From 2b903bc036ea0745bfeff39181536396c4b2e437 Mon Sep 17 00:00:00 2001 From: Jemimaoxox <123721543+Jemimaoxox@users.noreply.github.com> Date: Mon, 20 Feb 2023 12:02:02 +0530 Subject: [PATCH 1/2] Add files via upload --- datera (1).md | 269 +++++++++++++++++++++++++++++++++++++++++++++++++ datera.md | 272 ++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 541 insertions(+) create mode 100644 datera (1).md create mode 100644 datera.md diff --git a/datera (1).md b/datera (1).md new file mode 100644 index 00000000..d2829ec5 --- /dev/null +++ b/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 diff --git a/datera.md b/datera.md new file mode 100644 index 00000000..e179fc47 --- /dev/null +++ b/datera.md @@ -0,0 +1,272 @@ +## 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 + +ARICHTECTURE OF DIAGRAM +![Datera and the Rise of Enterprise Software-Defined Storage | PenguinPunk.net](https://www.penguinpunk.net/blog/wp-content/uploads/2019/03/Datera_ESDS_1.png) From 07e3f826c050141f009ccb34ebaa32a4f6aff71a Mon Sep 17 00:00:00 2001 From: Jemimaoxox <123721543+Jemimaoxox@users.noreply.github.com> Date: Sat, 6 May 2023 12:41:12 +0530 Subject: [PATCH 2/2] Add files via upload --- DATA.docx | Bin 0 -> 12738 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 DATA.docx diff --git a/DATA.docx b/DATA.docx new file mode 100644 index 0000000000000000000000000000000000000000..b33beb5b5132fcfd3023589b16917ab16ca66d27 GIT binary patch literal 12738 zcmeHtgeQ*XNJaB`(#LpR z3m%5WZ`(}1#(2~l39PFkL)?DWoNeuRvfNOt6b-#`V;>OTXXIu0W2xT&qUaN&RVh6p zIfw%uusPO$wy(k@uTt65y>Eagc&(d_{wluq8<)4OBss3}B4|e4EKxQ?bdDH7E(M@>14zZ?4W~lm`>8U#b*P z)!!{KiL*e(jxVR>R;cH!WIofv7e+$02}o>#iBRZb*YN@Td-4HTvO-nB^N}`;{M_Zx z6#OOupw$XOtT{}M`}M@`!cs<9{lttc_Q2%O`b;Y>FI)H6|##bj@a^7qL{>mm> zm}qbpd~b6D0{}cf!vGZiW|G9Q_>HF!J(Gu6+$)Gl>N%QNgIJhWUtYaD zuG_Mg6-oHi|IvS{U2&-!H&33$XcCOO2>((`N)`jWVEOIoQD9*KT4&$j-N^Jz{G6FwmzU|F^6h7e4@Y(?+uXdRq?RXq>0618AflFWJRd|; zp_*h4rkLoS)moje$_MdH?2(pqSB&`9tSnR+v4-V{_-AcX2OfEyMSY=xj0iahp)B`a zrrPM5PkUjzctYH#WE%B)8+HU4IwBVk$Mm1}F>hR_cnO&dHi-2Q0$xJ7+Bq7t{L4s; z?TnmlAl~aYxAlj?KtX&LM9%;1qdaZ|qA-xPJMhUr#hZ!WTS0W&TABkt=DWE2e>74T@hW18`=&bLwWbXw%ZXsKl z|I`{rW({XzcmQC61^_^VD8uhs^H+U2($oTh`Cj|1r9Pq%3h{JsCdYfEW#mvT?GkFt zPW9=Yjzp1&L_><49jZlK>De@7IJVwH!(I`hbOM z6}qipatHjOK58AE254V5$3=1pyuxsMhMAkvD^#3{wW{aa=%1}mqCi)vj3ij~d;IR=h?=&$`mCl)5N~o^u>) zXZwh}pB;8mdit2l2SLEdiNqLCx8dYRyLvDx-Od0A0P;+xs9&jPET zkl2~#)61tUel#!Z+v{*NKex&)(}2@#ldr}*kWdT13}hpCyHzaFdv(0ddjySH}>Zo=uS;IYHq}6)D z=E7vz%>#Va<93Cli>3J*P1`G#b(L?lD>1%!Lak)9H=Rim_6v=^U@oKZq>Sb_R5`ot zO{grq#Vay=mgO?lMo-Hp;96$m0W*hgkSqAd7TR9644Z?a*Y;fv@(dR0YB0D=H6s&N zw+!^y@d4TOdUim5@k(X%6h{NMJE&HGdGkTgRwsVqo}*+!TRO(KL~Y8j-Njk?ev>%I z*fp0 zn(J113EhIowj4&Q!r7lD15yQ2+Dtw5)K*PGa$Z`0@FcZ$7%!F~HTj%Nput%k$@cnA zk`HQ)l~rk@xFO->{OB{ z99j)DBXISTb`c;7_H>&-5en8Z3L1XNA*vf{jWngrR~@MFBjm_R+j!m0)5)Um#d4U; z13pmH*fc#%L;*LMu5aOV(XJ_T2X5dYb@Q0u1Wu`j25y&(?R&$Wp8PQgFk>(o;KwCDxp;yErMpK8s&T zlXzPv&MRbqE;P{5eY?N2$X{^FKK)#Fl_&is43wAE7hJ7dNdDkeMpFJ5DX+`HeMV~J zeE@!Ud={)Wa%J0S#nQt*-g^xctbp_Sj@OB*QYOzkdh%Ti<)VcD*=JcrXYk>aF+8vUg$pOjtgf#DB|wptF8y3tz+%>+dxu6+$jur6 zA~3RyPKzrkEpu022q0XVT!fxZd5a{#ScjA%WF#Bgd2n!nA)+|h?A>0)}Bwz{OD`jO1blhTu2*fZo?&(8=1XGg4=KoseCpY zi@RJ#u;Y!HRj2x1f+jTfqjQ5omDv@j0fc_2cGLkC%-F0;rT2gck&n@DO6d&@KVx_X zXnlTBCRRKU0l+b5rd=<8{+#$Gt7M@!9rJT~bEJmU>0M3h{s>@4D>xK!mS=;wKcBm> zc0i5h9qr!ne#!aC=7-@DpnZR2LgUR0-Af4ob8fa< z9jr|l>S&KlhR-|X)&6>`a>(;2(UwpvU|xA5J*P~5dKbHlJ*jmoI9+@a7*XvJ*2ZIT zWIg;cU!cACXGvqR?$vuB-@V?Z&NIqCIaByX;ZjOC03aG40KodgnL3%9*qE^VerEe^ z19qe#7f!%~+ktaO64cC34CZ)J-$dT3`CPv!C+ZR(mnT3mK|3E2L3vt<@G&mKgAQ|g zS`4QBNfXJLxLtiHbDjpoXm(U`p&gJq3Vd^-%>fo}KoB zU7LFSsn##q-o{ntnC4VZu3yfApok<{LULvts%)zMjGAQU;+pcRx zt+{I9>wZL!s2ze^I!}wtPB}(rr@je7TRmSkDC_X6Qka`Q7(V9cu&F3mC(99oQW$zc zXo8*fegiiE8V3*o#MFSNmH*n4{wacW>S*?J&J61F&VULP7FspD$Pk|$;vz79+o&cc zm+o{a3$e-t;m6%v*#!;DMAn1H)8+ncd=`$8-O>s`L;H*8eXpAD+vnxGi{#Ta!TY5M zGn0q(tPZye@agk*rd551`}yup__sBm+kxl_B>SvSig-Q|N`vKEXR|FbN^By%0DJMZ zu}xm6V(SevHW<7ZZn#T78vMI?LVf+Nt8C(dd*#7E1UK(%1q!c(NxXM(>tmF2e!&6j z#5w(MRuYU7^H@g=FV>w@`&VA9f8}(kPTJ|Vrk{Vy-i(A^Jk{neF)V__G03#|jv5tz zl$bQX?+P_Aft7uC9>(|zz#g=X8(BYB&))J;DK@z|G<&cSJH7W_HCjLZUQl2v*3b@M z?TAo=-G8XxFJftoq@)cb24tp45|3FFzsPWi-N!XFL?$0h8QSIkY~^H!n95f4h&u6s zNa{^mN({VT414W+Y7yw^l30%6IQDA{ZZsK8b=Q|Xain*zW1VB+V{GJpdc!t2>9sYU zBH*#Jpe}Oc6*57Ec9873A!R%2>dahWn&5;zq_ugTzF!Rt>3BM6)&RMZ?whWgd|fUY zY)YS}@*=R+X@U`@xZF5&AsMaZSFpx{x%6Fp();p!QQK}KbgEmfc2~~)qt98VS*me$ zW#Hu&h2X%MADxMrp~sX0XK5I_rXam6hN3o7(S{+S@?vg)Z;+c~f?o-4VIeSNvB!C| zoX%j=T44;hRtqyRErz~R(V%(mM2`f}YY49^Fvp=mo6t(Hm@`_KZZGXSaA+nawOI=k zw_yD&-YcA|!l^4PI%ZA7$OngQv+u+3>Z)NdY{3^hM#$RDc3iTY$IpQBA_0uExZ+;e z_~JvB%L;3I)OJg{tQDp7h#ZZgW)MQiy2nKnXhowyIgduHMk;U4hom`)ytWXTcgAYI zWC4Wyz6qhb-YUAULIHE8?iEzq*P8wSFuoY zgqg%KdmrdpQ}RpaHtzspiwZS_R@cb%3>&7sBUPAJ4mH2g)!TyU9ByH9#BI1zfO72I z3R(>Zvo3CAw8)LxY2fh?oh-P+GF4*KzILTKZr%4WQ(`qg?l)WbdNb%s&twHCVEa%; zn$e5rMRmrTxbljvgd7FdkPmbf9F|tIH@UTormr7>eLvfPHtTa4K2=ZZuz@rdVjbEsFFh0dlUw0(^irRNMD<*Ve~HmRCQeQkwq~H;TuQwv*cQx->aC~$EHZgP z|AlfyE`Tr4XaJ1q&|2I^A}p047r+yfK;&BU+#x0%aa2gV%yegLIX;?7=5G4E@iY?; z`C8qA{Dv{2s^7rRoyxMOvF_}2jK1YHj16iP8W!P155@dOD|pS<({qrE8*bSNfT_J# zo)*Y&WGslkZyAg?ttM*tTAu<_3{G&)BLv8}dp7?C9wE8YG z$qnF7Ar%>|bzV=-NEW5`&{^YJP zo4qI6JbwXx`%0JOC6uNrMAuPIy+{swhYEBMN$nE$Es$6<&jo6RSS>qVax_$YFm?R+?lIm>AV+(eTQ@nnm4mj zG}6*28{C1ngVDa`<(Ip4CWqn>kHxn;dV{?yd5##yGKeFvcNMHk03A^Y_R0Npisjcl z_JCmP14?iUjJ4QE@lj-V#bA)$PNSuog{cxD=w!sRz%M6-f~u$x5fl&g=imE@JIC7M z%YOP@8F+>|yTl^+%AoDgtxa z!NagLt-j7z=o%$7%<|(DB8_OJw<~BT=jdXsTOabxWl(^M@a93ZIwH~TU0lQ?R=GRq zJhpP*ByHeVSH-+%5FZ~l0!PN-%b%2U6Nx+&BweP@n9q%;-=W(QBV4$wBn3uqvS!O? zCwJh2R6l2gjPaN-J{+t2XsBsXxV-hs`&e!3gjxY}ej3HeJ&qg;gzymz^NvEaw* z$LS>kkrLkZyGOrHcIV)1SIJEi9*~G`F2|*qI{ZDMP_Os^7uy-lySTI*v!*H(n_DCpv>JVenl>K z$SD>0&4N4nB-!=n#r@$vy$;p$wcNq;>BdTI`WA zO3tMAbv5?OeS-a>)QO9;8w<`w8I5?dSBYp`$D-fM7-6QQdJT3xEZ7!!?cBO5>^OQK2P!+!#xDhmBd6&J zYd_UceP(^)$Na`AJ(wkb6j4vMGSN0G>4eQU*Bi_270k`sdEAbH4zS|(*v6|oLWpM> z7X~7nc5xX5^~vHnW+79{p=5ses-PA`8n$^TuVci|!)r^hnSMLzNh|@@4Qt)wf4x(i>;k-dV z6asBuS3b~0$+nB=DuV-A_$jaZe3!^(pjCY#pYcCGbiB*F6fWdL3q!ITn16g|R};ez ze_8Gmrn;qJ*ihltTi5vmmciEHOtns0s3mS_BHn(SpKbh8We4+Z4`=u*RnSugJLc7`vbp_TBd zMW=F%tegTXDcK;kGG*_OQHA_iPy%Y@j}rKEcb-glp;2o+48!ZaHq}=7;BEYa4zZ!a z)n3Ln7*%G?jvW?_?#DdM(|pT^`lug#CXQWrNg>nNzPlXaq1d->k;mdr?=@rL8P|Z z_56oK6S7EU6RI>M-~DS%Q+MMTh9MH z7Nkc)P)woFb<$$4jfLE`6*YKGTQH@uh&d`#p&_G~}E5CCYcF8pkcDB=WUyS$l-=f-hAJ3e`OzQ6LYspZ|#u!lWV z&e<~-Fr)-9A(mXa$gj?i*aM-1wPiA~@OQV7q8O*a>EbEsnAp1323@((IBsz+HLRdo zF;2Du`6JRj+ijwy@bsQtLT}5)S^Jtjt!y--4{0!tL$Nc6xM@+6%#w6``EM4=;Uq=K z{0TYv_=qDdP9>_FTbC3VIy0Jk>OPjus~#=W6!95pB;`3OX+1s|-PL&bR8-;9>l{l1 zq%i0Vl~Y90CIv5J`MtdTy9$@71hKJsvALbyVxBY`R_9A?PB*l%Rr%K547SOA!cfJ# zv|F%;e{nkA)SKu#8wq`De-eGepkn*#oyub{XDN|RnsyR6;syJeOlUgRm*M;EbBlIL zi?6v-gC}C#I&~IaJfV2^<UjE}2L{=xewd@rDaPJ5J z{I=r$o+$!3xm%n39)q-f20Maz(SuGKE!RF4l&yq|Cq;)^WzdntHCTbp#K*Vs$;n<> z#Z7)Pww{<_0mPy2Q`2%U95QI--cf{f`U1xMFTtnpr3fE3=`q;frjM?k$U$cYv7_%l zE^ZI36!Dx=izL-?8rI0(E^eoq#jgoHJlb`>%{09Qjn)anOdoL~Oi-5z=w-pb$G*LA^0hm4Q!e4V)`WIpUyc-?9Qp$MeydGs!RJ(20W-P%<}D5-ZCr#?Lvyh;aUhFGCV2-tYB z>V$?oYoA}f>(4vB_w}kB(rZT>CZBsI$r!c9{;F|#PPc7kMAgn^0*tSsCgsjz{_3*F z{m{u}tx7kA)wwwuLDPLi)x%8^xWI#^v1Q(x+81urm?e7reZ9fO=|+>E&!d8fsB=C_ zUf1f~DddlR@w^->N%5qNk9Gp5;OanVD-I$w6$26Kih>ALML>k|!XU!Xs9oM4xML3a zbf4l!CKCfAjfL!uJ%wC<5^fBvyrsHvaGe17EU&wau;`b}zcWDiuioUqAywdoO3%NR1TgiQ9lNI z=o2Z=x1-F6zL}7wdrR`6>}n}<9igfSDOeFD8b)PDuNg`T0usS+YcD-KNqfbwY&3@6 z1yXDy_<98Dqc_uChW%=A*c=_K=H|dT39QKCB6@tqU=_|>ABKzg(ltn<^S4Hs`PTih z{B{k|W_nrF;u**_xrVc-?_Hx2^T~%o9Kcpl`ay<;{Rn2OnsqzksK&mn^+ig}eRIqd z$o?H$k&UGCp+`D-@?EinX2j_vcI2=&0dZ_Qw*a}njoTK}wFFE281!*kVP+~$c-u^U z66at&2pebTlS>;|T~M(13)~H*GSJlDmQe)Gmup0Wf~Ie<(Prl+$VOw!=E_l-+(tK$ z(%gix7e3A4=FWXAk$Hp|7%w=)n-ndOOEC_j8qv1W^jVW;AN)ZQe-&oZGcV2b^{k|$ zBb(UE;BX4wiGU+^`up{{T#q>6WCdyEX@}SAlkKI1)IuY3KOFW66Vd+iaoDFV8oh`3 z!jF3`FXgjBqpmZ)U&aLLAbyf6q#Ozf$xlut$D#xk?>wdpu~2?MLq1kL|3RFTfq}Ni zsF5808rp8(;ao9V2)2xDOmCjJg-d(R`~Oo{e!|!6*x+>pbo6&x6kIu zE!=6Zd3;hQdm{D7)w!-N^?xL<>uWWg!-IPiiH=N0Yh`&^ay%}IUpMY5lAPXbR&5Tc zmzto>IO`)*9(LnP&IhtH$8qKf7>-Z~=#S(H>h>hm2z>hBnDmo{ikzK|F+v*QRbE_o zPcdgTs}fZITF#7LWT#va6oGG*JOYI#G^f6@JCN@YLubdLtN6!g&!7LJb^7&@0$tb{ zIW}ZUm2s{ZCk(l?3u7j%4-?{p(QKV&ur!h~OBHc47xwd9IqV>NqOQX-F*3le z%e}^JG-)w0vFVcte=)af?TZ0wYvib9UeGdVbzPX-8@Re))G^R=qYTTprS(eLywP{7 z9{a9(wsEq4ES-zx&dG{?a^dE>?UJ}0CV+>F@blJIKmW>tp>_gAP4=x5b&r(ZleMM5 zyC0t~O{S=uK#ks^^`S@7-SHiamKs#NC}N-nKq<#4$H|SsuET(l_I9EE(RLxybt1u( zS@r2dGAjqa>16#qc=;_GKm*y|bV3*BbY&qm%Mf}98Anh}& z$FD)Or+{ODUw&DyNCs^)i^lMR2iim#^~6M3QiK4Dd=eN4xv~L`WTuQ8%|RdWlZ`(A z1{X`|U;Pk-a)|Knw_Rz2`Fqaawy(nk#7VfEib5MF=1MlYTn ziHP>wt;5Bn%Ok}xpSb_%N{Yt6Bf#q4ia^}*hCl>?ftbG!?T-ijHXgG79O7|b4;nD= zoHwt>jU-PrELxH5#lOe)FUW6AJgfjuynl~Amqn;dCZQ61WOh@RInI9_tk+VCf7O0V z>x$vbN~qE}Jcj?o*b|t5BC_Wn4F6>n7Y;34UD7jb$w8xisG(6jo7u~!^~krUNQ&gP zKxVEE^*W8tkK}bE?4I)Ld!-IMgs`^W4p}?kCzU;eweR2v*qL>MwQMVIjkSc_A_~-H zo>9(EW>IGyQ!Qw(Tbt}6Y+-wdPY6;8K34nR_iq8$74_lvlBeFm-0!=AeCbFp3yl2j zH>ocRsAfxvqjK1S!gi^VR3_wb>GRV4re{LCUmXH-uw3#U@`Jd0rH}2Dd7v1$DBYxx zS)Y`|5*lYwcWAf>ach*spj9oOyBFoo;_&q!3W8|uO2~%aTk<9v6a>MR&&K#AdTa+A zeZ7%ER$PVPvS#faf)nx4tAEEy{vD)1mG=h-AH6Lf4%ZhVOUp9kAbu%R!a^!isR=Dg zD}W2y0mG33m4}xH`fX_eu->d;mefsEMxjg-q}?!!IVOi&nwie34CH|-D8lf^nU54@ zI0D{EMV2MCfSG%c7;M2 zLRHPTuTT16I23P*^5-Ok@4M5@FT|v%7wRdCed09z3R)}R+O>iyt->KT4N z(r};0rnkE@znJNr@zi%MaXV%|?q(8^bwQ{K-Z9-*&=10_uE@hZAC=@A!Ul^0VC>iI22w^vPP zLXSN%R@N<@BXn23i^0#30P|mr6BINPgkAdQV)x&}tiPQ8q4Zrr=I;XjUYh$CEFd0| zw)jh-?ytbV*DU@OSO-a?|8EtHze@VGj_prb`;dzM|EOyF75;1H{!chJ>i@uh&Ex+n z;@2$ApCTf$|A?0ULgM`j|CQnW6CMMpCiwjY{>JzIivN{3{1fj^_&@kxXvAM7{GBlS z6Au9N5&;0e(r3S-|IT3i6>U%Y7xW)|#;@>Sqsu=9U{L%qd;g9#6=YsO)Z@1@@K=Ct M2xD@{{9Eh)0g%hw!~g&Q literal 0 HcmV?d00001