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Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

DZone

However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable. While much emphasis is often placed on refining AI models, the significance of pristine datasets can sometimes be overshadowed.

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Essential Guidelines for Building Optimized ETL Data Pipelines in the Cloud With Azure Data Factory

DZone

When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable.

Azure 306
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Data Observability: Better Insights Through Reliable Data Practices

DZone

This is an article from DZone's 2023 Data Pipelines Trend Report. For more: Read the Report Organizations today rely on data to make decisions, innovate, and stay competitive. That data must be reliable and trustworthy to be useful.

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Data Storage Formats for Big Data Analytics: Performance and Cost Implications of Parquet, Avro, and ORC

DZone

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 278
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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 236
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 248
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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 279