Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Although it's open source, it only supports 10000 data rows and one logical processor.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

DECEMBER 28, 2021

Moreover, Spark SQL makes it possible to combine streaming data with a wide range of static data sources. For example, Amazon Redshift can load static data to Spark and process it before sending it to downstream systems. For instance, online purchases require all the associated data (Eg. split("W+"))).groupBy((key,

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. using big data analytics to boost their revenue.

Hadoop 40

Hadoop Big Data Metadata Java 40