Analytics, Big Data, Latency and Systems - Technology Performance Pulse

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. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data

Big Data Processing Lambda Database

Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. ICDE’16 (PowerDrill is a Google internal system).

Big Data

Big Data Analytics Latency Azure

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

DECEMBER 15, 2022

In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. So, what is ITOps? Why is IT operations important?

Artificial Intelligence

Artificial Intelligence DevOps Hardware Virtualization

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT

IoT Analytics Big Data Architecture

What is a Distributed Storage System

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage

Storage Systems Big Data Azure

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo.

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. Driving down the cost of Big-Data analytics. Comments ().

AWS

AWS Cloud Games Latency

Introducing the AWS South America - All Things Distributed

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. Additionally, it allows them to keep their data inside of Brazil. All Things Distributed.

AWS

AWS Latency Storage Big Data

The AWS GovCloud (US) Region - All Things Distributed

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. Government and Big Data. All Things Distributed. Comments ().

AWS

AWS Government Big Data Cloud

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud

Cloud Internet Internet AWS

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Cluster Compute Instances can be grouped as cluster using a "cluster placement group" to indicate that these are instances that require low-latency, high bandwidth communication.

Cloud

Cloud AWS Automotive Latency

Expanding the Cloud - New AWS Region: US-West (Northern.

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving down the cost of Big-Data analytics. All Things Distributed. Comments (). Contact Info.

AWS

AWS Cloud Latency Storage

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly. The tool must be compatible with your current systems.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

Spot Instances - Increased Control - All Things Distributed

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving down the cost of Big-Data analytics. Comments ().

AWS

AWS Storage Cloud Big Data

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. High data availability is achieved. Synchronization of personal information. </p>

Cache

Cache Storage Scalability Architecture

Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. tactical) in nature. Currently Iceberg sink is appended only.

Big Data

Big Data Government Analytics Processing

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore.

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. All Things Distributed.

AWS

AWS Cloud Latency Storage

This week in review: GPUs, Zombies, Biomimicry and Tom Waits.

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Comments ().

AWS

AWS Cloud Benchmarking Storage

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 data warehouse is not designed to serve point requests from microservices with low latency.

Latency

Latency Storage Big Data Tuning

Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics

Analytics Traffic Big Data Efficiency

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

DECEMBER 27, 2017

Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

Big Data

Big Data Artificial Intelligence Storage Hardware

Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. All Things Distributed. Comments ().

AWS

AWS Latency Programming Architecture

Choosing Consistency - All Things Distributed

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Architecting distributed systems that need to reliably operate at world-wide scale is not a simple task. A whole field of computer science is dedicated to finding solutions for the hard problems of building reliable distributed systems. Comments ().

AWS

AWS Latency Database Scalability

Software Testing Trends 2021 – What can we expect?

Testsigma

FEBRUARY 12, 2021

The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% IoT Test Automation. billion in 2016. billion by 2025, up 32.6

Artificial Intelligence

Artificial Intelligence Software Software IoT

Technology Performance Pulse

In-Stream Big Data Processing

Experiences with approximating queries in Microsoft’s production big-data clusters

Trending Sources

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

The Need for Real-Time Device Tracking

What is a Distributed Storage System

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo.

Introducing the AWS South America - All Things Distributed

The AWS GovCloud (US) Region - All Things Distributed

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

Expanding the Cloud - New AWS Region: US-West (Northern.

Mastering Hybrid Cloud Strategy

Spot Instances - Increased Control - All Things Distributed

Redis vs Memcached in 2024

Data Movement in Netflix Studio via Data Mesh

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore.

This week in review: GPUs, Zombies, Biomimicry and Tom Waits.

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

Probabilistic Data Structures for Web Analytics and Data Mining

5 data integration trends that will define the future of ETL in 2018

Amazon EC2 Cluster GPU Instances - All Things Distributed

Choosing Consistency - All Things Distributed

Software Testing Trends 2021 – What can we expect?

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