 2023

Yesterday I found a way to get sensor data of half of the Tour de France peloton, I was sure it was a good dataset to explore new tools with. And it's honestly a great dataset but it's a bit hard to download and format all the data for exploration. And here we are on Saturday. So it will be for later.

Datasets 130

Datasets Python Machine Learning Data 130

Cloudera

MAY 19, 2021

To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset. The dataset can be downloaded from: [link]. Now we have all our parquet datasets to continue on our RAPIDS journey. pip install -r requirements.txt.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

MAY 29, 2024

The choice of datasets is crucial for creating impactful visualizations. The dataset selection depends on goals, context, and domain, with considerations for data quality, relevance, and ethics. In this article, we will discuss the best datasets for data visualization. Census Bureau The U.S.

Datasets 52

Datasets Transportation Entertainment Media 52

Towards Data Science

OCTOBER 21, 2023

Especially if you’ve used OSMnx before (for very similar usecases), you know that large datasets take a very long time to load into memory, which is where PyrOSM can help you work with them. In fact, if you wanted, you could download the entirety of Open Street Maps data into one file, known as Planet (around 1000 Gb of data)! ?‍?

Datasets 98

Datasets Data Data Science Python 98

Towards Data Science

JANUARY 27, 2025

Project explanation The dataset for this project was reading data from my personal Goodreads account; it can be downloaded from my GitHub repo. If you use Goodreads, you can export your own data in CSV format, substitute it for the dataset provided, and explore it with the code for this tutorial. build(model).run()

Building 53

Building Datasets Coding Data 53

Towards Data Science

JANUARY 26, 2023

Direct Download from Amazon S3 In this post, we will assume that we are downloading files directly from Amazon S3. There a number of methods for downloading a file to a local disk. Boto3 File Download The most straightforward way to pull files from Amazon S3 in Python is to use the dedicated Boto3 Python library.

Cloud Storage 98

Cloud Storage Big Data Cloud AWS 98

Cloudera

FEBRUARY 1, 2022

However, because we are only interested in comparing snowflakes, we need to bring our own dataset consisting solely of snowflakes, and a lot of them. It turns out that there aren’t very many publicly available datasets of snowflake images. app/frontend/build/assets/semsearch/datasets/iconic200/”. ICONIC_PATH = “./app/frontend/build/assets/semsearch/datasets/iconic200/”.

Deep Learning 111

Deep Learning Datasets Coding Machine Learning 111

Marc Lamberti

NOVEMBER 23, 2022

It operates entirely in memory leading to out-of-memory errors if the dataset is too big. We are going to perform data analysis on the Stock Market dataset. This dataset contains CSV and JSON files for all NASDAQ, S&P500, and NYSE-listed companies. It’s a 10.22GB uncompressed dataset, and 1.0GB zip compressed.

Datasets 130

Datasets Python SQL Database 130

Edureka

APRIL 28, 2025

Open-source models are often pre-trained on big datasets, allowing developers to fine-tune them for specific tasks or industries. Key Features of Open-source VLMs: Public Accessibility : Models like CLIP and BLIP are available on platforms such as Hugging Face, allowing users to download and experiment with them for free.

Datasets 40

Datasets Medical Machine Learning Healthcare 40

Snowflake

MAY 15, 2024

By analyzing vast datasets, gen AI allows companies to quickly determine customer preferences, behaviors, sentiments and trends. Personalizing customer experiences: Delivering a more personalized experience is an essential competitive differentiator in today’s crowded media marketplace.

Entertainment 113

Entertainment Media Algorithm Datasets 113

Towards Data Science

NOVEMBER 16, 2023

Splittable in chunks : instead of processing an entire dataset in a single, resource-intensive operation, batch data can be divided into smaller, more manageable segments. This operation is a batch process because it downloads data only once and does not require streamlining. We’ll store the extracted data in a table.

Data Process 98

Data Process Process Raw Data Data 98

Sync Computing

FEBRUARY 4, 2025

If you find these queries to be useful, you can download our 1-click dashboard for Databricks to visualize all of them in a sharable dashboard. What are my most commonly used datasets? Knowing which of your datasets is used the most is crucial for optimizing data access and storage. Where are they stored?

SQL 52

SQL Datasets Utilities Accessible 52

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Cloudera

MARCH 29, 2021

It also provides an advanced materialized view engine to enable live aggregated datasets to be accessible by other applications via a simple REST API. If you are curious to learn more about continuous SQL, download our new white paper. Or if you want to learn more about SQL Stream Builder, download our Tech Brief or the datasheet. .

SQL 116

SQL Scala Manufacturing Java 116

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. For that matter, we’ll take a look at the adolescent tobacco study example , used in the paper. Image by Author.

Datasets 117

Datasets Machine Learning Data Data Science 117

Engineering at Meta

AUGUST 8, 2023

Then the server will apply the same hash algorithm and blinding operation with secret key b to all the passwords from the leaked password dataset. First, hashing and blinding each password in the leaked password dataset at runtime cause a lot of latency at the server side. Sharding the leaked password dataset.

Datasets 93

Datasets Bytes Algorithm Designing 93

Netflix Tech

NOVEMBER 11, 2022

These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, the number of streams, and the number of downloaded titles.

Machine Learning 131

Machine Learning Digital Media Datasets Media 131

Cloudera

APRIL 1, 2024

Download the complimentary 2023 Gartner Magic Quadrant for Cloud Database Management Systems report. Download the complimentary 2023 Gartner Critical Capabilities for Analytics Report to view the technical scores of each vendor on the three key analytic use cases. Unlike software, ML models need continuous tuning.

Cloud 105

Cloud Unstructured Data Metadata Government 105

Knowledge Hut

JANUARY 3, 2024

Importing And Cleaning Data This is an important step as a perfect and clean dataset is required for distinct and perfect data visualization. It allows you to download your visualization in various formations, including SVG. Creating Visualization You can create different types of visualization, from basic to advanced charts.

Python 98

Python Programming Language Datasets Data Science 98

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

DataKitchen

APRIL 18, 2025

Meanwhile, new projects are spun rapidly, and datasets are reused for purposes far removed from their original intent. So heres my advice: Download TestGen. Were trying to protect our data, but were guarding the wrong entry pointsand often doing it way too late. In most enterprises, documentation is stale or useless.

Data 47

Data Datasets Machine Learning Data Science 47

Towards Data Science

FEBRUARY 19, 2024

However, the full dataset is about 40GB, and trying to handle that much data on my little laptop, or even in a Colab notebook was a bit much, so I had to figure out a pipeline that could manage filtering and embedding a larger data set. The previous version used only about 3.5k First we pull out the relevant columns from the raw data file.

AWS 90

AWS Building Python Bytes 90

Snowflake

SEPTEMBER 14, 2023

And the ability to have LLMs at the hands of the business, will enable everyone to use machine learning on their own datasets and this is going to revolutionize the productivity of marketers as well. To learn more about the modern marketing data stack and get more value from your data, download the full report here.

Media 103

Media Technology Datasets Machine Learning 103

Snowflake

SEPTEMBER 5, 2023

Step 4: Test-driving the deployment For our example, we will use the model to run text categorization for a news items dataset from Kaggle , which we first store in a Snowflake table. json", lines=True).convert_dtypes()

Medical 134

Medical Python Government Datasets 134

Data Engineering Weekly

FEBRUARY 18, 2025

Benefits: Cost and Time Efficiency : no longer need to move data between system Data Consistency : reduces the occurrence of similar-yet-different datasets, leading to fewer data pipelines and simpler data management. But for the primary key table, it may take minutes as it has to download snapshots of RocksDB from remote storage.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Towards Data Science

MARCH 6, 2023

The implementation The pipeline idea is simple, download the CSV files to the local machine, convert them into a Delta-Lake table stored in a GCS bucket, do the transformations needed over this delta table, and save the results in a Big Query Table that can be easily consumed by other downstream tasks. in CSV files (one per year).

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

Towards Data Science

JANUARY 7, 2024

Data profiling gives us statistics about different columns in our dataset. Table of contents Components of whylogs Environment setup Understanding the dataset Getting started with PySpark Data profiling with whylogs Data validation with whylogs Components of whylogs Let’s begin by understanding the important characteristics of whylogs.

Data Pipeline 98

Data Pipeline Hospitality Data Validation Datasets 98

Knowledge Hut

MAY 3, 2024

Types of Machine Learning: Machine Learning can broadly be classified into three types: Supervised Learning: If the available dataset has predefined features and labels, on which the machine learning models are trained, then the type of learning is known as Supervised Machine Learning. A sample of the dataset is shown below.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

AltexSoft

MAY 12, 2022

For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. You have three options to obtain data to train machine learning models: use free sound libraries or audio datasets, purchase it from data providers or collect it involving domain experts.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Cloudera

APRIL 15, 2022

“As the availability and volume of Earth data grow, researchers spend more time downloading and processing their data than doing science,” according to the NCSS website. RES leverages Cloudera for backend analytics of their climate research data, allowing researchers to derive insights from the climate data stored and processed by RES.

Big Data 82

Big Data Big Data Tools Banking Finance 82

Knowledge Hut

OCTOBER 27, 2023

On an unclean and disorganised dataset, it is impossible to build an effective and solid model. When cleaning the data, it can take endless hours of study to find the purpose of each column in the dataset. Reddit datasets. The project is written in R, and it makes use of the Janeausten R package's dataset.

Data Science 96

Data Science Coding Project Datasets 96

Cloudera

NOVEMBER 30, 2022

var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }. var rowRDD = spark.sparkContext.parallelize(dataSet). dataSet = List(Row(501, "500", 500), Row(502, "502", 502)). rowRDD = spark.sparkContext.parallelize(dataSet). for (w <- 3 to 500) {. format("phoenix"). .options(Map("table"

Database 83

Database Datasets NoSQL Big Data 83