DZone

SEPTEMBER 9, 2024

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. They define how data is stored, read, and written directly impacting storage efficiency, query performance, and data retrieval speeds.

Big Data 278

Big Data Storage Analytics Benchmarking 278

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach. For more information visit our web page.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. The result?

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

FEBRUARY 9, 2021

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 276

Analytics Mobile Performance Monitoring 276

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 246

Analytics Strategy Storage Technology 246

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 245

Mobile Analytics Monitoring Best Practices 245

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. This is Davis CoPilot.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

DZone

NOVEMBER 23, 2021

There are umpteen tools available to check the internet speed. SpeedTest, Speed from Cloudflare , Netflix's Fast , or if you use Google search , you can test the internet speed and its analytics. In macOS Monterey, Apple has released a command-line tool called networkQuality.

Internet 189

Internet Internet Speed Network 189

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 246

Analytics Innovation Metrics Database 246

DZone

MARCH 12, 2021

Thunderhead is the recognized global leader in the Customer Journey Orchestration and Analytics market. The ONE Engagement Hub helps global brands build customer engagement in the era of digital transformation. Thunderhead provides its users with great insights into customer behavior.

Speed 243

Speed Analytics Development Artificial Intelligence 243

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. Using Davis, the AI Engine.

Google 202

Google Analytics Traffic Operating System 202

Dynatrace

OCTOBER 16, 2024

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.

Social Media 263

Social Media Metrics Network Analytics 263

Dynatrace

OCTOBER 12, 2023

It helps create patterns, provides instant feedback, and allows you to save and reuse DPL patterns, for faster access to data analytics use cases. DPL Architect enables you to quickly create DPL patterns, speeding up the investigation flow and delivering faster results.

Speed 235

Speed AWS C++ Availability 235

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

Latency 147

Latency Analytics Architecture Storage 147

DZone

OCTOBER 24, 2023

Valuable insights are often buried across massive, complex datasets too large and unwieldy for traditional analytics tools to handle. SQream offers a purpose-built solution to help companies fully harness all their data to drive unprecedented speed and scale in analytics.

Analytics 290

Analytics Speed 290

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. We can experiment with different content placements or promotional strategies to boost visibility and engagement.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

MARCH 5, 2025

Simplified collaboration Individual users and teams can share segments to ensure consistent filtering logic across apps, dashboards, or even business analytics use cases. Optimized query performance Segments narrow the available data scope in real time, improving query speed, reducing overhead, and helping to optimize consumption.

AWS 217

AWS Azure Best Practices Efficiency 217

DZone

NOVEMBER 25, 2023

Factors like read and write speed, latency, and data distribution methods are essential. For instance, rapid read and write operations are crucial for applications requiring real-time data analytics. Yet, they are often evaluated in isolation, removed from the business context.

Database 278

Database Latency Speed Metrics 278

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 264

Analytics Storage Infrastructure Metrics 264

DZone

SEPTEMBER 18, 2023

By leveraging AI algorithms, machine learning (ML), and advanced analytics, software testing has undergone a remarkable transformation, enabling organizations to achieve unprecedented levels of speed, accuracy, and coverage in their testing endeavors.

Artificial Intelligence 279

Artificial Intelligence Software Software Testing 279

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

OCTOBER 15, 2020

The scale and speed of the program triggered challenges for these banks that they had never before imagined. Speed up loan processing to deliver critically needed relief to small businesses? Full speed ahead. Let your Dynatrace Sales Engineer know you want to get started with Digital Business Analytics. Derek Darling.

Small Business 264

Small Business Programming Analytics Speed 264

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. What is a data lakehouse?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 264

Technology Technology Analytics Innovation 264

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 246

Software Software Analytics Big Data 246