Astera

APRIL 24, 2024

Amazon Kinesis Amazon Kinesis is a cloud-hosted data service that extracts, processes, and analyzes your data streams in real-time. The Kinesis app integrates with many other AWS services, allowing users to build complete applications. Kafka’s replication and storage mechanisms require significant hardware resources.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Sisense

FEBRUARY 3, 2020

Data ingestion and analytics mechanism using Kinesis-analytics and Athena, an end-to-end serverless architecture that enables users to consume insights about their social network profile data and more.”. “I I was deeply impressed seeing the culture of innovation and collaboration at Sisense Hackathon. Real-time BI is possible! into Sisense.

Innovation 97

Innovation Visualization 97

Whizlabs

JUNE 16, 2021

Amazon Kinesis- Kinesis is yet another managed service that intends to implement real-time processing of the streaming data on a bigger platform. You can load the streaming data onto the Amazon Elasticsearch service with the use of both Kinesis Data Streams and Kinesis Data Firehose.

Visualization 52

Visualization Monitoring Planning 52

Domo

MAY 17, 2021

Streaming Data Via AWS Kinesis Connector: Send a real-time stream of data from AWS Kinesis to a Domo JSON Webhook DataSet using an Amazon Lambda function. Amazon Aurora Writeback Connector: Export your data from a Domo dataset to Amazon’s MySQL- and PostgreSQL-compatible relational database.

Data Warehouse 52

Data Warehouse Cloud Computing Monitoring Logistics 52

Whizlabs

JUNE 14, 2021

Some of the common preferable tools include Amazon Kinesis Firehose and Logstash. Some of such AWS services include Kinesis Firehose, AWS IoT, CloudWatch Logs, and others. AWS Elasticsearch allows you to send data through it in the form of JSON documents. You can do it with the use of ingestion or API tools. Highly Secure.

Documentation 52

Documentation Monitoring Visualization 52

Whizlabs

APRIL 13, 2021

Some of the common triggers of AWS Lambda are Alexa Skills Set, API Gateway, CloudFront, Kinesis, S3, SQS, SNS, CodeCommit, and others. You do not have the authority to control the running instance of EC2 and the running container of AWs Lambda. AWS Lambda is a function that gets executed from the trigger queries.

Cloud Computing 119

Cloud Computing 119

Sisense

JULY 6, 2021

Our cloud-native platform is uniquely well suited for a comprehensive list of Amazon databases, platforms, and cloud storage services, such as Amazon DocumentDB, Amazon Aurora, Amazon DynamoDB, Amazon S3, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon SageMaker, Amazon Comprehend, and AWS Outposts.

Embedded Analytics 52

Embedded Analytics Data Warehouse Government Innovation 52

Whizlabs

APRIL 8, 2021

Service You Will Be Learning And Using For This Exam. AWS Machine Learning. Relational database service (RDS). Elastic Block Storage (EBS). Data Processing. Amazon Glue. QuickSight. Elastic MapReduce. Apache Spark. Machine Learning Services. Rekognition. Comprehend. Transcribe. Elastic Interface. KMS Encryption.

Process Modelling 52

Process Modelling Vision Data Modelling 52

Astera

MARCH 11, 2024

Fivetran can be run in fully managed, hybrid, or self-hosted environments, accommodating different organizational needs and policies. Cons Lacks support for Kinesis stream as a data source and serverless Aurora, limiting its applicability for specific use cases.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Whizlabs

APRIL 15, 2021

Choose ‘Custom’ for the ‘Input Type’ But, get information about each of those available types of input within AWS Lambda, such as Cognito Event, Kinesis Event, SNS Event, S3 Event, and Custom. Now, add a name for your project; following that, give Group ID, class name, and Artifact ID in the respective asked fields.

Data Analytics 52

Data Analytics Data Analytics Planning 52

InfoQ Articles

MARCH 3, 2022

In this article, authors discuss the data lineage as a critical component of data pipeline root cause and impact analysis workflow and how automating lineage creation and abstracting metadata to field-level helps with the root cause analysis efforts. By Mei Tao, Xuanzi Han, Helena Muñoz.

Data Modelling 99

Data Modelling Data Management 99

Whizlabs

APRIL 19, 2021

Sridevi is active in organizing the AWS User Group in Chennai and a regular speaker at those community events which focus on analytics solutions using AWS Analytics services, including Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon S3, and AWS Glue. She has more than 16 years experience in the IT industry. She is infact a AWS Data Hero.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145