DZone

JULY 29, 2019

These processes are only possible with a distributed architecture and parallel processing mechanisms that Big Data tools are based on. One of the top trending open-source data storage that responds to most of the use cases is Elasticsearch.

Big Data 157

Big Data Government Open Source Storage 157

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Uber Engineering

AUGUST 14, 2019

Maintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage. Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog.

Efficiency 103

Efficiency Engineering Design Storage 103

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 130

Cache Storage Scalability Architecture 130

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Driving Storage Costs Down for AWS Customers. Comments (). At werner.ly

Big Data 111

Big Data Analytics AWS Cloud 111

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s

Storage 122

Storage Cloud AWS Media 122

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

Percona

JANUARY 19, 2023

If CPU usage is not a bottleneck in your setup, you can leverage compression as it can improve performance which means that less data needs to be read from disk and written to memory, and indexes are compressed too. It can help us to save costs on storage and backup times. It supports native sharding.

Open Source 88

Open Source Storage Database Big Data 88

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. A workflow engine to drive business decisions. We want you to start using it today.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Kik Interactive is a Canadian chat platform with hundreds of millions of users around the globe.

AWS 155

AWS Cloud Lambda Innovation 155

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. If the majority of your data is unstructured such as text, images, documents, etc. Classic ETL. Late transformation.

Big Data 40

Big Data Retail Storage Google 40

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Jekyll in written in Ruby and uses YAML for metadata management and uses the Liquid template engine to manipulate the content. At werner.ly Syndication.

Servers 126

Servers Social Media AWS Website 126

The Morning Paper

SEPTEMBER 19, 2019

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Autoscaling tiered cloud storage in Anna. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

Testsigma

JULY 14, 2020

The expected output is also entered in the test data sheet or file. Test data storage can be achieved by any of the below options-. Tools/ frameworks for data-driven automation testing-. A proper understanding of the AUT and a very good domain knowledge prepares the background for a great test data set. CSV files.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Highly Scalable

MARCH 1, 2012

The following figure depicts imaginary “evolution” of the major NoSQL system families, namely, Key-Value stores, BigTable-style databases, Document databases, Full Text Search Engines, and Graph databases: NoSQL Data Models. Full Text Search Engines: Apache Lucene, Apache Solr. Document Databases: MongoDB, CouchDB.

Database 279

Database Ecommerce Efficiency Engineering 279

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Join us for 3 days in Nashville at LISA'18.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Join us for 3 days in Nashville at LISA'18.

DevOps 40

DevOps Network Best Practices Programming 40

Testsigma

FEBRUARY 12, 2021

According to Gartner, the greatest technological developments in 2021 will influence the future from technology affecting how people operate, to AI engineering and hyperautomation. This obligated QA engineers, in particular, to pay more attention to the user interface. According to Statista, approximately 2.87

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. an engineering adventure to break the 1,000 mph barrier in a car. The Big Idea: Biomimetic Architecture - The National Geographic came in the mail this week with a beautiful pull-out of Gaudís Sagrada Família, the online version is only a summary. Driving Storage Costs Down for AWS Customers.

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

SEPTEMBER 30, 2010

There is huge variety in exiting architectures and I am often impressed about the ingenuity of the engineers in how to best transform the application if "Lift & Shift" is not an option. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 75

AWS Storage Cloud Best Practices 75

All Things Distributed

JANUARY 19, 2011

and Engine Yard , Springsource users have CloudFoundry. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. There are some excellent platforms running on AWS that do precisely this; Ruby on Rails developers have Heroku.

AWS 115

AWS Cloud Java Operating System 115

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

JULY 13, 2010

Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. until today.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

APRIL 28, 2010

Currently, each AWS Region contains multiple Availability Zones, which are distinct locations that are engineered to be insulated from failures in other Availability Zones. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 61

AWS Cloud Latency Storage 61

Percona

JANUARY 14, 2019

Actually, we can simulate an additional index set by creating a materialized view in ClickHouse : create materialized view rc_id_v ENGINE MergeTree() PARTITION BY toYYYYMM(toDate(created_utc)) ORDER BY (id) POPULATE AS SELECT id, created_utc from rc; Here I’m creating a materialized view and populating it initially from the main (rc) table.

Database 40

Database Analytics Blockchain Healthcare 40

ACM Sigarch

NOVEMBER 1, 2019

As is the case for many high-quality computer systems conferences, the papers presented here involve a significant amount of engineering and experimentation on real hardware to convincingly evaluate innovative concepts end-to-end in a realistic setting. ATC ’19 was refreshingly different. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137