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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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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. It provides tools for organizing and retrieving data efficiently.

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Enterprise Cloud Security Strategy For 2024

Scalegrid

Key Takeaways Enterprise cloud security is vital due to increased cloud adoption and the significant financial and reputational risks associated with security breaches; a multilayered security strategy that includes encryption, access management, and compliance is essential.

Strategy 130
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse?

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Three smart log ingestion strategies in Dynatrace (without OneAgent)

Dynatrace

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Log ingestion strategy no. Log ingestion strategy No. Log ingestion strategy No.

Strategy 180
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The state of observability in 2024: Accelerating transformation with AI, analytics, and automation

Dynatrace

The latest Dynatrace report, “ The state of observability 2024: Overcoming complexity through AI-driven analytics and automation ,” explores these challenges and highlights how IT, business, and security teams can overcome them with a mature AI, analytics, and automation strategy.

Analytics 191
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Low Overhead Continuous Contextual Production Profiling

DZone

It is worth noting that this data collection process does not impact the performance of the application. Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets.

Latency 246