AltexSoft

MAY 14, 2021

Data cleansing. Before getting thoroughly analyzed, data ? In a nutshell, the data cleansing process involves scrubbing for any errors, duplications, inconsistencies, redundancies, wrong formats, etc. and as such confirming the usefulness and relevance of data for analytics. whether small or big ?

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

FEBRUARY 8, 2024

Batch Processing- C-Series instances excel in scenarios that involve batch processing, where large amounts of data need to be processed in parallel. This is beneficial for tasks like data transformation, data cleansing, and data analysis.

AWS 52

AWS NoSQL Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. The real-time data will be processed using Spark structured streaming API and analyzed using Spark MLib to get the sentiment of every tweet. MongoDB stores the processed and aggregated results.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JANUARY 31, 2023

Query Surge provides the following benefits: Enhances testing speeds thousands of times while covering the entire data set. Query Surge helps us automate our manual efforts in Big Data testing. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 52

Big Data Hadoop Relational Database AWS 52