Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

ProjectPro

JUNE 9, 2015

for 2012-2017 anticipating it to reach $191 million from $40.7 million in 2012. The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. “We think this is just the tip of the iceberg.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

Knowledge Hut

MAY 3, 2024

Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. One more important keyword associated with Spark is Open Source.

Scala 98

Scala Hadoop Healthcare Big Data 98

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

AltexSoft

OCTOBER 3, 2022

The Google Knowledge Graph saw the world in 2012 and it significantly increased the interest of the academic and business community in the task of representing knowledge in graphs, coining the term “knowledge graph” and setting the trend for the coming years.

Relational Database 52

Relational Database Banking Media Pharmaceutical 52