In cases of data loss, erasure coding is an alternative form of data protection in which data is broken into fragments and stored across a set of different locations or storage media, like object storage
RAID configurations protect disk drives, but it doesn't really protect data. Learn how erasure coding protects data without the limitations of current data protection options
RAID protects disk drives, not data. Yet RAID rebuild times have become an unmanageable liability. RAID is an equal opportunity failure risk for any vendor's high-capacity drives deployed at scale.
Its time to memorize everything about Object Storage from this exciting chart from A to Z. Later, get ready to take the fun quiz Here is the link: https://itblog.sandisk.com/object-storage-quiz/
RAID configurations protect disk drives, but it doesn't really protect data. Learn how erasure coding protects data without the limitations of current data protection options
RAID protects disk drives, not data. Yet RAID rebuild times have become an unmanageable liability. RAID is an equal opportunity failure risk for any vendor's high-capacity drives deployed at scale.
Its time to memorize everything about Object Storage from this exciting chart from A to Z. Later, get ready to take the fun quiz Here is the link: https://itblog.sandisk.com/object-storage-quiz/
RAID is the use of multiple disks and data distribution techniques to get better Resilience and/or Performance.
RAID stands for:
Redundant
Array of
Inexpensive / Independent
Disks
A technology which is used for increasing the storage reliability and performance.It is a redundant array of inexpensive disks.It is an important aspect of computer science,which is little hard for undergrads to understand.
Raid- Redundant Array of Inexpensive DisksMudit Mishra
The basically RAID was to combine multiple, small inexpensive disks drive into an array of disk drives which yields performance exceeding that of a Single, Large Expensive Drive(SLED). Additionally this array of drives appear to the computer as a single logical storage unit or drive.
SSDs - Improving Performance of Storage Arraysnomathjobs
A brief discussion of how you can put solid state drives (SSDs) to work to increase storage array performance, but stay within budget. This example focuses on FalconStor\'s NSS v6
RAID is the use of multiple disks and data distribution techniques to get better Resilience and/or Performance.
RAID stands for:
Redundant
Array of
Inexpensive / Independent
Disks
A technology which is used for increasing the storage reliability and performance.It is a redundant array of inexpensive disks.It is an important aspect of computer science,which is little hard for undergrads to understand.
Raid- Redundant Array of Inexpensive DisksMudit Mishra
The basically RAID was to combine multiple, small inexpensive disks drive into an array of disk drives which yields performance exceeding that of a Single, Large Expensive Drive(SLED). Additionally this array of drives appear to the computer as a single logical storage unit or drive.
SSDs - Improving Performance of Storage Arraysnomathjobs
A brief discussion of how you can put solid state drives (SSDs) to work to increase storage array performance, but stay within budget. This example focuses on FalconStor\'s NSS v6
Continuing to run a legacy infrastructure may be possible, but it isn’t optimal—not when new technologies like the Dell and Nutanix solution are available. By upgrading to this new hyperconverged infrastructure, you could do eight times the work of a legacy solution in just 6U and scale for more work by simply adding another node. What’s more, eliminating the need for centralized SAN storage means more space to grow, less hardware to manage, and the potential for lower power and cooling bills.
Take the first step on the path to an upgraded environment. Run DPACK in your own datacenter, and discover your performance requirements and potential bottlenecks. Then consider how the increased mixed workload performance from the hyperconverged, Intel processor-powered Dell and Nutanix solution could help your business thrive.
The bottleneck in flash storage is often the interface. SAS/SATA interfaces were designed specifically for hard disk drives not for flash media. For example, flash storage can support many more simultaneous I/O operations. The resolution to the problem is to use a different interface, one that is higher throughput and is more directly accessible from the CPU. Leveraging one of these interfaces and extracting optimal performance from the flash media means leaving the confines of the SCSI protocol with customized proprietary drivers. The result is complexity and slow innovation.
In this talk we report on our experience with Redis-on-Flash (RoF)—a recently introduced product that uses SSDs as a RAM extension to dramatically increase the effective dataset capacity that can be stored on a single server. This talk provides the first in-depth RoF system performance characterization: we consider different use cases (varying both RAM-to-disk access ratio and object size), and compare SATA-based RoF, NVMe-based RoF, and all-RAM Redis deployments. We show that the superior performance of NVMe drives in terms of both latency and peak bandwidth makes them a particularly good fit for RoF use cases. Specifically, we show that backing RoF with NVMe drives can deliver more than 2 million operations per second with sub-millisecond latency on a single server.
This IT Brand Pulse mini-report includes 2016 market leader data from the independent, non-sponsored survey covering six categories of brand leadership–Market, Price, Performance, Reliability, Service & Support and Innovation–for thirteen classes (plus two special achievement) of Flash Storage/NVMe.
Complete survey data for each product category is available. Please contact us at info@itbrandpulse.com for information and pricing.
Read the 2016 Flash Storage-NVMe Brand Leader Survey Press Release: http://www.itbrandpulse.com/press-release/it-pros-choose-2016-flash-storagenvme-brand-leaders/
difference between hub, bridge, switch and routerAkmal Cikmat
An additional information that might be useful for Computing/Computer Science students especially.
made this as a homework assigned to me.
Hope this may be the thing that you've been looking for
A computer network is defined as the interconnection of two or more computers. It is done to enable the computers to communicate and share available resources.
Components of computer network
Network benefits
Disadvantages of computer network
Classification by their geographical area
Network classification by their component role
Types of servers
Erasure Coding: Revolutionizing Data Durability and Storage EfficiencyMaryJWilliams2
Unlock the potential of Erasure Coding with this comprehensive exploration, designed to enhance your understanding of how this advanced data protection technique can significantly improve storage efficiency and reliability. This guide delves into the mechanics of Erasure Coding, comparing it to traditional redundancy methods like RAID, and showcases its benefits in terms of scalability, fault tolerance, and cost-effectiveness. To Know more: https://stonefly.com/white-papers/innovative-method-data-protection-disaster-recovery/
Если нашлась одна ошибка — есть и другие. Один способ выявить «наследуемые» у...Positive Hack Days
Ведущий: Асука Накадзима (Asuka Nakajima)
Практика повторного использования исходного кода позволяет сократить расходы на разработку программного обеспечения. Тем не менее, если в оригинальном исходном коде кроется уязвимость, она будет перенесена и в новое приложение. Докладчик расскажет о необычном способе обнаружения «наследуемых» уязвимостей в бинарных файлах без необходимости обращаться к исходному коду или символьным файлам.
Tips And Tricks For Bioinformatics Software Engineeringjtdudley
This is a talk I've given twice at Stanford recently. It's essentially a brain dump of my thoughts on being a Bioinformatician with lots of links to useful tools.
Palestra realizada por Luciano Palma no Intel Software Day 2013 (22/10/2013)
Conheça a arquitetura do Intel Xeon Phi, um coprocessador capaz de entregar mais de 2 TFlops de processamento para sua solução de HPC (High Performance Computing).
Webinar NETGEAR - Storagecraft e Netgear: soluzioni per il backup e il disast...Netgear Italia
Presentazione della gamma di soluzioni di storage Netgear e della suite di prodotti di StorageCraft.
Registrazione video del webinar su https://www.youtube.com/watch?v=BwJgT9zZuhk
Introduction to StorageCraft and Netgear solutions for Backup and Disaster Recovery environment.
Webinar video recording (in Italian) at https://www.youtube.com/watch?v=BwJgT9zZuhk
Slides for a talk.
Talk abstract:
In the dark of the night, if you listen carefully enough, you can hear databases cry. But why? As developers, we rarely consider what happens under the hood of widely used abstractions such as databases. As a consequence, we rarely think about the performance of databases. This is especially true to less widespread, but often very useful NoSQL databases.
In this talk we will take a close look at NoSQL database performance, peek under the hood of the most frequently used features to see how they affect performance and discuss performance issues and bottlenecks inherent to all databases.
DataEngConf: Uri Laserson (Data Scientist, Cloudera) Scaling up Genomics with...Hakka Labs
New DNA sequencing technologies are revolutionizing the life sciences by generating extremely large data sets. Traditional tools for processing this data will have difficulty scaling to the coming deluge of genomics data. We discuss how the innovations of Hadoop and Spark are solving core problems that enable scientists to address questions that were previously out of reach.
This will be an intro level talk for folks unfamiliar with hosting or managing Postgres. Topics will include hosting options, backups, connection pooling, basic tuning, monitoring, and indexing. Just enough to keep you out of trouble and your database humming along.
Data Privacy with Apache Spark: Defensive and Offensive ApproachesDatabricks
In this talk, we’ll compare different data privacy techniques & protection of personally identifiable information and their effects on statistical usefulness, re-identification risks, data schema, format preservation, read & write performance.
We’ll cover different offense and defense techniques. You’ll learn what k-anonymity and quasi-identifier are. Think of discovering the world of suppression, perturbation, obfuscation, encryption, tokenization, watermarking with elementary code examples, in case no third-party products cannot be used. We’ll see what approaches might be adopted to minimize the risks of data exfiltration.
Keynote presentation from Flash Memory Summit 2016 by Dr. Siva Sivaram.
Learn his perspective on opportunities and challenges in developing a memory cell solution for the Storage Class Memory market, and lessons learned from 3D NAND.
Watch the full webinar here: http://bit.ly/1TUuUCK
When considering flash storage, there are many misconceptions and outright myths. Especially when equating consumer-grade flash (USB sticks) to enterprise-grade SSDs. In this webinar SanDisk Chief Architect, Adam Roberts, will discuss 5 myths of flash storage and highlight what you need to look out for when choosing a storage device to accelerate your data center storage. This webinar will cover:
1.Data Protection
2.Power Fail Protection
3.Temperature Throttling/Overheating
4.QoS for Performance
5.SSD Endurance
Stay tuned for future webinars which will look at the benefits of flash beyond performance…busting a few more myths on flash.
All-Flash Versus Hybrid VMware Virtual SAN™: Performance vs. Price Western Digital
Learn how flash storage and VMware Virtual SAN 6 can help drive IT infrastructure consolidation for better business outcomes. Watch the full webinar here: http://bit.ly/1UbDNKF
Mission-critical databases and business applications serve as the lifeline of many organizations. Therefore, performance is tantamount. In this webinar we’ll review a recent ESG study that confirms running VMware Virtual SAN cluster with SanDisk SSDs easily accommodates the performance and cost requirements of an enterprise-class virtualized OLTP database environment and delivers a better price/performance at the same time. Join Patric Chang, SanDisk Technical Marketing Manager, Jack Poller, ESG Analyst and Jase McCarty vExpert from VMware to learn:
1. Key features, highlights and benefits of VMware Virtual SAN 6
2. Hybrid and All-Flash Virtual SAN Configurations with SanDisk SSDs
3. Performance results (NOPM) of Hybrid and All-Flash VSAN
4. Price/performance and comparisons between Hybrid and All-Flash Virtual SAN configurations
The All-Flash SAP HANA Solution: Performance, Economics, and Reliability Western Digital
Watch the full webinar here: http://bit.ly/1UOoqbo
In this webinar members from Lenovo and SanDisk will introduce you to a high density SAP HANA solution. In this webinar you will learn how moving to an all-flash solution enables significant cost savings, efficiency gains, and removes complexity. Experts from Lenovo and SanDisk will show you how this solution delivers:
•82% reduction in overall sub-system power and cooling requirements
•20% reduction in hardware footprint
•Removal of multi-storage tier complexity
•Removal of cache tier and costly cache software licenses
•Elimination of wasted capacity
Learn how embracing an all-flash solution provides superior durability, better data protection, efficient use of existing capacity, and performance gains that will transform your business critical applications.
Consolidation on Flash- Hardware for Nothing, Get Your Flash for Free (I want...Western Digital
By now, Tier 1 apps deployed on flash is ubiquitous. However, Tier 2 apps often remain relegated to spinning media. This presentation explains the economics of consolidating on flash. Owing to the SQL Server core licensing model, licensing a 2-socket commodity server can cost up to $500,000 or more! Consolidating instances on flash can—and does—save hundreds of thousands to millions of dollars. This presentation provides real-life case studies showing such real-life savings.
5 Tips to Building a Successful Big Data StrategyWestern Digital
Watch the full webinar here: http://bit.ly/1Yqr5Lz
Companies are seeking ways to leverage big data and analytics to improve business operations or create new revenue streams. But where do you begin? Join Janet George, SanDisk Chief Data Scientist, as she shares the biggest challenges companies face when first analyzing their data, common mistakes and 5 tips on how to build a successful big data strategy.
Flash Stories: How Customers Make Smarter Decisions FasterWestern Digital
Watch the full webinar here: http://bit.ly/1Q2thar
Every second counts in the data center. When storage latency prevents you from meeting SLAs or improving data center efficiency, solid-state memory can be used to meet a variety of needs. Join Rob Callaghan, as he shares real customer stories on how they were able to virtualize SQL servers, reduce search queries, and improve QoS by leveraging SanDisk flash technology. You’ll learn the unique architecture advantages of flash storage and the broad range of SanDisk solutions that have helped customers dramatically improve application performance while reducing capacity challenges and cost.
Flash & Open Source: Creating New Possibilites in the Data CenterWestern Digital
Watch the full webinar here: http://bit.ly/1Xo9x33
As data continues to grow exponentially, datacenters are challenged with how to manage the increase in data complexity with on-demand access. When there isn’t a good solution to meet the need, Open Source and Flash are at the heart of solving these challenges by enabling companies to create scalable, agile and cost-effective datacenters. Join SanDisk’s Nithya Ruff, Open Source Strategy Director, as she outlines the use-cases for Open Source, and how to leverage the powerful combination of Open Source and flash technology to enable easy scaling, fast deployment of new services and improved user experiences and QoS.
On-Demand Presentation: https://www.brighttalk.com/webcast/12587/177413
Deploying All-Flash Cloud Infrastructure without Breaking the BankWestern Digital
Watch the full webinar here: http://bit.ly/1PsFrUo
As the amount of data companies generate and consume increases year over year, cloud computing is becoming more relied upon to help businesses improve efficiencies and reduce costs. However, the challenge is maintaining a balance between performance, capacity and cost for the varying types of workloads. Join Venkat Kolli as he discusses how to achieve flexibility and performance at economies of scale with the only all-flash storage solution specifically tuned for OpenStack environments.
Recorded Presentation: https://www.brighttalk.com/webcast/12587/175373
Watch the live webinar here - http://bit.ly/24Pr3N7
The growth of data has put a strain on data center performance and efficiency. Solid-state-devices (SSD) are playing a significant role in increasing storage speeds and performance – but it’s not a simple plug and play solution. Join Adam Roberts, Chief Solutions Architect at SanDisk, to learn 5 tips to consider when looking to improve storage performance and data center efficiency with flash.
Presented at LinuxCon 2015
----------------------------------------------------------
Change is in the air. The data center of today is tackling new workloads like big data, cloud computing, social and mobile. Nithya Ruff, Director of SanDisk's Open Source Strategy Office, explains why the disruptive combination of flash storage and open source will move the needle to a new data center.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
4. What is Erasure Coding and how does it work?
Encoding
Decoding
Simple example for a 3/1 erasure encoding
5. What is Erasure Coding and how does it work?
Simple example for a 3/1 erasure encoding
• We solve for x:
OR
x+y=12 [+]
x-y= 2
2x =14 [∕2]
X = 7
2x+ y=19 [+]
x- y= 2
3x =21 [∕3]
X = 7
Encoding
Decoding
6. What is Erasure Coding and how does it work?
Simple example for a 3/1 erasure encoding
• We solve for x:
x+y=12 [+]
x-y= 2
2x =14 [∕2]
X = 7
Encoding
Decoding
7. What is Erasure Coding and how does it work?
Simple example for a 3/1 erasure encoding
• We solve for x:
OR
• Then we solve for y:
x+y=12 [+]
x-y= 2
2x =14 [∕2]
X = 7
2x+ y=19 [+]
x- y= 2
3x =21 [∕3]
X = 7
7+y=12 [-7]
y=5
Encoding
Decoding
8. What is Erasure Coding and how does it work?
Simple example for a 3/1 erasure encoding
• We solve for x:
OR
• Then we solve for y:
OR
x+y=12 [+]
x-y= 2
2x =14 [∕2]
X = 7
2x+ y=19 [+]
x- y= 2
3x =21 [∕3]
X = 7
7-y= 2 [-7]
-y=-5 [*-1]
y=5
7+y=12 [-7]
y=5
Encoding
Decoding
10. What is Erasure Coding and how does it work?
Erasure Coding is a data protection scheme that breaks data into shards (fragments) that
are encoded with parity (redundant data), and then stored across multiple storage media
and locations.
11. What is Erasure Coding and how does it work?
Erasure Coding is a data protection scheme that breaks data into shards (fragments) that
are encoded with parity (redundant data), and then stored across multiple storage media
and locations.
Why you should care
12. What is Erasure Coding and how does it work?
Erasure Coding is a data protection scheme that breaks data into shards (fragments) that
are encoded with parity (redundant data), and then stored across multiple storage media
and locations.
Why you should care
• You only need a subset of the shards to rehydrate data.
13. What is Erasure Coding and how does it work?
Erasure Coding is a data protection scheme that breaks data into shards (fragments) that
are encoded with parity (redundant data), and then stored across multiple storage media
and locations.
Why you should care
• You only need a subset of the shards to rehydrate data.
• You can replace failed components when convenient, without taking the system offline.
14. What is Erasure Coding and how does it work?
Erasure Coding is a data protection scheme that breaks data into shards (fragments) that
are encoded with parity (redundant data), and then stored across multiple storage media
and locations.
Why you should care
• You only need a subset of the shards to rehydrate data.
• You can replace failed components when convenient, without taking the system offline.
• You can reduce CAPEX and OPEX compared with mirroring/replication approaches.
17. What is Erasure Coding and how does it work?
Erasure Coding encodes data and compartmentalizes
it such that only a subset of the pieces are required to
recreate the original information.
18. What is Erasure Coding and how does it work?
Erasure Coding encodes data and compartmentalizes
it such that only a subset of the pieces are required to
recreate the original information.
For example:
5/2 encoding requires (5-2) of 5 pieces to rehydrate it
10/3 encoding requires (10-3) of 10 pieces
18/5 requires (18-5) of 18
etc.
19. What is Erasure Coding and how does it work?
Simple example for a 18/5 erasure encoding
• We solve for x:
OR
• Then we solve for y:
OR
x+y=12 [+]
x-y= 2
2x =14 [∕2]
X = 7
2x+ y=19 [+]
x- y= 2
3x =21 [∕3]
X = 7
7-y= 2 [-7]
-y=-5 [*-1]
y=5
7+y=12 [-7]
y=5
Encoding
Decoding
… …1 182
Any 13 of 18
equations to
decode object