Data Transformation Interactive Metadata Visualization 
AWS Big Data
DECEMBER 5, 2023
To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.
datapine
SEPTEMBER 29, 2022
He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. 2 – Data profiling. date, month, and year).
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Cloudera
DECEMBER 9, 2022
Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. A reimagined visual editor to boost developer productivity and enable self service. Interactivity when needed while saving costs.
Cloudera
MARCH 14, 2023
Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.
AWS Big Data
MARCH 13, 2024
You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run. You’re now ready to query the tables using Athena.
AWS Big Data
OCTOBER 11, 2023
We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources.
AWS Big Data
NOVEMBER 15, 2023
It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. They can use their own toolsets or rely on provided blueprints to ingest the data from source systems.
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