Remove Data Processing Remove Interactive Remove Publishing Remove Unstructured Data
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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It allows users to interact with information without involving any IT professionals. It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It allows users to interact with information without involving any IT professionals. It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It allows users to interact with information without involving any IT professionals. It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information.

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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products. Install NPM.

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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure. Evaluate data across the full lifecycle.