#DataReplication
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swiftnliftnewsandarticle · 10 months ago
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How does Google store their data?
Google stores data using a highly sophisticated and distributed system that includes several key components:
1.Data Centers: Google operates large data centers around the world. These facilities house vast amounts of servers that store and process data. Every data center has sophisticated cooling and power management systems, as well as redundancy and efficiency in mind.
2. Distributed Storage: To guarantee data availability and dependability, Google employs distributed storage systems. Smaller pieces of data are dispersed among several servers and data centers. This method offers fault tolerance and improves performance.
3. File Systems: To efficiently manage enormous volumes of data, Google has created proprietary file systems including Google File System (GFS) and its successor, Colossus. Fault tolerance and high-throughput access are supported by these systems.
4. Database Systems: Depending on the use case, Google employs a variety of database technologies, such as Bigtable, Spanner, and Cloud SQL. Cloud SQL offers managed relational databases, Spanner delivers global transactional consistency, and Bigtable manages large-scale structured data.
5. Data Replication: To provide high availability and durability, data is copied across several servers and data centers. In the event of a hardware breakdown, this replication facilitates speedy recovery and helps prevent data loss.
6. Data Security: To safeguard data, Google uses a number of strong security measures, such as access limitations, encryption, and ongoing monitoring. Both in transit and at rest, data is encrypted.
By combining these technologies and practices, Google ensures that data is stored efficiently, securely, and reliably, supporting its vast array of services and applications.
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enduradata · 1 year ago
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skillstek · 3 years ago
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Data Replication Process in SAP Central Finance
What is Data replication and its Process in SAP Central Finance? Read in detail.
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gainintech · 3 years ago
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Warm Greetings from Gain In Technology- Bangalore, IN. We are supporting SAP Real-Time Online Training with Industrial Experts who have min 8 yrs of experience. Find below to get more details about SAP MDG Training Module: SAP MDG (Master Data Governance) Duration: 25 to 30 hrs Batch : Depends on Consultant availability   Meeting Software: GoToMeeting Materials: Daily Class recording, Trainer hands-on Document. Server Access: 3 Months We are starting a new batch on SAP MDG if you are interested and need to attend a demo please contact on below Mobile/Whatsapp: +91-9606239101 #training #onlinetraining #onlinecourse # #technology #data #sap #bangalore #India #hyderabad #pune #Chennai #datagovernance #masterdata #masterdatamanagement #sapmdg #mdg #datamodeling #UIModeling #workflowmodeling #datareplication #datamigration #bcsets
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aoflima · 4 years ago
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Demo - How to Quick Automate GoldenGate Microservices Replication
DEMO - How to automate your GoldenGate Deployments. #GoldenGate #OracleDatabase #autonomousdatabase #oracle #oraclecloudinfrastructure #dataintegration #datareplication #datamesh #datafabric #databasemigration #oci #microservices #oracleapex #Exadata
The purpose of this post is to simply demonstrate how we can automate the GoldenGate Microservices replication from connecting the remote databases to create extract and replicat. For demonstration purposes the GoldenGate is installed as a HUB configuration, connecting to a source 12c database to a Target 19c database. To simplify the demo, there will be no Distribution Service configuration (I…
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sankarshan · 6 years ago
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Curious about #GlusterFS? Check out our 4-part video series where #45Drives Co-Founder & Lead R&D Engineer discuss GlusterFS architecture! https://t.co/dPkQh687sx@gluster #datareplication #disasterrecovery #bigdata #data #sysadmin #Gluster pic.twitter.com/gZurD4Fmj3
— 45 Drives (@45Drives) January 15, 2019
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gendaryavenueunknown-blog · 8 years ago
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IBM Data Replication: A Q Subscription...
#IBMDATA #Data #Replication: A Q #SubscriptionGenerator (#RECIPE)#IBM#DATAREPLICATION
IBM Data Replication: A Q Subscription...
IBM Technical Rock Star Program
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megamof76 · 10 years ago
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Paxos has been the de facto way of eventually consistent data replication based on consensus among a bunch of connected process nodes. But paxos had always been considered a complex algorithm to understand, but @harrybrundage, has done an excellent job of demystifying this seemingly unanimated algorithm with great graphics.
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henrycater93 · 4 years ago
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Data migration tools
Download a light-weight & easy-to-use enterprise software that transfers your #NFS and #CIFS/#SMB data volumes over #LAN or #WAN - with support for scheduled or real-time #datareplication jobs.
Download here: https://stonefly.com/migrate
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henrycater93 · 5 years ago
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Protecting AWS Workloads with Veeam backup & replication to StoneFly Cloud
One of the great things with the integrations with #Veeam #backup & #datareplication to Cloud & Smart Cloud #Gateway is being able to take the #backups that are running the EC2 instance and store them #offsite.
Read more: https://stonefly.com/blog/protecting-aws-workloads-with-veeam-backup-replication-to-stonefly-cloud
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henrycater93 · 5 years ago
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Veeam Backup and Replication in Azure Cloud
You can configure an easy-to-use and enterprise-grade storage gateway between #VeeamBackup and #datareplication and Microsoft #Azurecloud using #SDS solutions.
Explore: https://stonefly.com/hyper-converged/scvm-virtual-storage-appliance
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henrycater93 · 5 years ago
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Data Services Enhancing Servers Performance
Integrated data services such as #snapshots, #datareplication, & #erasurecoding together with proven hardware technologies like #RAID ensure business continuity and #highavailability for mission-critical workloads.
Explore: https://stonefly.com/hyper-converged/appliance
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henrycater93 · 5 years ago
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Data Replication Easier with HCI
#DataReplication is coupled with #erasurecoding to chunk #data into fragments imbued with some parity information. Each fragment is written to many locations across a cluster.
Learn more: https://stonefly.com/hyper-converged/appliance
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