Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

JUNE 7, 2021

A powerful Big Data tool, Apache Hadoop alone is far from being almighty. The module can absorb live data streams from Apache Kafka , Apache Flume , Amazon Kinesis , Twitter, and other sources and process them as micro-batches. Just for reference, Spark Streaming and Kafka combo is used by. risk management.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? What is Kafka? Why Kafka vs RabbitMQ ?

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

APRIL 20, 2017

MovieLens dataset consists of 22884377 ratings and 586994 tag applications across 34208 movies created by 247753 users. Problem Statement In this Hadoop project, you will get to understand how to perform data analytics like a Big Data Professional in the industry. Implementing a Big Data project on AWS.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 14, 2015

In this project, you will work on preparing a real-time analytics dashboard using popular Big Data tools. Data Description The dataset for this project is of two types: batch data and stream data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JANUARY 25, 2022

Features of PySpark Features that contribute to PySpark's immense popularity in the industry- Real-Time Computations PySpark emphasizes in-memory processing, which allows it to perform real-time computations on huge volumes of data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

Big Data 52

Big Data Data Process Process Kafka 52