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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

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How Dafiti made Amazon QuickSight its primary data visualization tool

AWS Big Data

Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which isn’t necessarily in line with the technological needs and infrastructure of a company. In this post, we discuss why we chose QuickSight and how we implemented it.

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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

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

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Production Dashboard: Optimize Your Production And Manufacturing

FineReport

Due to the limitations of time and space, it is unrealistic for the management to visit amounts of enterprises’ workshops to grasp their dynamic production in real time. Workshop Application of FineReport. The interactive control design can help you easily view the real-time dynamics of manufacturing through data visualization.

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How SikSin improved customer engagement with AWS Data Lab and Amazon Personalize

AWS Big Data

An AWS Glue crawler populates the AWS Glue Data Catalog with the data schema definitions (in a landing folder). AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development.

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The Modern Data Stack Explained: What The Future Holds

Alation

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Today, data integration platforms like Rivery do just that.