Knowledge Hut

OCTOBER 30, 2023

Big data and Artificial Intelligence have been thriving in recent years, and the emphasis on these technologies will propel them to new heights. Companies have realized the value of big data, and various opportunities are knocking on your door. The top big data projects that you shouldn't miss are listed below.

Big Data 52

Big Data Coding Project Medical 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Podcast

JUNE 16, 2019

Data Engineering Podcast listeners get 2 months free on any plan by going to dataengineeringpodcast.com/clubhouse today and signing up for a free trial. Support the show and get your data projects in order! Interview Introduction How did you get involved in the area of data management?

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Rockset

MAY 12, 2022

However, these databases tend to sacrifice support for complex SQL queries at any scale. Instead, these database makers have offloaded complex analytics onto application code and their developers, who have neither the skills nor the time to constantly update queries as data sets evolve.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

ProjectPro

AUGUST 24, 2021

Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52