Remove Analytics Application Remove Structured Data Remove Telecommunication
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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 86
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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Lastly, and perhaps most importantly, streaming data is unique because it’s high-velocity and high volume, with an expectation that the data is available to be used in the database very quickly after the event has occurred. Streaming data has been around for decades. Today, streaming data is everywhere.

Kafka 52
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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

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Hadoop Use Cases

ProjectPro

To paint a fair picture of Nokia’s Big Data, they manage 100 TB of structured data along with 500+ TB of semi-structured data. Hadoop Distributed Framework System provided by Cloudera manages all variety of Nokia’s data and processes it in a scale of petabytes.

Hadoop 40
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Hardware Hadoop uses commodity hardware.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Machines and humans are both sources of structured data.