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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Greenplum Advantages.

Big Data 321
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Apache Spark.

Analytics 178
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? Data warehouses.

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What is APM?

Dynatrace

There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring, and End User monitoring. Download Magic Quadrant. From APM to full-stack monitoring. What sets Dynatrace apart? The post What is APM?

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What is Application Performance Monitoring?

Dynatrace

There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring and End User monitoring. Download the 2020 Gartner Magic Quadrant report for APM here. You can download the report here.

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I Used The Web For A Day On A 50 MB Budget

Smashing Magazine

Failing that, we are usually able to connect to home or public WiFi networks that are on fast broadband connections and have effectively unlimited data. But there are parts of the world where mobile data is prohibitively expensive, and where there is little or no broadband infrastructure. Mbps download and 0.7

Cache 97
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Structural Evolutions in Data

O'Reilly

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 102