Dynatrace

NOVEMBER 4, 2024

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Agile business decisions rely on fresh data. Easy to access. Contextualized.

Analytics 157

Analytics Airlines Metrics Monitoring 157

DZone

SEPTEMBER 14, 2023

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

Big Data Processing Games Open Source 279

DZone

JANUARY 8, 2024

Financial data engineering in SAS involves the management, processing, and analysis of financial data using the various tools and techniques provided by the SAS software suite. Here are some key aspects of financial data engineering in SAS: 1.

Data Engineering 290

Data Engineering Engineering Database Software 290

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 263

Data Engineering Engineering Software Engineering Best Practices 263

Dynatrace

APRIL 22, 2024

To enable participating organizations to meet the EU requirements for transferring personal data to the U.S., the Data Privacy Framework (DPF) is designed to serve as an adequate data transfer mechanism under the GDPR. Data Privacy Framework Program (The EU-U.S. Benefits of Data Privacy Framework for Dynatrace customers.

Government 237

Government Programming Analytics Efficiency 237

Dynatrace

OCTOBER 16, 2024

When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data.

Social Media 206

Social Media Metrics Network Analytics 206

DZone

MAY 26, 2023

Therefore, I found it important to write a piece based on my understanding of time series data versus relational data as someone with a unique understanding of both. I have coded many applications, both client and web, over my career, and I understand the importance of building a well-developed application from the ground up.

Database 304

Database Code Development 304

DZone

JULY 4, 2024

Based on the scale of your existing data warehouse processes or jobs, it can be an enormous task to modernize. A modernized database will help you focus on building innovative solutions rather than investing your time and effort in managing these legacy systems.

Innovation 245

Innovation Database Processing Systems 245

DZone

NOVEMBER 7, 2023

In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. 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.

Systems 287

Systems Analytics Architecture Engineering 287

DZone

OCTOBER 8, 2024

Snowflake is a powerful cloud-based data warehousing platform known for its scalability and flexibility. To fully leverage its capabilities and improve efficient data processing, it's crucial to optimize query performance.

Best Practices 278

Best Practices Performance Architecture Scalability 278

DZone

JUNE 3, 2024

In an era where data is the new oil, effectively utilizing data is crucial for the growth of every organization. It is not enough to store these data durably, but also to effectively query and analyze them. Without a querying capability, the data stored in S3 would not be of any benefit.

Big Data 278

Big Data AWS Storage Analytics 278

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

OCTOBER 10, 2024

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Use color coding to tell a story. Min and max limits.

Latency 213

Latency Infrastructure Monitoring Metrics 213

DZone

DECEMBER 16, 2023

In my previous article ‘ Data Validation to Improve Data Quality ’, I shared the importance of data quality and a checklist of validation rules to achieve it. Those validation rules alone may not guarantee the best data quality. Most pipelines are automated and run on a fixed schedule.

Best Practices 289

Best Practices 289

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 360

Best Practices Code Testing Data Engineering 360

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

Processing 273

Processing Transportation Entertainment Tuning 273

DZone

SEPTEMBER 26, 2024

In today's data-driven world, organizations increasingly rely on sophisticated data pipelines to manage vast volumes of data generated daily. Let’s dive into the key steps to building out your data pipelines.

Strategy 147

Strategy Scalability Efficiency Technology 147

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 224

IoT Analytics Transportation Metrics 224

DZone

JUNE 19, 2024

Pagination is a core technique used to manage data effectively. Leveraging Jakarta Data , this exploration integrates these pagination techniques into a REST API developed with Quarkus and MongoDB. Retrieval strategies play a crucial role in improving performance and scalability, especially when response times are critical.

Efficiency 327

Efficiency Strategy Scalability Technology 327

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 269

Data Engineering Engineering Processing Games 269

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 259

Performance Architecture Innovation Latency 259

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 256

Big Data Government Processing Analytics 256

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 223

Analytics Metrics Media Monitoring 223

DZone

OCTOBER 16, 2023

When creating applications that store and analyze large amounts of data, such as time series, log data, or event-storing ones, developing a good and future-proof data model can be a difficult task. Choosing the right data types in PostgreSQL can significantly impact your database's performance and efficiency.

Best Practices 283

Best Practices Speed Database Efficiency 283

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Successful compliance with privacy rights requests involves tracking and verifying requests across the entire data ecosystem, including third-party services.

Tuning 238

Tuning Scalability Efficiency Processing 238

DZone

AUGUST 20, 2024

Data centers use a lot of electricity. Learning to measure data center power usage effectiveness (PUE) is a crucial part of that goal. What Is Data Center Power Usage Effectiveness? As its name implies, PUE measures how efficiently a data center uses the energy it consumes. The more even the ratio, the better.

Energy 162

Energy Performance Efficiency 162

DZone

JULY 10, 2024

In today's rapidly evolving technological landscape, developers, engineers, and architects face unprecedented challenges in managing, processing, and deriving value from vast amounts of data.

Infrastructure 195

Infrastructure Hardware Innovation Efficiency 195

The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. Similarly, client teams don’t have to worry about when or how the data is written. in a video file.

Media 269

Media Latency Architecture Database 269

DZone

FEBRUARY 5, 2024

In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 205

Design Storage Programming Analytics 205

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 242

Metrics Analytics Monitoring Efficiency 242

Dynatrace

OCTOBER 29, 2024

In this blog post, we’ll walk you through a hands-on demo that showcases how the Distributed Tracing app transforms raw OpenTelemetry data into actionable insights Set up the Demo To run this demo yourself, you’ll need the following: A Dynatrace tenant. If you don’t have one, you can use a trial account.

Metrics 187

Metrics Tuning Monitoring Availability 187

DZone

NOVEMBER 7, 2023

In the labyrinth of data-driven architectures, the challenge of data integration—fusing data from disparate sources into a coherent, usable form — stands as one of the cornerstones. As businesses amass data at an unprecedented pace, the question of how to integrate this data effectively comes to the fore.

Processing 189

Processing Architecture Technology Technology 189

DZone

FEBRUARY 20, 2023

The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. This talk covers ways to leverage software engineering practices for data engineering and demonstrates how measuring key performance metrics could help build more robust and reliable data pipelines.

Software Engineering 273

Software Engineering Engineering Software Software 273

DZone

MAY 12, 2023

I believe that chief among them is d ata residency or data location: Data localization or data residency law requires data about a nation's citizens or residents to be collected, processed, and/or stored inside the country, often before being transferred internationally.

Cloud 244

Cloud Processing Systems 244

DZone

APRIL 11, 2023

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

Azure Analytics Storage Cloud 246