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The SAS market is segmented by type, application, and industry. The type segment includes cloud-based SAS and on-premise SAS. The application segment includes government departments, large state-owned enterprises, large private enterprises, and other applications. The industry segment includes a wide range of industries, such as manufacturing, transportation, and healthcare.
Annual Report of the SAS Trustee Corporation 2013-14 (contains separate reports of controlled entities).
Annual Report of the SAS Trustee Corporation 2012-13 (contains separate reports of controlled entities)
https://financialreports.eu/https://financialreports.eu/
Comprehensive collection of financial reports and documents for SAS (SAS)
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The HD-mini SAS cable market is projected to reach a value of USD XXX million by 2033, expanding at a CAGR of XX% over the forecast period (2025-2033). The growth of the market is attributed to the increasing demand for high-performance computing and data storage solutions across various industries. The miniaturization and high-speed data transmission capabilities of HD-mini SAS cables make them an ideal choice for applications such as cloud computing, data centers, and artificial intelligence (AI). Key trends driving the market include the adoption of NVMe storage technologies, the proliferation of edge computing devices, and the growing popularity of hyperscale data centers. NVMe storage offers significantly faster data transfer speeds compared to traditional SATA storage, which is driving the demand for high-speed interconnects like HD-mini SAS cables. Edge computing devices require reliable and low-latency connectivity, which is met by HD-mini SAS cables. Hyperscale data centers are massive facilities that store and process vast amounts of data, and HD-mini SAS cables provide the necessary scalability and performance to support these operations.
The 2015-16 Annual Report of the SAS Trustee Corporation contains both financial and non-financial information on their operational activities undertaken during the 2015-2016 period.
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Report of Situation Awareness System (SAS) is covering the summarized study of several factors encouraging the growth of the market such as market size, market type, major regions and end user applications. By using the report customer can recognize the several drivers that impact and govern the market. The report is describing the several types of Situation Awareness System (SAS) Industry. Factors that are playing the major role for growth of specific type of product category and factors that are motivating the status of the market.
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The Spectrum Access System (SAS) service market is projected to reach a value of XXX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). The demand for SAS services is primarily driven by the proliferation of 4G and 5G networks, coupled with the increasing adoption of private networks in enterprise settings. These technologies require efficient and flexible spectrum management, which SAS effectively provides. Additionally, the growing need for seamless connectivity and enhanced network performance is contributing to the market's growth. Key market trends include the increasing deployment of 5G networks, the adoption of cloud-native SAS solutions, and the integration of artificial intelligence (AI) and machine learning (ML) for optimizing spectrum utilization. Moreover, the emergence of private networks and the need for spectrum sharing are further driving market expansion. The major players in the market include Google, Federated Wireless, Amdocs, Sony, Fairspectrum, Ericsson, Tecore, among others. North America and Europe are expected to dominate the market, followed by Asia Pacific and the Middle East & Africa.
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Global SAS Hard Disk Drives comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2024 - 2032. The report may be the best of what is a geographic area which expands the competitive landscape and industry perspective of the market.
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The SAS (Serial Attached SCSI) switch market, while experiencing a period of transition due to the rise of NVMe-over-Fabrics technologies, still holds significant value and is projected for steady growth. The market, estimated at $2.5 billion in 2025, is driven by the continued demand for high-performance storage solutions in data centers, particularly in sectors like cloud computing, high-performance computing (HPC), and big data analytics. Key drivers include the increasing need for higher bandwidth and lower latency in data storage networks, supporting ever-growing data volumes and demanding applications. Leading vendors like Inspur, Huawei, and IBM are actively involved in developing and delivering advanced SAS switch solutions, incorporating features like enhanced scalability, power efficiency, and improved management capabilities. However, the market faces constraints, primarily the gradual adoption of NVMe/TCP and NVMe-oF, which are emerging as compelling alternatives offering superior performance and scalability. This competitive pressure will likely influence the future growth trajectory of the SAS switch market. Despite the emergence of competing technologies, the SAS switch market will continue to maintain relevance for the foreseeable future. The substantial installed base of SAS-based storage infrastructure ensures continued demand for upgrade and replacement cycles. Furthermore, the cost-effectiveness of SAS technology, compared to newer alternatives, especially for certain applications and deployment scenarios, will continue to support market growth. Segmentation within the market, based on factors like port density, switch architecture, and application type, offers opportunities for specialized vendors to cater to niche demands. Geographic expansion, particularly in developing regions with growing data center infrastructure investments, represents another area of potential market expansion. The forecast period of 2025-2033 suggests a moderate but consistent growth rate, influenced by a balance of sustained demand and competitive pressure. A CAGR of 5% is a reasonable estimate given these market dynamics, resulting in a market size projected to exceed $3.5 billion by 2033.
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Description of the experiment setting: location, influential climatic conditions, controlled conditions (e.g. temperature, light cycle) In 1986, the Congress enacted Public Laws 99-500 and 99-591, requiring a biennial report on the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). In response to these requirements, FNS developed a prototype system that allowed for the routine acquisition of information on WIC participants from WIC State Agencies. Since 1992, State Agencies have provided electronic copies of these data to FNS on a biennial basis. FNS and the National WIC Association (formerly National Association of WIC Directors) agreed on a set of data elements for the transfer of information. In addition, FNS established a minimum standard dataset for reporting participation data. For each biennial reporting cycle, each State Agency is required to submit a participant-level dataset containing standardized information on persons enrolled at local agencies for the reference month of April. The 2016 Participant and Program Characteristics (PC2016) is the thirteenth data submission to be completed using the WIC PC reporting system. In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Processing methods and equipment used Specifications on formats (“Guidance for States Providing Participant Data”) were provided to all State agencies in January 2016. This guide specified 20 minimum dataset (MDS) elements and 11 supplemental dataset (SDS) elements to be reported on each WIC participant. Each State Agency was required to submit all 20 MDS items and any SDS items collected by the State agency. Study date(s) and duration The information for each participant was from the participants’ most current WIC certification as of April 2016. Due to management information constraints, Connecticut provided data for a month other than April 2016, specifically August 16 – September 15, 2016. Study spatial scale (size of replicates and spatial scale of study area) In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Level of true replication Unknown Sampling precision (within-replicate sampling or pseudoreplication) State Agency Data Submissions. PC2016 is a participant dataset consisting of 8,815,472 active records. The records, submitted to USDA by the State Agencies, comprise a census of all WIC enrollees, so there is no sampling involved in the collection of this data. PII Analytic Datasets. State agency files were combined to create a national census participant file of approximately 8.8 million records. The census dataset contains potentially personally identifiable information (PII) and is therefore not made available to the public. National Sample Dataset. The public use SAS analytic dataset made available to the public has been constructed from a nationally representative sample drawn from the census of WIC participants, selected by participant category. The nationally representative sample is composed of 60,003 records. The distribution by category is 5,449 pregnant women, 4,661 breastfeeding women, 3,904 postpartum women, 13,999 infants, and 31,990 children. Level of subsampling (number and repeat or within-replicate sampling) The proportionate (or self-weighting) sample was drawn by WIC participant category: pregnant women, breastfeeding women, postpartum women, infants, and children. In this type of sample design, each WIC participant has the same probability of selection across all strata. Sampling weights are not needed when the data are analyzed. In a proportionate stratified sample, the largest stratum accounts for the highest percentage of the analytic sample. Study design (before–after, control–impacts, time series, before–after-control–impacts) None – Non-experimental Description of any data manipulation, modeling, or statistical analysis undertaken Each entry in the dataset contains all MDS and SDS information submitted by the State agency on the sampled WIC participant. In addition, the file contains constructed variables used for analytic purposes. To protect individual privacy, the public use file does not include State agency, local agency, or case identification numbers. Description of any gaps in the data or other limiting factors Due to management information constraints, Connecticut provided data for a month other than April 2016, specifically August 16 – September 15, 2016. Outcome measurement methods and equipment used None Resources in this dataset:Resource Title: WIC Participant and Program Characteristics 2016. File Name: wicpc_2016_public.csvResource Description: The 2016 Participant and Program Characteristics (PC2016) is the thirteenth data submission to be completed using the WIC PC reporting system. In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations.Resource Software Recommended: SAS, version 9.4,url: https://www.sas.com/en_us/software/sas9.html Resource Title: WIC Participant and Program Characteristics 2016 Codebook. File Name: WICPC2016_PUBLIC_CODEBOOK.xlsxResource Software Recommended: SAS, version 9.4,url: https://www.sas.com/en_us/software/sas9.html Resource Title: WIC Participant and Program Characteristics 2016 - Zip File with SAS, SPSS and STATA data. File Name: WIC_PC_2016_SAS_SPSS_STATA_Files.zipResource Description: WIC Participant and Program Characteristics 2016 - Zip File with SAS, SPSS and STATA data
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The global Mini SAS connector market is estimated to reach USD 3.0 billion by 2033, growing at a CAGR of 6.9% during the forecast period (2025-2033). This growth is attributed to the increasing adoption of high-speed networking and data storage solutions in various industries, including IT and telecommunications, data centers, and cloud computing. The mini SAS connectors offer high data transfer rates, compact size, and reliable performance, making them suitable for applications requiring high bandwidth and space optimization. The market for mini SAS connectors is segmented based on application and type. In terms of application, the market is divided into data center, enterprise storage, and high-performance computing (HPC). Enterprise storage holds the largest market share due to the growing need for data storage capacity and performance in various industries. Based on type, the market is classified into external mini SAS and internal mini SAS connectors. External mini SAS connectors are used for connecting external storage devices, while internal mini SAS connectors are used for connecting internal storage devices within a server or workstation. North America and Europe are the major regional markets for mini SAS connectors, followed by Asia Pacific and the rest of the world. The growing adoption of cloud computing and the increasing demand for data storage in these regions are driving the market growth. Mini SAS Connectors Market Report
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The Situation Awareness System (SAS) market, valued at $23.1 billion in 2025, is projected to experience robust growth, driven by increasing demand for enhanced security and operational efficiency across various sectors. A compound annual growth rate (CAGR) of 4.6% from 2025 to 2033 indicates a steady expansion, reaching an estimated market size exceeding $35 billion by 2033. This growth is fueled by several key factors. The rising adoption of cloud-based solutions offers scalable and cost-effective SAS deployments, attracting businesses of all sizes. Furthermore, the increasing prevalence of cyber threats and the need for proactive risk management are major catalysts for SAS adoption. Government regulations mandating improved security and surveillance in critical infrastructure further contribute to market expansion. The market is segmented by deployment (cloud, on-premise), application (security, transportation, healthcare), and end-user (government, commercial). Competition is intense, with established players like Microsoft and SAS Institute vying for market share alongside specialized providers like Qognify and Verint. However, the emergence of agile cloud-based solutions from companies such as Tencent Cloud and Huawei Cloud is disrupting the traditional landscape and offering alternative, competitive solutions. The competitive landscape is dynamic, characterized by both established players and emerging technology providers. While legacy companies offer comprehensive solutions with established customer bases, newer entrants bring innovative, cost-effective cloud-based solutions that are particularly attractive to smaller businesses and those seeking rapid deployment. Geographic expansion, particularly in developing economies with growing infrastructure needs, presents significant opportunities for market expansion. However, challenges remain, including the integration complexities of SAS into existing IT infrastructures and the need for skilled personnel to operate and manage these systems effectively. Addressing data privacy concerns and ensuring regulatory compliance will also be crucial for sustained market growth. The market will likely see continued consolidation, with larger players potentially acquiring smaller firms to expand their product portfolios and market reach.
State Super (SAS Trustee Corporation) Annual Report to Parliament 2019-20
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The global SAS SSD market is projected to exhibit significant growth over the forecast period, owing to the increasing adoption of SAS SSDs in data centers and enterprise applications. The rising demand for high-performance computing and data storage solutions is driving the growth of the SAS SSD market. Additionally, the growing popularity of cloud computing and virtualization is also contributing to the market's expansion. The market is expected to witness the entry of new vendors and the emergence of innovative technologies in the coming years. Key market players include Kingston Technology, Micron, Seagate, Samsung, Toshiba, Dell, and Western Digital. The market is highly competitive, with these companies vying for market share through product innovation and strategic partnerships. The market is expected to witness consolidation over the forecast period, with larger players acquiring smaller vendors to expand their product portfolio and geographic reach. The market is also expected to be impacted by the increasing adoption of NVMe SSDs, which offer higher performance and lower latency than SAS SSDs. However, the higher cost of NVMe SSDs is expected to limit their adoption in budget-sensitive applications.
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Global Situation Awareness Systems SAS market size 2025 was XX Million. Situation Awareness Systems SAS Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
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analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D
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Global Serial Attached Storage SAS Solid state Drive SSD market size 2025 was XX Million. Serial Attached Storage SAS Solid state Drive SSD Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
SAS Trustee Corporation 2014-15 Annual Report to Parliament
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The SAS market is segmented by type, application, and industry. The type segment includes cloud-based SAS and on-premise SAS. The application segment includes government departments, large state-owned enterprises, large private enterprises, and other applications. The industry segment includes a wide range of industries, such as manufacturing, transportation, and healthcare.