Pickl AI

JULY 25, 2024

Summary: Data ingestion is the process of collecting, importing, and processing data from diverse sources into a centralised system for analysis. This crucial step enhances data quality, enables real-time insights, and supports informed decision-making. This is where data ingestion comes in.

Data Ingestion 52

Data Ingestion ETL Data Quality Data Integration 52

Unite.AI

DECEMBER 5, 2023

They can contain structured, unstructured, or semi-structured data. These can include structured databases, log files, CSV files, transaction tables, third-party business tools, sensor data, etc. The data ecosystem is connected to company-defined data sources that can ingest historical data after a specified period.

Metadata 159

Metadata Big Data ETL Data Mining 159

Pickl AI

JULY 6, 2023

Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than data ingestion. This delay makes Hive less suitable for real-time or interactive data analysis. Why Do We Need Hadoop Hive?

Big Data 52

Big Data ETL Data Analysis Metadata 52

Pickl AI

DECEMBER 16, 2024

Its core components include: Lakehouse : Offers robust data storage and processing capabilities. Data Factory : Simplifies the creation of ETL pipelines to integrate data from diverse sources. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts.

ETL 52

ETL Data Ingestion Data Integration Business Intelligence 52

Pickl AI

OCTOBER 10, 2024

Apache Nifi Apache Nifi is an open-source data integration tool that automates system data flow. Its drag-and-drop interface makes it user-friendly, allowing data engineers to build complex workflows without extensive coding knowledge. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services.

ETL 52

ETL Data Quality Business Intelligence Machine Learning 52

ODSC - Open Data Science

DECEMBER 9, 2024

This allows iterative data analysis workflows rather than rigid scripts. Python forms a common lingua franca for open data science thanks to its flexibility and the breadth of domain-specific packages continuously expanded by the active community. Additionally, no-code automated machine learning (AutoML) solutions like H20.ai

Data Science 40

Data Science Data Scientist Python Machine Learning 40