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The Rise of Unstructured Data

Cloudera

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.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Data storage options. Data management and monitoring options.

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

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NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49
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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52
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50 Cloud Computing Interview Questions and Answers for 2023

ProjectPro

Compared to Cloud computing, Mobile computing is more customer-centric. Use cases are in-memory caches and open-source databases. These instances use their local storage to store data. They get used in NoSQL databases like Redis, MongoDB, data warehousing. Why use Cloud Computing?