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Top Main Technologies That Enable Big Data Analytics (Pt. 3)

In the previous articles, we have discussed how big data can help SMEs and some of its use cases. This article is the top main technologies that enable big data analytics for SMEs.

Rather than depending on trial and error, companies have begun to use an optimized technique for the optimal distribution of resources to sculpt the path of a company’s growth. Incorporating big data analysis techniques has proven to be the most effective approach to implementation. Large organizations’ business data is just too complicated to be processed by traditional data processing systems over long periods of time. There are better techniques to extract relevant information that can aid in appropriate decision-making and reveal patterns in data that appears to be random. These methods are at the heart of big data analytics.

Big data analytics technology is made up of a variety of methodologies and processing methods. What makes them useful is how businesses employ them collectively to achieve relevant results for strategy management and implementation. Here’s a quick rundown of the big data technologies adopted by small and medium business as well as big companies.

Predictive analytics

Predictive analytics is one of the most important tools for businesses to prevent risks in decision-makeing. By processing large dataset, predictive analytics hardware and software solutions can be used to uncover, evaluate and apply predicted scenarios.

NoSQL Databases

These NoSQL Databases are used to manage data across a large number of storage nodes in a reliable and efficient manner. Data is stored in NoSQL databases as relational database tables, JSON docs, or key-value pairs.

Stream analytics

Data that an organization must process may be kept in a variety of formats and on numerous platforms. Filtering, compilation, and analysis of such vast data are all made easier by stream analytics software. External data sources can also be connected to and integrated into the application flow using stream analytics.

Data virtualization

It enables applications to get data without enforcing technical constraints such as data formats, data location, and so on. Data virtualization is a big data technology that is utilized by Apache Hadoop and other distributed data stores allowing real-time or near real-time access to data stored on diverse platforms.
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QUESTION 724 A company is building a new furniture inventory application. The company has deployed the application on a fleet of Amazon EC2 instances across multiple Availability Zones. The EC2 instances run behind an Application Load Balancer (ALB) in their VPC. A solutions architect has observed that incoming traffic seems to favor one EC2 instance resulting in latency for some requests. What should the solutions architect do to resolve this issue? A.Disable session affinity (sticky sessions) on the ALB B.Replace the ALB with a Network Load Balancer C.increase the number of EC2 instances in each Availability Zone D.Adjust the frequency of the health checks on the ALB's target group Answer: B QUESTION 725 A startup company is using me AWS Cloud to develop a traffic control monitoring system for a large city. The system must be highly available and must provide near-real-time results for residents and city officials even during peak events. Gigabytes of data will come in daily from loT devices that run at intersections and freeway ramps across the city. The system must process the data sequentially to provide the correct timeline. However results need to show only what has happened in the last 24 hours. Which solution will meet these requirements MOST cost-effectively? A.Deploy Amazon Kinesis Data Firehose to accept incoming data from the loT devices and write the data to Amazon S3 Build a web dashboard to display the data from the last 24 hours B.Deploy an Amazon API Gateway API endpoint and an AWS Lambda function to process incoming data from the loT devices and store the data in Amazon DynamoDB Build a web dashboard to display the data from the last 24 hours C.Deploy an Amazon API Gateway API endpoint and an Amazon Simple Notification Service (Amazon SNS) tope to process incoming data from the loT devices Write the data to Amazon Redshift Build a web dashboard to display the data from the last 24 hours D.Deploy an Amazon Simple Queue Service (Amazon SOS) FIFO queue and an AWS Lambda function to process incoming data from the loT devices and store the data in an Amazon RDS DB instance Build a web dashboard to display the data from the last 24 hours Answer: D QUESTION 726 A company has designed an application where users provide small sets of textual data by calling a public API. The application runs on AWS and includes a public Amazon API Gateway API that forwards requests to an AWS Lambda function for processing. The Lambda function then writes the data to an Amazon Aurora Serverless database for consumption. The company is concerned that it could lose some user data it a Lambda function fails to process the request property or reaches a concurrency limit. What should a solutions architect recommend to resolve this concern? A.Split the existing Lambda function into two Lambda functions Configure one function to receive API Gateway requests and put relevant items into Amazon Simple Queue Service (Amazon SQS) Configure the other function to read items from Amazon SQS and save the data into Aurora B.Configure the Lambda function to receive API Gateway requests and write relevant items to Amazon ElastiCache Configure ElastiCache to save the data into Aurora C.Increase the memory for the Lambda function Configure Aurora to use the Multi-AZ feature D.Split the existing Lambda function into two Lambda functions Configure one function to receive API Gateway requests and put relevant items into Amazon Simple Notification Service (Amazon SNS) Configure the other function to read items from Amazon SNS and save the data into Aurora Answer: A QUESTION 727 A developer has a script lo generate daily reports that users previously ran manually. The script consistently completes in under 10 minutes. The developer needs to automate this process in a cost-effective manner. Which combination of services should the developer use? (Select TWO.) A.AWS Lambda B.AWS CloudTrail C.Cron on an Amazon EC2 instance D.Amazon EC2 On-Demand Instance with user data E.Amazon EventBridge (Amazon CloudWatch Events) Answer: CE QUESTION 728 A solution architect is creating a new Amazon CloudFront distribution for an application. Some of Ine information submitted by users is sensitive. The application uses HTTPS but needs another layer" of security. The sensitive information should be protected throughout the entire application stack end access to the information should be restricted to certain applications. Which action should the solutions architect take? A.Configure a CloudFront signed URL B.Configure a CloudFront signed cookie. C.Configure a CloudFront field-level encryption profile D.Configure CloudFront and set the Origin Protocol Policy setting to HTTPS Only for the Viewer Protocol Policy Answer: C QUESTION 729 A company has an Amazon S3 bucket that contains confidential information in its production AWS account. The company has turned on AWS CloudTrail for the account. The account sends a copy of its logs to Amazon CloudWatch Logs. The company has configured the S3 bucket to log read and write data events. A company auditor discovers that some objects in the S3 bucket have been deleted. A solutions architect must provide the auditor with information about who deleted the objects. What should the solutions architect do to provide this information? A.Create a CloudWatch Logs fitter to extract the S3 write API calls against the S3 bucket B.Query the CloudTrail togs with Amazon Athena to identify the S3 write API calls against the S3 bucket C.Use AWS Trusted Advisor to perform security checks for S3 write API calls that deleted the content D.Use AWS Config to track configuration changes on the S3 bucket Use these details to track the S3 write API calls that deleted the content Answer: B QUESTION 730 A company has three AWS accounts Management Development and Production. These accounts use AWS services only in the us-east-1 Region. All accounts have a VPC with VPC Flow Logs configured to publish data to an Amazon S3 bucket in each separate account. For compliance reasons the company needs an ongoing method to aggregate all the VPC flow logs across all accounts into one destination S3 bucket in the Management account. What should a solutions architect do to meet these requirements with the LEAST operational overhead? A.Add S3 Same-Region Replication rules in each S3 bucket that stores VPC flow logs to replicate objects to the destination S3 bucket Configure the destination S3 bucket to allow objects to be received from the S3 buckets in other accounts B.Set up an IAM user in the Management account Grant permissions to the IAM user to access the S3 buckets that contain the VPC flow logs Run the aws s3 sync command in the AWS CLl to copy the objects to the destination S3 bucket C.Use an S3 inventory report to specify which objects in the S3 buckets to copy Perform an S3 batch operation to copy the objects into the destination S3 bucket in the Management account with a single request. D.Create an AWS Lambda function in the Management account Grant S3 GET permissions on the source S3 buckets Grant S3 PUT permissions on the destination S3 bucket Configure the function to invoke when objects are loaded in the source S3 buckets Answer: A QUESTION 731 A company is running a multi-tier web application on AWS. The application runs its database on Amazon Aurora MySQL. The application and database tiers are in the us-easily Region. A database administrator who monitors the Aurora DB cluster finds that an intermittent increase in read traffic is creating high CPU utilization on the read replica. The result is increased read latency for the application. The memory and disk utilization of the DB instance are stable throughout the event of increased latency. What should a solutions architect do to improve the read scalability? A.Reboot the DB cluster B.Create a cross-Region read replica C.Configure Aurora Auto Scaling for the read replica D.Increase the provisioned read IOPS for the DB instance Answer: B QUESTION 732 A developer is creating an AWS Lambda function to perform dynamic updates to a database when an item is added to an Amazon Simple Queue Service (Amazon SOS) queue. A solutions architect must recommend a solution that tracks any usage of database credentials in AWS CloudTrail. The solution also must provide auditing capabilities. Which solution will meet these requirements? A.Store the encrypted credentials in a Lambda environment variable B.Create an Amazon DynamoDB table to store the credentials Encrypt the table C.Store the credentials as a secure string in AWS Systems Manager Parameter Store D.Use an AWS Key Management Service (AWS KMS) key store to store the credentials Answer: D QUESTION 733 A company has a service that reads and writes large amounts of data from an Amazon S3 bucket in the same AWS Region. The service is deployed on Amazon EC2 instances within the private subnet of a VPC. The service communicates with Amazon S3 over a NAT gateway in the public subnet. However, the company wants a solution that will reduce the data output costs. Which solution will meet these requirements MOST cost-effectively? A.Provision a dedicated EC2 NAT instance in the public subnet. Configure the route table for the private subnet to use the elastic network interface of this instance as the destination for all S3 traffic B.Provision a dedicated EC2 NAT instance in the private subnet. Configure the route table for the public subnet to use the elastic network interface of this instance as the destination for all S3 traffic. C.Provision a VPC gateway endpoint. Configure the route table for the private subnet to use the gateway endpoint as the route for all S3 traffic. D.Provision a second NAT gateway. Configure the route table foe the private subnet to use this NAT gateway as the destination for all S3 traffic. Answer: C QUESTION 734 A company has an application that uses an Amazon OynamoDB table lew storage. A solutions architect discovers that many requests to the table are not returning the latest data. The company's users have not reported any other issues with database performance Latency is in an acceptable range. Which design change should the solutions architect recommend? A.Add read replicas to the table. B.Use a global secondary index (GSI). C.Request strongly consistent reads for the table D.Request eventually consistent reads for the table. Answer: C QUESTION 735 A company wants lo share data that is collected from sell-driving cars with the automobile community. The data will be made available from within an Amazon S3 bucket. The company wants to minimize its cost of making this data available to other AWS accounts. What should a solutions architect do to accomplish this goal? A.Create an S3 VPC endpoint for the bucket. B.Configure the S3 bucket to be a Requester Pays bucket. C.Create an Amazon CloudFront distribution in front of the S3 bucket. D.Require that the fries be accessible only with the use of the BitTorrent protocol. Answer: A QUESTION 736 A company recently announced the deployment of its retail website to a global audience. The website runs on multiple Amazon EC2 instances behind an Elastic Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company wants to provide its customers with different versions of content based on the devices that the customers use to access the website. Which combination of actions should a solutions architect take to meet these requirements7 (Select TWO.) A.Configure Amazon CloudFront to cache multiple versions of the content. B.Configure a host header in a Network Load Balancer to forward traffic to different instances. C.Configure a Lambda@Edge function to send specific objects to users based on the User-Agent header. D.Configure AWS Global Accelerator. Forward requests to a Network Load Balancer (NLB). Configure the NLB to set up host-based routing to different EC2 instances. E.Configure AWS Global Accelerator. Forward requests to a Network Load Balancer (NLB). 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Process all database modifications through Kinesis Data Streams. Answer: C QUESTION 739 A company has a production web application in which users upload documents through a web interlace or a mobile app. According to a new regulatory requirement, new documents cannot be modified or deleted after they are stored. What should a solutions architect do to meet this requirement? A.Store the uploaded documents in an Amazon S3 bucket with S3 Versioning and S3 Object Lock enabled B.Store the uploaded documents in an Amazon S3 bucket. Configure an S3 Lifecycle policy to archive the documents periodically. C.Store the uploaded documents in an Amazon S3 bucket with S3 Versioning enabled Configure an ACL to restrict all access to read-only. D.Store the uploaded documents on an Amazon Elastic File System (Amazon EFS) volume. Access the data by mounting the volume in read-only mode. Answer: A QUESTION 740 A company has a Microsoft NET application that runs on an on-premises Windows Server. The application stores data by using an Oracle Database Standard Edition server. The company is planning a migration to AWS and wants to minimize development changes while moving the application. The AWS application environment should be highly available. Which combination of actions should the company take to meet these requirements? (Select TWO.) A.Refactor the application as serverless with AWS Lambda functions running NET Core. B.Rehost the application in AWS Elastic Beanstalk with the .NET platform in a Multi-AZ deployment. C.Replatform the application to run on Amazon EC2 with the Amazon Linus Amazon Machine Image (AMI). D.Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Amazon DynamoDB in a Multi-AZ deployment. E.Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment. 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Assign the IAM users to a group based on their Job role. Answer: D QUESTION 742 A company provides machine learning solutions .The company's users need to download large data sets from the company's Amazon S3 bucket. These downloads often take a long lime, especially when the users are running many simulations on a subset of those datasets. Users download the datasets to Amazon EC2 instances in the same AWS Region as the S3 bucket. Multiple users typically use the same datasets at the same time. Which solution will reduce the lime that is required to access the datasets? A.Configure the S3 bucket lo use the S3 Standard storage class with S3 Transfer Acceleration activated. B.Configure the S3 bucket to use the S3 Intelligent-Tiering storage class with S3 Transfer Acceleration activated. C.Create an Amazon Elastic File System (Amazon EFS) network Tile system. Migrate the datasets by using AWS DataSync. 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What are the features of On Demand Video interviewing Software?
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Tissue Diagnostics Market Size-Share, Business Growth, Demand Analysis
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You must also ensure that uses cannot connect to data sources unless you grant the user explicit permissions to access a data source. You need to recommend solutions to meet the company's security requirements. Which two types of policies should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A.Office cloud policies B.Group Policy Objects C.environment-level policies D.tenant-level policies E.preset security policies Answer: CD QUESTION 185 You create a Power Virtual Agents chatbot. You need to share the bot with other team members so that they can try out the bot before you share the bot with customers. What should you use? A.demo website B.live production website C.test chat feature Answer: C QUESTION 186 You create a Power Bl dashboard that displays Common Data Model data. You need to share the Power Bl dashboard with coworkers and allow the coworkers to collaborate. What are two possible ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A.Create a Power Automate flow to export the data into a SQL Server database. B.Publish the dashboard as an app to your coworkers. C.Export the data to Microsoft Excel. Make required changes and then re-import the data. D.Create a Power Bl workspace and grant coworkers permissions. Answer: AB QUESTION 187 You are a district manager for a large retail organization. You train each store manager to use Power BI to track sales and daily sales targets. A store manager remembers learning about the Analyze in Excel option but cannot find the option in their Power BI dashboard. You need to help the user resolve the issue. How should you advise the user? A.Install the Power Bl Desktop app. B.Navigate to the report used by the dashboard. C.Select the Spotlight button on the dashboard tile. D.Subscribe to the dashboard and follow the email link. Answer: B QUESTION 188 You are creating visuals in Power BI. You create area charts, pie charts, and donut charts that use your company's data. You need to display the charts to others at the company. Which two objects can you add the charts to? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A.Power Bl service B.Power Bl reports C.Power Bl desktop D.Power Bl dashboards Answer: BD QUESTION 189 You create a Power App portal. When a user signs into the portal the following error displays: user not found You confirm that the user's sign in information is correct. You need to determine the cause of the error. What should you do? A.Disable custom error messages. B.Create a custom error message. C.Enable diagnostic tools in Lifecycle Services. D.Enable Maintenance mode. Answer: C QUESTION 190 You create a canvas app that allows contractors to submit time they work against a project. Contractors must be able to use the canvas app to enter time. Contractors must not be able to perform any other actions in the app. You need to configure permissions for the contractors. Which type of permissions should you use? A.application-level B.task-level C.record-level D.field-level Answer: D QUESTION 191 Hotspot Question You have version 1.0.0.0 of a published Power Apps app. You create and publish version 2.0.0.0 of the app. A customer goes through the process of restoring the previous version of the app. How many versions of the app are displayed in the Version tab for the app? To answer, select the appropriate option in the answer area. Answer: QUESTION 192 Drag and Drop Question A company has locations in multiple regions. The company develops solutions based on Power Apps and Power Automate. You need to recommend features to support the implementation. Which Power Platform features should you recommend? To answer, drag the appropriate features to the correct requirements. 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How Machine Learning Is Changing IT Monitoring In 2020
The IT infrastructure has become remarkably complex; it becomes crucial for IT leaders to create new monitoring processes relevant to their organizations. IT monitoring covers a wide range of products allowing analysts to determine if the IT team performs at the expected level of service and manage any problems detected. This can be done by basic testing or using advanced tools like machine learning (ML). As the speed of change in the industry increases, IT operations are required to help the business stay afloat to fill experience gaps and allow customers to focus on their business. The challenge that the IT monitoring team facing is the tendency to use legacy systems that need to be actively running. This puts the IT monitoring team at a significant disadvantage and leaves them scrutinizing unnecessary noise and missing information packets. What if the performance of these systems is optimized? Artificial intelligence (AI) and machine learning (ML) continue to play a vital role in taking the pressure off internal processes. The road to leverage AI and ML are partly driven by the need to implement data first when building core systems, partly because of the cross-industry leap to cloud. In such crises as COVID19, companies are trying to capitalize on the power of AI-powered tools, and more organizations are creating pathways that reflect the need for strategic change. Machine learning in IT monitoring # 1 | Adjusted alerts Sharpening the known pain point in traditional anomaly detection systems, using a combination of supervised and unsupervised machine learning algorithms, we can reduce the signal-to-noise ratio of alarms as well as correlate those alerts across multiple toolkits in real-time. Additionally, algorithms can capture corrective behavior to suggest remedial steps when a problem occurs in the future. # 2 | Comparing the indicators We can determine correlations between metrics sent from different data sources in our infrastructure and applications through advanced anomaly detection systems based on machine learning algorithms. Additionally, some ML platforms provide one-time cost optimization reports that can compare instance usage to AWS spend. # 3 | Business Intelligence Different anomalies can be detected within massive amounts of data to turn them into valuable business insights via real-time analytics and automated irregular detection systems. Machine learning logic can be applied to metrics obtained from various sources to perform automated anomaly detection before processing the data to mark anomalies that can be scored to be used for identifying how much irregularity the event is. # 4 | Natural language processing Machine learning helps define millions of events into a single manageable set of insights using topology, semantic, natural language processing, and clustering algorithms. Similar to the previous solutions, using these algorithms helps reduce the triggered events and alerts, which allow more efficient use of resources and faster problem resolution. # 5 | Cognitive perception There is an alternative use of machine learning for IT monitoring to combine ML with crowdsourcing to filter out massive log data to identify events. This helps focus on how humans interact with the data rather than focus solely on mathematical analysis. This approach is called perceptual insights, and it denotes important events that may occur, and that needs to be taken into account. Although the application of machine learning is not strictly straightforward, its potential is clear to transform IT monitoring. As IT infrastructure continues to grow, it is clear that many industries are turning to ML to find effective and budget-friendly solutions today and in the future. One side note Vietnam software outsourcing industry has recently become dynamic. When it comes to Vietnam Machine Learning engineers, they are well equipped with the necessary knowledge and skillsets.
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Hướng dẫn nâng cấp ram cho máy tính laptop hiệu quả
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Global Specialty PACS Market Trends, Demand, Future Opportunity Outlook
The incidence of various diseases, advantages associated with specialty PACS, government initiatives to increase the adoption of healthcare IT solutions, growing investments in medical imaging, rising adoption of medical imaging IT solutions, and increasing use of imaging equipment. On the other hand, budgetary constraints are expected to limit market growth during the forecast period. Based on the type, the specialty PACS market is segmented into radiology PACS, cardiology PACS, pathology PACS, ophthalmology PACS, orthopedics PACS, oncology PACS, dermatology PACS, neurology PACS, endoscopy PACS, women’s health PACS, and other specialty PACS. The radiology PACS segment accounted for the largest share of the market in 2018; however, the ophthalmology PACS segment is expected to register the highest CAGR of during the forecast period. The increasing prevalence of eye diseases and disorders, the growing number of ophthalmic surgeries performed, and technological advancements in ophthalmology devices are some of the factors driving the growth of this segment. The on-premise segment is expected to account for the largest share of the market. This can be attributed to the easily customizable nature of on-premise solutions, as compared to web/cloud-based specialty PACS. Get Data as per your Format and Definition | REQUEST FOR CUSTOMIZATION @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=66166054 Based on the end-user, the medical market is segmented into hospitals, ambulatory surgery centers (ASCs) clinics, diagnostic imaging centers, and other end-users. The rising patient population, growing awareness about the benefits of early disease diagnosis, technological advancements in imaging modalities, increasing digitization of patient data, and rapid growth in EMR adoption are some significant factors responsible for the large share and fastest growth. However, Asia Pacific is expected to grow at the highest CAGR during the forecast period. Factors such the increasing incidence of chronic diseases, rising awareness on the benefits of early disease diagnosis, and growing adoption of imaging modalities are some of the factors driving the growth of market in this region. Key Players in the Global Specialty PACS Market IBM Corporation (Merge Healthcare Incorporated) (US), McKesson Corporation (US), Agfa Healthcare (Belgium), Carestream Health (a part of Onex Corporation) (Canada), Philips Healthcare (Netherlands), Sectra AB (Sweden), Siemens Healthineers (Germany), Novarad (US), INFINITT North America (US), Intelerad Medical Systems (Canada), Topcon Corporation (Japan), Sonomed Escalon (US), Canon USA, Inc. (US) (a subsidiary of Canon Inc.), Visbion (UK), and EyePACS, LLC (US). The strategy of effectively utilizing RD activities and its global onshore-offshore engineering services has enabled the company to expand and accelerate the innovation of new products and enter new markets. The company regularly participates in relevant conferences, exhibitions, seminars, trade fairs, and other related events to strengthen and widen its brand recognition. The company also pursues the strategy of partnerships, collaborations, and acquisitions. Merge entered into a partnership with several medical providers and imaging technology companies in June 2016. This is a benchmark event for the company’s imaging technologies business. Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=66166054 Market Research Developments In April 2019, Sectra and Deventer Hospital (Netherlands) signed a contract to install Sectra’s PACS solutions across the radiology and nuclear medicine departments at the Deventer Hospital. In February 2019, Agfa HealthCare and Noordwest Ziekenhuisgroep (Netherlands) entered into a collaboration, to optimize patient care by implementing Agfa’s enterprise imaging solutions In February 2018, Change Healthcare signed a contract with the United States Defense Logistics Agency, to provide more than 3,000 installations of enterprise imaging solutions, including diagnostic imaging and workflow products, picture archiving and communication systems (PACS), radiology solutions, and cardiovascular imaging systems. #Specialty PACS Market #Specialty PACS #News #Health #Technology