Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 30, 2021

Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required. It is the most feasible option when the data size is huge. For instance, specify the list of country codes allowed in a country data field.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JUNE 18, 2015

The goal of a big data crowdsourcing model is to accomplish the given tasks quickly and effectively at a lower cost. Crowdsource workers can perform several tasks for big data operations like- data cleansing, data validation, data tagging, normalization and data entry. What’s your opinion?

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

DECEMBER 22, 2016

Common Misspelling and Duplicate entries are a common data quality problem that most of the data analysts face. Having different value representations and misclassified data. 8) What are the important steps in data validation process? You can pick as many fruits as you want to label the jars correctly.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 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. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40