Knowledge Hut

APRIL 25, 2023

You can find a comprehensive guide on how data ingestion impacts a data science project with any Data Science course. Why Data Ingestion is Important? Data ingestion provides certain benefits to the business: The raw data coming from various sources is highly complex. Why Data Ingestion is Important?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

Ascend.io

JULY 28, 2023

Ingestion: Your data pipeline architecture should anticipate a wide variety of raw data sources to be incorporated into the pipeline. These include internal sources, operational systems, the databases and files provided by business partners, and third-party sources from regulators, agencies, and data aggregators.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52