DZone

JUNE 28, 2023

However, lurking beneath the surface lies a complex web of data storage and retrieval. That's why knowing how to debug mobile app database problems and optimize data storage performance is essential for developers seeking excellence. Picture your app crashing unexpectedly, data corruption, or sluggish queries.

Storage 203

Storage Mobile Database Performance 203

DZone

JUNE 21, 2024

This article analyzes the correlation between block sizes and their impact on storage performance. This paper deals with definitions and understanding of structured data vs unstructured data, how various storage segments react to block size changes, and differences between I/O-driven and throughput-driven workloads.

Storage 162

Storage Performance Benchmarking Processing 162

DZone

MARCH 22, 2024

In today's data-driven world, businesses face numerous challenges when it comes to storing, securing, and analyzing vast amounts of information. Enter StoneFly , a leading provider of storage area network (SAN) and network-attached storage (NAS) solutions that aim to simplify your life and tackle complex business problems head-on.

Storage 189

Storage Scalability Development Network 189

Dynatrace

JULY 29, 2021

Using existing storage resources optimally is key to being able to capture the right data over time. In this blog post, we announce: Compression of transaction data that’s older than three days. Improvements to Adaptive Data Retention. Transaction-data compression for Dynatrace Managed environments.

Storage 209

Storage Virtualization Infrastructure Availability 209

Dynatrace

NOVEMBER 29, 2024

With an increasing number of regulations and standards governing how businesses handle data, an end-to-end compliance strategy is crucial. As the volume and complexity of data increase, understanding and managing logs effectively to reach compliance is essential. These logs contain sensitive healthcare data.

Healthcare 155

Healthcare Analytics Storage Government 155

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

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 Open Source Games 279

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

Uber Engineering

OCTOBER 27, 2024

Ready to boost your Hadoop Data Lake security on GCP? Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage!

Storage 57

Storage Google Cloud 57

DZone

JUNE 28, 2024

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Public clouds presently offer a mix of object and file storage options.

Azure 216

Azure Storage Performance Cloud 216

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 91

Storage Engineering Database Hardware 91

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 232

Analytics Storage Infrastructure Metrics 232

Percona Community

JANUARY 9, 2024

Automated storage scaling stands out as a critical challenge. Members of the Data on Kubernetes Community have proposed a solution to address this issue for Kubernetes operators. In the world of Kubernetes, where everything evolves quickly.

Storage 68

Storage 68

Percona

DECEMBER 11, 2023

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 107

Storage Strategy Cloud Network 107

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 155

Analytics Airlines Metrics Monitoring 155

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? How does a data lakehouse work?

Artificial Intelligence 219

Artificial Intelligence Storage Analytics Government 219

Dynatrace

MAY 21, 2024

Observing complex environments involves handling regulatory, compliance, and data governance requirements. This continuously evolving landscape requires careful management and clarity regarding how sensitive data is used. This is particularly important when dealing with large volumes of data.

Government 219

Government Storage Tuning Monitoring 219

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

DZone

MAY 7, 2023

The following tutorial walks you through how to use Spring Boot apps with ScyllaDB for time series data, taking advantage of shard-aware drivers and prepared statements. ScyllaDB is used to store the stock price (time series data). And you’ll learn how ScyllaDB can be used to store time series data.

Storage 275

Storage Servers Testing 275

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 257

Performance Architecture Innovation Latency 257

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. Understanding the context.

Analytics 202

Analytics Processing Transportation Storage 202

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 202

Design Storage Programming Analytics 202

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 315

Best Practices Cloud Data Engineering Storage 315

Percona

SEPTEMBER 6, 2024

Many things happen when creating a table and adding data that are not apparent. You might ask, ‘Where does the data go?’ Database novices often wonder how ‘things work behind the scenes’ when starting with PostgreSQL. ’ Luckily, it is easy to discover the details.

Storage 96

Storage Database 96

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 210

Government Analytics Benchmarking Storage 210

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

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 276

Artificial Intelligence Analytics Storage Architecture 276

DZone

JUNE 6, 2023

Think of your disks as a warehouse: The compaction mechanism is like a team of storekeepers (with genius organizing skills like Marie Kondo) who help put away the incoming data. In particular, the data (which is the inflowing cargo in this metaphor) comes in on a "conveyor belt," which does not allow cutting in line.

Storage 202

Storage Database 202

DZone

AUGUST 6, 2021

Most log management solutions store log data in a database and enable search by storing an index of the data. On a small scale, this isn’t problematic but when dealing with large-scale deployments, organizations end up using lots of computing, storage, and human resources just to manage their indexes.

Storage 189

Storage Database Systems Efficiency 189

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases.

Storage 175

Storage Healthcare Best Practices Speed 175

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 269

Artificial Intelligence Metrics Analytics Storage 269

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

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. What Are Edge Data Platforms? These platforms offer several advantages over traditional cloud computing.

IoT 130

IoT Media Latency Storage 130

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

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. Customer decisions about data retention are often determined by important security, privacy, and legal issues.

Analytics 224

Analytics Storage Infrastructure Metrics 224