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Amazons Aws
Organizations have been using data warehousing and business intelligence (DWBI) workloads to support business decisions for years. This workload is sent to the Amazon Web Services () platform to take advantage of the cloud. However, these workloads are created using tools and technologies from multiple vendors, and customers face an overall administrative burden.
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This post provides architectural guidelines for integrating multiple DWBI technologies into managed services to help reduce administrative costs, improve operational flexibility and business efficiency. Two scenarios are explored:
Organizations involved in managing multiple DWBI technologies due to acquisitions, mergers, workload growth and migration. These workloads use extract, transform, and load (ETL) tools to read relational data from upstream transactional databases, process it, and store it in a data warehouse. These workloads use business intelligence tools to generate valuable insights and present them to users in the form of reports and dashboards.
This DWBI technology is usually installed and maintained on its own server. Figure 1 shows increased administrative overhead for the organization, but also challenges in maintaining team-wide knowledge.
Each of these functions can be performed effectively using the service. For example, Lem can be used for ETL, Amazon Redshift for data warehouse, and Amazon QuickSight for business intelligence.
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By using these services, organizations can increase their use of DWBI technology. Organizations can also quickly adapt to these services because their engineering teams can more easily leverage the knowledge of DWBI and these services. For example, using SQL knowledge in glue tasks with SprakSQL, Amazon Redshift queries, and Amazon QuickSight dashboard.
Figure 2 shows the reworked architecture of Figure 1 using services. In this architecture, the ETL function is integrated in Lem. The Crawler Glue is used to automatically catalog the metadata of the source and target tables; then Lem ETL jobs use this directory to read data from the source and write to the target (data warehouse). Paste jobs apply the necessary transformations (such as concatenation, filtering, and concatenation) to the data before writing. In addition, glue triggers are used to schedule the execution of tasks. Alternatively, managed workflows for Apache Airflow can be used to schedule tasks.
Likewise, the data warehouse is integrated with Amazon Redshift. Amazon Redshift is used to store and manage rich data and provide appropriate data access control for workloads and users.
Finally, business intelligence functions are enhanced with Amazon QuickSight. It will take data from AmazonRedshift and create the required dashboards using advanced business logic to create the charts and graphs needed for business insights. It is also used to implement necessary access restrictions for dashboards and data.
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If the source database is in an on-premise data center, the solution is generally the same as Scenario 1 with the additional step of moving data seamlessly from the on-premise database to Amazon Simple. Warehouse service) bucket S3). Data migration can be efficiently handled by Database Migration Services (DMS).
In order for the source database to be available for DMS, a connection must be established between the cloud and the local network. Depending on performance and bandwidth, organizations can choose Direct Connect or Site-to-Site VPN to transfer data securely. For the purpose of this discussion, we will look at Direct Connect.
In Figure 3, the DMS task is used to perform a full load and then modify the data dump to continue moving the data to the S3 bucket. In this scenario, glue is used to catalog and read data from the S3 bucket. The rest of the data flow is the same as described in scenario 1.
The updated architecture also provides the necessary security through access control, encryption, monitoring and auditing of data at rest and in transit.
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Additionally, Amazon Redshift and Amazon QuickSight offer their own authentication and access control. Therefore, users can be local users or federated users. With these credentials, an organization can control access to data in Amazon Redshift, as well as access to dashboards in Amazon QuickSight.
In this blog post, we discuss how you can use Glue, Amazon Redshift, and Amazon QuickSight to power DWBI technology. We also discuss how the architecture can help organizations build scalable and secure workloads with automatic scaling, access control, log monitoring, and activity auditing. Attendees walk past the Amazon Web Services logo at Amazon.com Inc’s annual cloud computing conference in Las Vegas, Nevada, US, November 30, 2017. /Salvador Rodriguez/File photo
Sep 2 () – Amazon.com Inc ( AMZN.O ) is planning a more proactive approach to identifying and removing content on its cloud services that violates its policies, such as rules against promoting violence, according to two sources. , the move could renew the debate about how much power tech companies should limit free speech.
In the next few months, Amazon will expand the Trust & Safety team at Amazon Web Services (AWS) and hire a small team of people to develop experience and work with external researchers to monitor future threats, one of the sources familiar with the matter said. . said.
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That could make Amazon, the world’s largest provider of cloud services, with a 40 percent market share according to research firm Gartner, one of the most powerful arbiters of what content is allowed on the Internet, analysts said.
AWS does not plan to audit a large number of cloud-based content companies, but aims to protect against future threats, such as emerging extremist groups whose content could end up in the AWS cloud, the source added.
A day after the news broke, an AWS spokesperson said the news agency’s report was “wrong” and added that “AWS Trust & Security has no plans to change its policies or processes, and the team is always there.”
On August 27, the Washington Post reported that Amazon had shut down an AWS website that featured Islamic State propaganda celebrating Thursday’s suicide bombing in Kabul that killed nearly 170 Afghans and 13 American soldiers. They did so after the news organization contacted Amazon, the Post reported.
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Talk of a more proactive approach to content comes after Amazon pulled social media app Parler from its cloud service shortly after the Jan. 6 riots at the Capitol for allowing violent content. read more
Amazon did not immediately comment on the story before it was published Thursday. Following the announcement, an AWS spokesperson said later that night: “AWS Trust & Safety can protect our customers, partners, and Internet users from malicious behavior that attempts to exploit our services for abusive or illegal purposes. When AWS Trust & Safety becomes aware of abuse or illegal activities on AWS services, they act quickly and contact customers to take appropriate action.
A spokesperson said, “AWS Trust & Safety does not screen content posted by our customers. We look forward to growing this team as AWS continues to expand.
Activists and human rights groups are increasingly holding not only websites and apps responsible for harmful content, but also the underlying technological infrastructure that allows those sites to operate, and political conservatives see this as a restriction on free speech.
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According to its fair use policy, AWS has prohibited the use of its services in various ways, including illegal or fraudulent activities, incitement or intimidation of violence, or promotion of child sexual exploitation and abuse.
Amazon reviews submitted requests to the Trust & Safety team for accuracy before contacting customers to remove content that violates Amazon policies or set up a content moderation system. If Amazon can not reach a favorable agreement with the customer, it can terminate the site.
Amazon is focused on developing an approach to content issues it often faces with other cloud providers, such as determining whether misinformation on the company’s website has reached the scale to require AWS to take action, the source said.
A job posting on the Amazon Jobs site advertising the position of “Global Lead of AWS Trust & Security Policy,” last seen before this news broke on Thursday, is no longer available on Amazon as of Friday. .
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The announcement, still available on LinkedIn, describes the new role as “identifying policy gaps and proposing solutions at scale,” “developing a framework to assess risk and guide decisions” and “developing efficiencies.”
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