Add files via upload

datera (1).md

@@ -0,0 +1,269 @@
+## DATERA
+
+Datera was co-founded in 2013 by contributors to open-
+source LIO_(SCSI_target) storage, Marc Fleischmann, Nicholas
+Bellinger and Claudio Fleiner. In 2016, Datera emerged from
+stealth and raised $40 million in funding from Khosla Ventures,
+Samsung Ventures, Andy Bechtolsheim, and Pradeep Sindhu.
+Datera partnered with open source private cloud platform, vScaler
+in 2017 to deliver scalable private clouds for a range of workloads
+from high-performance databases to archival storage. Datera is a
+global enterprise software company headquartered in Santa
+Clara, California that developed an enterprise software-defined
+storage platform. Datera was acquired by VMware in April 2021. 
+Datera provides the perfect storage for database acceleration and
+providing a database as a service for their customers.
+Datera is recognized by network world as a Hot storage Company to
+watch,CRN as a Top Software Defined Data Center Provider and the
+telecom council as a service provider innovation award winner.
+Datera data services platform is a set of automated data services that
+includes data compression,snapshots and replications to manage the
+data across nodes.
+websites www.datera.io
+Organization/Foundation
+
+## Name Datera 
+
+## License
+
+Open/Proprietary Proprietary
+Source path(if open source)
+
+## Brief description Datera is a cloud data
+
+management platform designed
+for data centers. It enables
+users to archive data and
+manage lifecycle flow policies
+automatically, replicate and
+transfer data between sites and
+cloud-based on access patterns
+and data policies automatically,
+consolidate files generated
+across dispersed environments,
+streamline the dynamic
+allocation of resources, optimize
+the use of physical server
+infrastructure, mix and match
+generations of servers within
+the clusters, and mitigate the
+risk of a media firmware
+endemic bug. Features include
+cloud-based analytics portal,
+self-service portal, snapshot
+management, copy2cloud, and
+lightweight directory access
+protocol (LDAP) integration
+At TechFieldDay
+18 the Datera company give an
+awesome presentation.
+
+Project summary
+Project details
+Key features
+
+Datera Orchestration: for Datera this means that data can be
+moved dynamically across all of the resources without
+impact on the application. On the storage level.
+ Enterprise performance: Delivering deduplication,
+compression and encryption as well as other storage
+services can introduce a big performance impact, Datera has
+some intellectual property that enables their customers to
+have all of these storage services and still have enterprise*
+performance.
+Ready Choice: This would be the ability to adopt to new
+technology. Datera promises the ability to adopt these new
+technologies is not only available for the new workloads, but
+the legacy workloads will also benefit from this.
+ Data Center Awareness: Datera encourages their customers
+to implement their storage in a distributed version across the
+racks. This provides their customers the possibility to provide
+better fault resiliency as well as getting the data closer to the
+application.
+Predictive Operations: By constantly collecting telemetry
+information from the running workloads, Datera can monitor
+and predict the behavior of the workloads, making sure a
+custoamer can utilize the storage to the fullest.
+Architecture
+A data architecture describes how data is managed--from
+collection through to transformation, distribution, and
+consumption. It sets the blueprint for data and the way it flows
+through data storage systems. It is foundational to data
+processing operations and artificial intelligence (AI) applications.
+
+ A good data architecture ensures that data is manageable and
+useful, supporting data lifecycle management. More specifically, it
+can avoid redundant data storage, improve data quality through
+cleansing and deduplication, and enable new applications.
+Modern data architectures also provide mechanisms to integrate
+data across domains, such as between departments or
+geographies, breaking down data silos without the huge
+complexity that comes with storing everything in one place.
+Modern data architectures often leverage cloud platforms to
+manage and process data. While it can be more costly, its
+compute scalability enables important data processing tasks to be
+completed rapidly. The storage scalability also helps to cope with
+rising data volumes, and to ensure all relevant data is available to
+improve the quality of training AI applications.
+**Reducing redundancy:** There may be overlapping data
+fields across different sources, resulting in the risk of
+inconsistency, data inaccuracies, and missed opportunities
+for data integration. A good data architecture can
+
+standardize how data is stored, and potentially reduce
+duplication, enabling better quality and holistic analyses.
+Improving data quality: Well-designed data architectures
+can solve some of the challenges of poorly managed data
+lakes, also known as “data swamps”. A data swamp lacks in
+appropriate data quality and data governance practices to
+provide insightful learnings. Data architectures can help
+enforce data governance and data security standards,
+enabling the appropriate oversight into data pipeline to
+operate as intended. By improving data quality and
+governance, data architectures can ensure that data is
+stored in a way that makes it useful now and in the future.
+Current usage
+Datera software deploys on industry-standard servers from Dell
+EMC, Fujitsu, Hewlett Packard
+Enterprise, Intel, Lenovo, Supermicro, and QUANTA to store
+blocks and objects in on-premises data centers, and private
+cloud and hybrid cloud environments
+ Dell EMC
+Dell EMC (EMC Corporation until 2016) is an
+American multinational corporation headquartered
+in Hopkinton, Massachusetts and Round Rock, Texas, United
+States. [2] Dell EMC sells data storage, information
+security, virtualization, analytics, cloud computing and other
+products and services that enable organizations to store, manage,
+protect, and analyze data. Dell EMC's target markets include
+large companies and small- and medium-sized businesses across
+various vertical markets. [3][4] The company's stock (as EMC
+Corporation) was added to the New York Stock Exchange on April
+6, 1986, [5] and was also listed on the S&P 500 index.
+EMC was acquired by Dell in 2016; at that time, Forbes noted
+EMC's "focus on developing and selling data storage and data
+management hardware and software and convincing its
+
+customers to buy its products independent of their other IT buying
+decisions" based on "best-of-breed." [6] It was later renamed to Dell
+EMC. Dell uses the EMC name with some of its products. [7]
+ Fujitsu
+Fujitsu Limited is a Japanese multinational information and
+communications technology equipment and services corporation,
+established in 1935 and headquartered in Tokyo. [3] Fujitsu is the
+world's sixth-largest IT services provider by annual revenue, and
+the largest in Japan, in 2021. [4] The hardware offerings from
+Fujitsu are mainly of personal and enterprise computing products,
+including x86, SPARC and mainframe compatible server
+products, although the corporation and its subsidiaries also offer a
+diversity of products and services in the areas of data
+storage, telecommunications, advanced microelectronics, and air
+conditioning. It has approximately 126,400 employees and its
+products and services are available in approximately 180
+countries. [2]
+Fujitsu is listed on the Tokyo Stock Exchange and Nagoya Stock
+Exchange; its Tokyo listing is a constituent of the Nikkei
+225 and TOPIX 100 indices
+ Hewlett.
+The Hewlett Packard Enterprise Company (HPE) is an
+American multinational information technology company based
+in Spring, Texas, United States.
+HPE was founded on November 1, 2015, in Palo Alto, California,
+as part of the splitting of the Hewlett-Packard company. [2] It is a
+business-focused organization which works in servers, storage,
+networking, containerization software and consulting and support.
+The split was structured so that the former Hewlett-Packard
+Company would change its name to HP Inc. and spin off Hewlett
+Packard Enterprise as a newly created company. HP Inc. retained
+the old HP's personal computer and printing business, as well as
+
+its stock-price history and original NYSE ticker symbol for
+Hewlett-Packard; Enterprise trades under its own ticker symbol:
+HPE. At the time of the spin-off, HPE's revenue was slightly less
+than that of HP Inc. [3]
+In 2017, HPE spun off its Enterprise Services business and
+merged it with Computer Sciences Corporation to become DXC
+Technology. Also in 2017, it spun off its software business
+segment and merged it with Micro Focus. [4]
+Intel Corporation is an American multinational
+corporation and technology company headquartered in Santa
+Clara, California. It is the world's largest semiconductor
+chip manufacturer by revenue, and is one of the developers of
+the x86 series of instruction sets, the instruction sets found in
+most personal computers (PCs). Incorporated in Delaware, [5] Intel
+ranked No. 45 in the 2020 Fortune 500 list of the largest United
+States corporations by total revenue for nearly a decade, from
+2007 to 2016 fiscal years. [6]
+ Intel
+Intel supplies microprocessors for computer system
+manufacturers such as Acer, Lenovo, HP, and Dell. Intel also
+manufactures motherboard chipsets, network interface
+controllers and integrated circuits, flash memory, graphics
+chips, embedded processors and other devices related to
+communications and computing.
+Intel (integrated and electronics) was founded on July 18, 1968,
+by semiconductor pioneers Gordon Moore (of Moore's law)
+and Robert Noyce (1927–1990), and is associated with the
+executive leadership and vision of Andrew Grove. Intel was a key
+component of the rise of Silicon Valley as a high-tech center.
+Noyce was a key inventor of the integrated
+circuit (microchip). Intel was an early developer
+of SRAM and DRAM memory chips, which represented the
+majority of its business until 1981. Although Intel created the
+
+world's first commercial microprocessor chip in 1971, it was not
+until the success of the personal computer (PC) that this became
+its primary business.
+Technical details
+ Datera continuously monitors how the cluster is performing
+relative to the specified application intent, i.e. compares
+admin_state and operation_state. Application requirements
+in the form of policies are specified by the application admin,
+and the control plane works to apply them constantly to a
+completely programmable data plane based on the availability
+of physical resources. A policy change to improve performance
+of a subset of data would involve that data migrating to a node
+supporting media-types to better fit the policy autonomously
+with absolute transparency. Software on the individual nodes,
+built from commodity infrastructure, utilize resources-specific
+capabilities depending on the type of storage, CPU, memory
+and networking Transformation — protection, compression,
+encryption, duplication…
+
+Additional information
+
+Datera Embraces Change and Storage Autonomy
+
+Datera was designed with one single mantra in mind “The only
+Constant is Change”. Software on the individual nodes, built
+from commodity infrastructure, utilize resources-specific
+capabilities
+depending on the type of storage, CPU, memory and networking
+that optimization
+
+The autonomous characteristics of Datera Storage systems include
+
+ Recovery: A Datera system will autonomously recover
+and adjust data in a way to meet the policy intent during
+failure and restoration of a variety of physical and software
+components.
+
+ Policy Changes: Policies can be changed on the fly and
+the system will autonomously adjust data placement in an
+
+entirely transparent and non-disruptive manner to
+configure the data plane to meet the policy intent.
+ Autonomous Redistribution: Datera allows creation of
+application intent to be created via AppInstance, even if the
+capabilities are not currently available on the cluster. When
+resources such as new storage media, memory are added,
+as part of closed loop autonomous optimization, the data
+will be redistributed in a non-disruptive manner to meet
+intent. Datera allows admins to decide the end-goal and the
+system strives to meet the goal when resources are made
+available.
+ Data Placement: Datera provides an outcome based data
+placement mapping driven by application intent.
+ Rolling-Upgrades: When a new software version is
+available, the cluster will autonomously provide the
+updaates