Knowledge Hut

OCTOBER 27, 2023

In this article, we will be discussing 4 types of d ata Science Projects for resume that can strengthen your skills and enhance your resume: Data Cleaning Exploratory Data Analysis Data Visualization Machine Learning Data Cleaning A   data scientist,   most likely spend nearly 80% of their time cleaning data.

Data Science 96

Data Science Coding Project Datasets 96

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. Data decays. Yes, data has a shelf life. For more than three decades, SQL has been an accepted way to conduct queries across a range of database systems.

SQL 113

SQL Scala Manufacturing Java 113

Workfall

SEPTEMBER 18, 2023

It simplifies the process of extracting, transforming, and loading (ETL) data by providing connectors for a wide range of data sources and destinations. Whether you need to integrate data from databases, APIs, cloud services, or other systems, Airbyte provides the tools to make it easier and more efficient.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Netflix Tech

APRIL 26, 2022

Each of these models are trained with different datasets and features along with different stratification and objectives. Given that Axion is used as the defacto Fact store for assembling the training dataset for all these models, it is important for Axion to log and store enough facts that would be sufficient for all these models.

Metadata 75

Metadata Datasets Machine Learning AWS 75

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

ProjectPro

FEBRUARY 8, 2023

Scale Existing Python Code with Ray Python is popular among data scientists and developers because it is user-friendly and offers extensive built-in data processing libraries. For analyzing huge datasets, they want to employ familiar Python primitive types. Establish a crawler schedule.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

FEBRUARY 22, 2022

Data Analysts use SQL to build an inventory management system to help business owners make critical decisions related to inventory planning. Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014.

Data Analysis 52

Data Analysis SQL Project Banking 52