DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. In this article, we will delve into strategies to ensure that your data pipeline is resource-efficient, cost-effective, and time-efficient.

Big Data 279

Big Data Processing Open Source Games 279

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

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. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

DZone

JUNE 15, 2023

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. This article explores the concept of low overhead high-frequency profilers, which offer a solution to these challenges.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

DZone

APRIL 11, 2023

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 246

DZone

JULY 20, 2021

Taking a proactive and efficient approach to Kubernetes cluster monitoring can help engineering teams identify and predict many critical problems like CPU outage, memory outage, storage issues well in advance of these issues taking a toll on a business. Introduction.

Monitoring 246

Monitoring Storage Efficiency Engineering 246

Scalegrid

JULY 17, 2020

What’s in this article? JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint.

Storage 321

Storage Database Efficiency Processing 321

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. What's changed ?

Storage 199

Storage Performance AWS Cloud 199

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. In this article we’ll share highlights about two increments that are likely to fall into the “barely noticeable” category. Easier rollout thanks to log storage best practices.

Best Practices 246

Best Practices Storage Java Benchmarking 246

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. What is Bulldozer Bulldozer is a self-serve data platform that moves data efficiently from data warehouse tables to key-value stores in batches. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 252

Latency Storage Big Data Tuning 252

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. I would like to thank Daniel Kirkdorffer who reviewed the article and cleaned up the grammar. The rest of this article describes concrete data modeling techniques and patterns.

Database 279

Database Ecommerce Efficiency Engineering 279

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

The Netflix TechBlog

NOVEMBER 29, 2023

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. Summary Thanks to the arrival of HDR-VMAF, we were able to optimize our HDR encodes.

Open Source 260

Open Source Software Engineering Internet Internet 260

Dynatrace

DECEMBER 18, 2023

In this article, we take a closer look at Prometheus metrics and how we can ingest this data into Dynatrace. But often, we use additional services and solutions within our environment for backups, storage, networking, and more. As for the Collector, this will be the choice of tool for our implementation and this article.

Metrics 245

Metrics Engineering Energy Tuning 245

Scalegrid

FEBRUARY 11, 2025

This article will help you understand the core differences in data structure, scalability, and use cases. Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered. Choosing the right database often comes down to MongoDB vs MySQL.

Scalability 147

Scalability Database Storage IoT 147

Percona

MARCH 7, 2023

One approach is to separate compute and storage to allow for independent scaling. By separating storage and compute, Neon replaces the PostgreSQL storage layer with data nodes, and compute nodes are distributed across a cluster of nodes. Architecture A Neon installation consists of compute nodes and the Neon storage engine.

Serverless 128

Serverless Storage Open Source Architecture 128

DZone

AUGUST 18, 2023

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

The Netflix TechBlog

SEPTEMBER 10, 2024

Since that presentation, Pushy has grown in both size and scope, and this article will be discussing the investments we’ve made to evolve Pushy for the next generation of features. With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins.

Latency 234

Latency Cache Tuning Efficiency 234

Percona

APRIL 24, 2023

I keep seeing many articles and talks on “tuning” discussing how creating new indexes speeds up SQL but rarely ones discussing removing them. As the size of the active dataset increases, the cache becomes less and less efficient. As the Active-Dataset increases, PostgreSQL has no choice but to bring the pages from storage.

Tuning 139

Tuning Cache Storage Database 139

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. With performance optimization at its core along with mitigating risks associated with relying solely on one cloud provider or taking advantage of cost efficiencies. What is Hybrid Cloud?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. System Coordination. Consistency. Read-Write consistency.

Database 213

Database Latency C++ Scalability 213

Scalegrid

MARCH 8, 2024

This article delivers a practical roadmap for using backups and binary logs to achieve accurate MySQL recovery, detailed steps for setting up your server, and tips for managing recovery and backups effectively without overwhelming you with complexity. Data loss or corruption can be daunting.

Database 162

Database Strategy Servers Best Practices 162

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. It streamlines time-consuming and repetitive tasks, reducing the potential for human error and boosting operational efficiency.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

CSS - Tricks

SEPTEMBER 21, 2020

There has got to be a balance between the propagation and duplicative storage as far as the savings that would be realized by the efficiency of saving requests. Is that more energy-efficient than creating that area by attaching a click handler on a button that toggles the class of an element that visually opens and closes it?

Website 98

Website Energy Storage Servers 98

Scalegrid

JUNE 14, 2024

In this article, we will explore the process of how to connect MySQL to Power BI, a leading business intelligence tool. Benefits of Power BI The advantages of Power BI are manifold, from its intuitive interface to its ability to handle large datasets efficiently. Why connect Power BI to a MySQL Database?

Database 130

Database Azure Efficiency Servers 130

Scalegrid

NOVEMBER 4, 2024

Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. Storage I/O : Both ScaleGrid and RDS use GP3. Key metrics include TPS and QPS. It also enhanced the management of large tables and indexes.

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. This article also provides a good overview of the cardinality estimation techniques.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

JANUARY 9, 2024

This article delivers direct insights on solid security frameworks, agile defensive tactics, and compliance adherence, providing the blueprint to reinforce your enterprise against the rigors of the cloud. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

Scalegrid

MARCH 14, 2024

This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

Scalegrid

DECEMBER 28, 2023

How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. Pagination is beneficial in splitting such collections of information, including products, users, articles, etc., The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130