Databand.ai

JUNE 28, 2023

Data pipelines often involve a series of stages where data is collected, transformed, and stored. This might include processes like data extraction from different sources, data cleansing, data transformation (like aggregation), and loading the data into a database or a data warehouse.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Additionally, a data pipeline that consumes real-time data will be developed.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Databand.ai

AUGUST 30, 2023

Automation plays a critical role in the DataOps framework, as it enables organizations to streamline their data management and analytics processes and reduce the potential for human error. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

JANUARY 11, 2021

I want to thank you all for joining and attending these events! I received hundreds of questions during these events, and my colleagues and I tried to answer as many as we could. NiFi is a great, consistent, and unique software to manage all your data ingestion. I’m looking forward to seeing you all at these events!

Kafka 61

Kafka Java Data Cleanse Datasets 61

AltexSoft

MAY 14, 2021

The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. If you are an owner of an online shop, you may look at the data accumulated during a week and then analyze it. Data ingestion.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Netflix Tech

MARCH 25, 2019

As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth. Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. push or pull. Today, we are operating using a pull-heavy model.

Building 87

Building Metadata Transportation Data Ingestion 87