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 227

Tuning Scalability Efficiency Processing 227

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. The Business Flow app Business Flow, built with AppEngine, simplifies the configuration, monitoring, and analysis of business processes.

Processing 192

Processing Monitoring Analytics Games 192

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 226

Government Programming Analytics Efficiency 226

DZone

MARCH 31, 2023

In the digital age, data is the new currency and is being used everywhere. From social media to IoT devices, businesses are generating more data than ever before. With this data comes the challenge of processing it in a timely and efficient way. Let’s recap some of the basics first.

Processing 234

Processing Social Media IoT Media 234

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 259

Data Engineering Engineering Software Engineering Best Practices 259

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 278

Data Engineering Engineering Database Software 278

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.

Systems 281

Systems Analytics Architecture Engineering 281

DZone

NOVEMBER 30, 2023

It uses Python as its programming language and offers a flexible architecture suited for both small-scale and large-scale data processing. The platform supports the concept of Directed Acyclic Graphs to define workflows, making it easy to visualize complex data pipelines.

Processing 161

Processing Open Source Programming Architecture 161

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 264

Data Engineering Engineering Processing Games 264

DZone

NOVEMBER 20, 2023

ETL—Extract, Transform, Load—is far more than a set of operations; it's a complex dance that transforms raw data into valuable insights, serving as the critical backbone for a range of applications, from data analytics and business intelligence to real-time decision-making platforms. What makes ETL performance such an imperative?

Processing 117

Processing Performance Analytics Speed 117

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 205

Cloud Lambda AWS Analytics 205

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

High Scalability

JUNE 15, 2020

This is a guest post by Eunice Do , Data Engineer at TripleLift , a technology company leading the next generation of programmatic advertising. The system is the data pipeline at TripleLift. TripleLift is an adtech company, and like most companies in this industry, we deal with high volumes of data on a daily basis.

Processing 206

Processing Data Engineering Engineering Efficiency 206

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

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 202

Government Analytics Benchmarking Storage 202

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 242

Cloud Systems Processing 242

DZone

AUGUST 23, 2023

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.

IoT 241

IoT Energy Open Source Analytics 241

DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130

IoT Media Latency Storage 130

Scalegrid

JANUARY 5, 2024

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. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

DZone

MARCH 29, 2023

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

Best Practices 304

Best Practices Cloud Storage Data Engineering 304

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 186

DevOps Analytics Storage Metrics 186

DZone

AUGUST 10, 2023

Many modern applications have a batch processing aspect to them and regularly run high-volume, repetitive data jobs. Here are the four tactics for cost-efficient and resilient batch processing: Here are the four tactics for cost-efficient and resilient batch processing:

Efficiency 130

Efficiency Processing Cloud Technology 130

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

DZone

AUGUST 20, 2022

Observability is a mindset that lets you use data to answer questions about business processes.

Metrics 358

Metrics Processing 358

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India.

AWS 240

AWS Azure Tuning Analytics 240

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

VoltDB

APRIL 13, 2023

The post The Power of Real-Time Data Processing appeared first on Volt Active Data.

Processing 52

Processing 52

DZone

AUGUST 2, 2019

Batch processing of data is an efficient way of processing large volumes of data where data is collected, processed and then batch results are produced. Batch processing can be applied in many use cases. Spring Batch provides functions for processing large volumes of data in batch jobs.

Processing 109

Processing Efficiency Performance 109

DZone

FEBRUARY 8, 2022

While increasing both the precision and the recall of our secrets detection engine, we felt the need to keep a close eye on speed. In a gearbox, if you want to increase torque, you need to decrease speed. So it wasn’t a surprise to find that our engine had the same problem: more power, less speed.

Processing 243

Processing Benchmarking Speed Engineering 243

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. In this way, no human intervention is required in the remediation process. Multi-objective optimizations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

DZone

JUNE 13, 2023

Data centers play a critical role in the digital era, as they provide the necessary infrastructure for processing, storing, and managing vast amounts of data required to support modern applications and services.

Energy 177

Energy Efficiency Government Infrastructure 177

DZone

DECEMBER 28, 2023

Here I am going to show the power of SQL Loader + Unix Script utility where multiple data files can be loaded by the SQL loader with automated shell scripts. This would be useful while dealing with large chunks of data and when data needs to be moved from one system to another system.

Programming 161

Programming Systems Availability Processing 161

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 154

Monitoring Education Technology Technology 154

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 229

Storage Government Network Infrastructure 229