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Real-Time Analytics

DZone

This is an article from DZone's 2023 Data Pipelines Trend Report. To keep up, we require real-time analytics (RTA), which provides the immediacy that every user of data today expects and is based on stream processing. Stream processing is used to query a continuous stream of data and immediately process events in that stream.

Analytics 286
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Another hurdle is mistaking easy patterns as effective analysis, according to an article in the Harvard Data Science Review. Discovery using global search.

Analytics 216
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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. Optimizing Data Input Make Use of Data Forma t In most cases, the data being processed is stored in a columnar format.

Big Data 269
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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246
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Data Integration in Real-Time Systems

DZone

With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes. Businesses were content with accumulating data over defined intervals and then processing it in scheduled batches.

Systems 281
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Transforming Business Outcomes Through Strategic NoSQL Database Selection

DZone

In a detailed article, we've discussed how to align a NoSQL database with specific business needs. For instance, rapid read and write operations are crucial for applications requiring real-time data analytics. Yet, the impact of choosing the right NoSQL database goes beyond these parameters; it affects your business outcomes.

Database 268
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing.

Google 267