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Storage Types Used on Cloud Computing Platforms

DZone

Cloud computing platforms have fundamentally altered how organizations access and manage data. Because of the emergence of cloud services, a broad range of storage choices are now easily available to fulfill the different demands of both organizations and people.

Storage 266
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Introduction to Azure Data Lake Storage Gen2

DZone

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2.

Azure 243
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How To Debug Mobile App Database Problems and Optimize Data Storage Performance

DZone

However, lurking beneath the surface lies a complex web of data storage and retrieval. That's why knowing how to debug mobile app database problems and optimize data storage performance is essential for developers seeking excellence. Picture your app crashing unexpectedly, data corruption, or sluggish queries.

Storage 199
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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 269
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Data on Kubernetes Community initiatives: Automated storage scaling

Percona Community

Automated storage scaling stands out as a critical challenge. Members of the Data on Kubernetes Community have proposed a solution to address this issue for Kubernetes operators. In the world of Kubernetes, where everything evolves quickly.

Storage 65
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Measuring the importance of data quality to causal AI success

Dynatrace

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

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Spring Boot and Time Series Data in ScyllaDB

DZone

The following tutorial walks you through how to use Spring Boot apps with ScyllaDB for time series data, taking advantage of shard-aware drivers and prepared statements. ScyllaDB is used to store the stock price (time series data). And you’ll learn how ScyllaDB can be used to store time series data.

Storage 273