DZone

SEPTEMBER 9, 2024

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 278

Big Data Storage Analytics Benchmarking 278

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 282

Efficiency Performance Analytics DevOps 282

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 243

Processing Social Media IoT Media 243

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 257

Processing Monitoring Analytics C++ 257

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 189

Energy Efficiency Government Infrastructure 189

Dynatrace

DECEMBER 21, 2023

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

Processing 220

Processing Monitoring Retail Analytics 220

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

Efficiency 272

Efficiency Architecture Energy Monitoring 272

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 238

Processing Media Latency Innovation 238

The Netflix TechBlog

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 261

Latency Storage Cache Efficiency 261

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 226

DevOps Efficiency Monitoring Infrastructure 226

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization.

Analytics 199

Analytics Processing Transportation Storage 199

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 282

Best Practices Performance Architecture Scalability 282

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 265

Data Engineering Engineering Software Engineering Best Practices 265

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 220

Processing Big Data Efficiency Engineering 220

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 228

Analytics Storage Infrastructure Metrics 228

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 272

Data Engineering Engineering Processing Games 272

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

APRIL 22, 2024

In trans-Atlantic and global business relationships, the privacy frameworks and regulations in various regions must be aligned to allow efficient collaboration between enterprises and other involved institutions. To enable participating organizations to meet the EU requirements for transferring personal data to the U.S., What’s next?

Government 231

Government Programming Analytics Efficiency 231

DZone

DECEMBER 18, 2023

Energy efficiency has become a paramount concern in the design and operation of distributed systems due to the increasing demand for sustainable and environmentally friendly computing solutions.

Energy 182

Energy Efficiency Systems IoT 182

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 232

Tuning Scalability Efficiency Processing 232

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 196

Processing Monitoring Analytics Games 196

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 273

Artificial Intelligence Analytics Storage Architecture 273

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 240

Latency Storage Traffic Tuning 240

Scalegrid

JULY 17, 2020

It is an open standard format which organizes data into key/value pairs and arrays detailed in RFC 7159. JSON is the most common format used by web services to exchange data, store documents, unstructured data, etc. You can also check out our Working with JSON Data in PostgreSQL vs. JSONB Patterns & Antipatterns.

Storage 321

Storage Database Efficiency Processing 321

Dynatrace

OCTOBER 4, 2022

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?

Artificial Intelligence 216

Artificial Intelligence Storage Analytics Government 216

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

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 236

Metrics Analytics Monitoring Efficiency 236

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 169

Analytics Airlines Metrics Monitoring 169

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. This leads to a more efficient and streamlined experience for users. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems.

Efficiency 221

Efficiency Virtualization Hardware Performance 221

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 258

Cloud Lambda AWS Analytics 258

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 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 217

Tuning Efficiency Big Data Engineering 217

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Proactive resource allocation. Capacity planning.

Artificial Intelligence 268

Artificial Intelligence DevOps Analytics Engineering 268

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 207

Data Engineering Engineering Entertainment Software Engineering 207

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 206

Government Analytics Benchmarking Storage 206

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. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.

IoT 217

IoT Analytics Transportation Metrics 217