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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 is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData: Data Engineering

Data lakes have emerged as a popular solution, offering the flexibility to store and analyze diverse data types in their raw format. However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. What is a Data Lake?

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Now in Public Preview: Processing Files and Unstructured Data with Snowpark for Python

Snowflake

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

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Data Science vs Cloud Computing: Differences With Examples

Knowledge Hut

These servers are primarily responsible for data storage, management, and processing. All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. Data scientists must teach themself about cloud computing.

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

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Difference Between Data Structure and Database

Knowledge Hut

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.