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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

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Is AWS Data Analytics Certification Worth It in 2023?

Knowledge Hut

Recently, the AWS Data Analytics Certification has captured my attention, and I have been researching the many AWS data analytics certification benefits. With the convenience of Amazon AWS online training , this certification offers a flexible and accessible learning path. What is AWS Data Analytics? Let's explore.

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What Is Cloud Computing & How Does It Work?

Knowledge Hut

Cloud computing involves sharing resources via a network, making them accessible to everyone, regardless of location. Data and resources are stored on servers which can be either physical or virtual and are maintained by a cloud computing company. traditionally found in a physical or on-premises data center.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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ETL for Snowflake: Why You Need It and How to Get Started

Ascend.io

You’re extracting and loading data first, then transforming it in Snowflake’s cloud data warehouse. That’s what we call a data pipeline. Zero-Copy Cloning : Instantly creates data clones without duplication, allowing for rapid development, testing, and data manipulation without the overhead of data replication.

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What is Hashing and How Does It Work in Cyber Security?

Knowledge Hut

With cyber threats becoming increasingly complex and sophisticated, it is crucial for organizations and individuals to implement strong security measures to safeguard sensitive information and maintain data integrity. It involves transforming data of any length into a fixed-size unique output called a hash value.

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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. At the same time, Cloud Computing allows the data to be easily analyzed by the data scientists. It is equally important to know in both sectors.