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

AltexSoft

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Data warehouse vs. data lake in a nutshell.

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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

A new breed of ‘Fast Dataarchitectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. A complete end-to-end stream processing pipeline is shown here using an architectural diagram.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

As a data engineer description, you must be ready to explore large-scale data processing and use your expertise and soft skills to ensure a scalable and reliable working environment. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects.

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Data Governance: Framework, Tools, Principles, Benefits

Knowledge Hut

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

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When To Use Internal vs. External Stages in Snowflake

phData: Data Engineering

Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. Database Storage The Snowflake architecture’s database storage layer organizes data into multiple tiny partitions, which are compressed and optimized internally.

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AWS Instance Types Explained: Learn Series of Each Instances

Edureka

Whether you are hosting a website, running complex data analytics, or deploying machine learning models, the instance type serves as the foundation upon which your entire AWS architecture is built. This is beneficial for tasks like data transformation, data cleansing, and data analysis.

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