Dataanalytics

How I passed the AWS Certified Data Analytics —Specialty Exam (DAS-C01)

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. It makes it easy for all employees within an organization to build visualizations, perform ad hoc analysis, and quickly get business insights from their data, anytime, on any device.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, and you can start analyzing data immediately.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto.

AWS includes the components needed to enable pipelines for predictive analytics workflows. There are many viable architectural patterns to effectively compute predictive analytics. In this section, we discuss some of the technology options for building predictive analytics architecture on AWS.

Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, operate, and scale OpenSearch Service for log analytics, full text search, application monitoring, and more.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. ABC1Cabs is an online cab booking services company. All the cabs have IoT devices that gather telemetry data from the vehicles.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company ABC4Logistics transports highly flammable petroleum products such as gasoline, liquid propane (LPG), and naphtha from the port to various cities.

Amazon EC2, with instances acting as AWS virtual machines, provides an ideal platform for operating your own self-managed big data analytics applications on AWS infrastructure.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Fast Sneakers is a fashion boutique with a focus on trendy sneakers. The price of any given pair of shoes can go up or down depending on inventory and trends, such as what celebrity or sports star was spotted wearing brand name sneakers on TV last night.

Amazon DynamoDB is a fast, fully-managed NoSQL database service that makes it simple and cost effective to store and retrieve any amount of data, and serve any level of request traffic.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company "ABC2Badge" provides sensors and badges for corporate or large-scale events such as AWS re:Invent.

AWS Lambda enables you to run code without provisioning or managing servers. You pay only for the compute time you consume – there is no charge when your code is not running.

Amazon Redshift is a fast, fully-managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently using your existing business intelligence tools.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company "InternetProvider" provides internet services with a variety of bandwidth options to users across the world. When a user signs up for internet, company "InternetProvider" provides the user with different bandwidth options based on user’s geographic location.

AWS Lake Formation is an integrated data lake service that makes it easy for you to ingest, clean, catalog, transform, and secure your data and make it available for analysis and machine learning.

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.

A lake house is a modern data architecture that integrates a data lake, a data warehouse, and other purpose-built data stores while enabling unified governance and seamless data movement.

Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.

Giving the decision-makers the opportunity to explore and interpret information in an interactive visual environment helps democratize data and accelerates data-driven insights that are easy to understand and navigate. Building a BI and data visualization service in the cloud allows you to take advantage of capabilities such as scalability, availability, redundancy, and enterprise grade security.

Amazon Kinesis is a platform for streaming data on AWS that makes it easy to load and analyze streaming data. Amazon Kinesis also enables you to build custom streaming data applications for specialized needs.

Operational analytics refers to inter-disciplinary techniques and methodologies that aim to improve day-to-day business performance in terms of increasing efficiency of internal business processes and improving customer experience and value.

Processing real-time streaming data requires throughput scalability, reliability, high availability, and low latency to support a variety of applications and workloads.

On AWS, analytic services, such as Amazon EMR , Amazon Redshift , Lake Formation Blueprints , and AWS Glue family services namely Glue ETL , Glue Workflows , AWS Glue DataBrew , AWS Glue Elastic Views allow you to run batch data processing jobs at scale for all batch data processing use cases and for various personas, such as data engineer, data analyst, and data scientists.

people have been talking about the data-driven organization model for years, which consists of data producers and consumers. This model is similar to those used by some of early adopting consumers and has been described by "Zhamak Dehghani of Thoughtworks", who coined the term data mesh.

In this blog post, We will talk about AWS Database services and Blockchain services. AWS Database services that help us build use case-driven, highly scalable, distributed applications suited to our specific needs. Developing blockchain and ledger applications is simpler, faster, and more efficient with AWS.

In this blog post, we will discuss some of the most important AWS analytics services that are built to handle large amounts of data at scale and automate many manual and time-consuming tasks. This services are purpose-built to give you the best performance, scale, and cost for your needs.

A review of the things I have learned from building in the open over the past year. Thoughts and reflections on what it takes to grow a project and the difficulty translating open-source success to commerical success.