Article, Big Data and Efficiency - Technology Performance Pulse

Cutting Big Data Costs: Effective Data Processing With Apache Spark

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

Big Data Processing Games Open Source

Write Optimized Spark Code for Big Data Applications

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In this article, we will discuss some tips and techniques for tuning PySpark applications. In this article, we will discuss some tips and techniques for tuning PySpark applications.

Big Data

Big Data Code Tuning Open Source

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

MAY 13, 2020

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data

Big Data Database Artificial Intelligence Open Source

In-Stream Big Data Processing

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. All these topics will be discussed in the later sections of the article. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters.

Big Data

Big Data Processing Lambda Database

An overview of end-to-end entity resolution for big data

The Morning Paper

DECEMBER 13, 2020

An overview of end-to-end entity resolution for big data , Christophides et al., 2020, Article No. It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. Dynamic approaches schedule block processing on the fly to maximise efficiency.

Big Data

Big Data Open Source Processing Analytics

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology. 3d render.

Cache

Cache Storage Scalability Architecture

Mastering Hybrid Cloud Strategy

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

Strategy Cloud Artificial Intelligence Infrastructure

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Latency

Latency Storage Big Data Tuning

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage

Storage Latency Efficiency Data Engineering

Optimizing anomaly detection and noise

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. In the fourth part of the series, I’ll show you how I used Dynatrace’s raw problem and event data to find the best fit for optimized anomaly detection settings. I took a big-data-analysis approach, which started with another problem visualization.

Tuning

Tuning Architecture Monitoring Big Data

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. This article lays out the ideas and discussions shared at the workshop.

Latency

Latency Hardware Cache Architecture

Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. We’ll skip over Hendrix’s specific details and focus on the SKU platform adoption in this article for brevity. What’s Next?

Mobile

Mobile Engineering Infrastructure Scalability

Data Pipelines: The Hammer for Every Nail

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics

Logistics Transportation Scalability Data Engineering

Why You Should Spend More Time Thinking About Phone Call Tracking App

Tech News Gather

OCTOBER 7, 2023

This article sheds light on the often-underestimated capabilities of phone call tracking apps and why they deserve your undivided attention. Enhance Call Routing and Response Times Efficient call routing and quick response times are crucial for customer satisfaction. It can lead to increased market share and business growth.

Strategy

Strategy Big Data Scalability Games

NoSQL Data Modeling Techniques

Highly Scalable

MARCH 1, 2012

At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. 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. General Notes on NoSQL Data Modeling.

Database

Database Ecommerce Efficiency Engineering

Rethinking the 'production' of data

All Things Distributed

DECEMBER 20, 2017

This article titled " Daten müssen strategischer Teil des Geschäfts werden " appeared in German last week in the "IT und Datenproduktion" column of Wirtschaftwoche. How companies can use ideas from mass production to create business with data. The end effect is that the complexity of the system increases, which is not efficient.

Artificial Intelligence

Artificial Intelligence Social Media Logistics AWS

Probabilistic Data Structures for Web Analytics and Data Mining

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. what is the cardinality of the data set)? bits per unique value. Case Study.

Analytics

Analytics Traffic Big Data Efficiency

Cloud-Based Testing – A tester’s perspective

Testsigma

MAY 14, 2021

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Here is an article that will help you ascertain if you need to implement cloud-based test automation in your organization: 6 signs you need to invest in a cloud-based test automation tool.

Cloud

Cloud Testing Testing Tools Internet

40+ Best Web Development Blogs of 2018

KeyCDN

OCTOBER 2, 2018

Its videos and blog articles address issues such as web performance, extensible component development and the intersection of CSS with other technologies, like HTML and JavaScript. features collected articles that concentrate on what makes JavaScript work and what doesn’t. Visit website 3. Visit website 6. Visit website 11.

Development

Development Website Design Code

Data Mining Problems in Retail

Highly Scalable

MARCH 10, 2015

The rise of omni-channel retail that integrates marketing, customer relationship management, and inventory management across all online and offline channels has produced a plethora of correlated data which increases both the importance and capabilities of data-driven decisions. However, many of these models are highly parametric (i.e.

Retail

Retail C++ Analytics Metrics

Should You Use ClickHouse as a Main Operational Database?

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

Database

Database Analytics Blockchain Healthcare

Fast Intersection of Sorted Lists Using SSE Instructions

Highly Scalable

JUNE 5, 2012

In this article I describe several useful techniques that are based on SSE instructions and provide results of performance testing for Lucene, Java, and C implementations. When this short mask of common elements is obtained, we have to efficiently copy out common elements. in this article.

C++

C++ Java Performance Testing Efficiency

The workplace of the future

All Things Distributed

MAY 21, 2018

This article titled " Die Arbeitswelt der Zukunft " appeared in German last week in the "Digitalisierung" column of Wirtschaftwoche. Other companies, such as the Japanese firm Mitsui or the software provider bmc, use Alexa for Business to achieve a more efficient and better collaboration between their employees, among others.

Artificial Intelligence

Artificial Intelligence Technology Technology IoT

MapReduce Patterns, Algorithms, and Use Cases

Highly Scalable

JANUARY 31, 2012

In this article I digested a number of MapReduce patterns and algorithms to give a systematic view of the different techniques that can be found on the web or scientific articles. In other words, it can be more efficient to sort data once during insertion than sort them for each MapReduce query.

C++

C++ Network Ecommerce Processing

I Used The Web For A Day On A 50 MB Budget

Smashing Magazine

JULY 29, 2019

This article is part of a series in which I attempt to use the web under various constraints, representing a given demographic of user. Read “ Efficiently load JavaScript with defer and async ” for more information. KB for return-visits to articles that are renderable via the single page application. Chris Ashton.

Cache

Cache Google Mobile Network

Technology Performance Pulse

Cutting Big Data Costs: Effective Data Processing With Apache Spark

Write Optimized Spark Code for Big Data Applications

Trending Sources

What is Greenplum Database? Intro to the Big Data Database

In-Stream Big Data Processing

An overview of end-to-end entity resolution for big data

Redis vs Memcached in 2024

Mastering Hybrid Cloud Strategy

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

Optimizing data warehouse storage

Optimizing anomaly detection and noise

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

Data Pipelines: The Hammer for Every Nail

Why You Should Spend More Time Thinking About Phone Call Tracking App

NoSQL Data Modeling Techniques

Rethinking the 'production' of data

Probabilistic Data Structures for Web Analytics and Data Mining

Cloud-Based Testing – A tester’s perspective

40+ Best Web Development Blogs of 2018

Data Mining Problems in Retail

Should You Use ClickHouse as a Main Operational Database?

Fast Intersection of Sorted Lists Using SSE Instructions

The workplace of the future

MapReduce Patterns, Algorithms, and Use Cases

I Used The Web For A Day On A 50 MB Budget

Stay Connected