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. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

AltexSoft

AUGUST 29, 2023

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

Why use NiFi when one can use Kafka as an entry point to the cluster. Here are ways you can determine when to use NiFi and when to use Kafka. . Kafka is designed for stream-oriented use cases primarily for smaller files, and ingesting large files is not a good idea. Still, it requires Java to be available on the host.

Kafka 60

Kafka Data Cleanse Java Datasets 60

Netflix Tech

MARCH 25, 2019

Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management. As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth. push or pull.

Building 87

Building Metadata Transportation Data Ingestion 87

phData: Data Engineering

AUGUST 4, 2023

Once the data is loaded into Snowflake, it can be further processed and transformed using SQL queries or other tools within the Snowflake environment. This includes tasks such as data cleansing, enrichment, and aggregation.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

AltexSoft

MAY 14, 2021

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Data cleansing. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78