Remove Comparison Remove Data Engineering Remove Hardware Remove Scalability
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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS comparison: other practical aspects. It eliminated the need to get back to the traditional environment when teams struggled with complex and costly in-house hardware and software. . List of the Content. Azure vs AWS market share.

Azure 52
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ELT Process: Key Components, Benefits, and Tools to Build ELT Pipelines

Altexsoft

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Scalability. ELT use cases.

Tools 52
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Altexsoft - Untitled Article

Altexsoft

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? The variety of data explodes and on-premises options fail to handle it. Scalability opportunities. Scalability.

Backup 115
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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

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ETL vs ELT: Key Differences Everyone Must Know

Altexsoft

This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

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Data Migration Software: Which Solution Fits Your Project Best

Altexsoft

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

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The Good and the Bad of Docker Containers

Altexsoft

What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. While you definitely saw the Docker vs Kubernetes comparison, these two systems cannot be compared directly. Hardware isn’t virtualized. Scalability.