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 273

Data Engineering Engineering Database Software 273

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 250

Performance Architecture Innovation Latency 250

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 141

Strategy Scalability Efficiency Technology 141

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 231

Innovation Database Processing Systems 231

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

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 271

Data Engineering Engineering Processing Games 271

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 273

Database Code Development 273

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 261

Big Data AWS Storage Analytics 261

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 236

Tuning Scalability Efficiency Processing 236

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 152

Energy Performance Efficiency 152

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 266

Best Practices 266

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 183

Infrastructure Hardware Innovation Efficiency 183

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 169

Best Practices Performance Architecture Scalability 169

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 297

Efficiency Strategy Scalability Technology 297

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 235

Systems Analytics Architecture Engineering 235

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Summary Ensuring fault tolerance in data-intensive, event-driven applications is crucial for successful industry deployments.

Engineering 191

Engineering Tuning Latency Open Source 191

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 234

Processing Data Engineering Efficiency Analytics 234

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 177

Processing Architecture Technology Technology 177

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 211

Government Analytics Benchmarking Storage 211

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 264

Analytics Innovation Strategy Efficiency 264

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 244

Best Practices Speed Database Efficiency 244

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 243

Media Traffic Processing Design 243

Dynatrace

AUGUST 12, 2024

As a result, it’s challenging to get business and resources focused on performance and error optimization without supporting data that shows how those optimizations will impact your organization’s financial outcomes. The addition of more and more metrics over time has only made this increasingly complex.

Airlines 257

Airlines Metrics Speed Internet 257

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 241

Azure Analytics Storage Cloud 241

DZone

JULY 11, 2024

Have you ever faced the challenge of managing large data operations within Salesforce , such as updating, inserting, deleting, or querying records? These operations might arise from one-time data migration projects or ongoing data integration needs with external systems. In such scenarios, Salesforce Bulk API 2.0

Efficiency 161

Efficiency Design Processing Systems 161

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 261

Cloud Lambda AWS Analytics 261

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

DZone

MARCH 18, 2024

The data silos problem is like arthritis for online businesses because almost everyone gets it as they grow old. For one reason or another, it is tricky to integrate the data from all these sources. Data stays where it is and cannot be interrelated for further analysis. That's how data silos come to form.

Mobile 136

Mobile Website 136

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 238

Software Engineering Engineering Software Software 238

Dynatrace

OCTOBER 24, 2023

The session focused on how agencies are protecting data within the context of zero trust. Reflecting on their discussion, I identified five emerging “truths” about zero trust and data. Identity is not necessarily as important as data because at the end of the day, we steal identities to get to the data,” said Williamson. “I

Government 231

Government Artificial Intelligence Best Practices Infrastructure 231

DZone

DECEMBER 29, 2023

In the ever-evolving landscape of technology, the tandem growth of Artificial Intelligence (AI) and Data Science has emerged as a beacon of hope, promising unparalleled advancements that will significantly impact and enhance various aspects of our lives.

Artificial Intelligence 274

Artificial Intelligence Healthcare Technology Technology 274

DZone

AUGUST 23, 2024

Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation! In this series, you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry.

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169

DZone

DECEMBER 2, 2023

When we introduced the concept of data observability four years ago, it resonated with organizations that had unlocked new value…and new problems thanks to the modern data stack. Now, four years later, we are seeing organizations grapple with the tremendous potential…and tremendous challenges posed by generative AI.

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DZone

FEBRUARY 1, 2023

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2. For instance, Data Lake Storage Gen2 offers scale, file-level security, and file system semantics.

Azure 243

Azure Storage Big Data Analytics 243

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 194

DevOps Analytics Storage Metrics 194

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 199

Cloud Processing Systems 199

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. Dynatrace is constantly evaluating the further expansion of its regional presence of Dynatrace SaaS.

AWS 248

AWS Azure Tuning Analytics 248