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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow. The CEO also makes decisions based on performance and growth statistics. Who are the data owners? What are the transformation rules? Data Governance. Collaboration.

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Why You Need End-to-End Data Lineage

erwin

As I mentioned above, the three Vs of data and the integration of systems makes it difficult to understand the resulting data web much less capture a simple visual of that flow. Metadata management and manual mapping are a challenge to most organizations. Who are the data owners? What are the transformation rules?

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

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Why Your Data Lineage is Incomplete Without an Automated Business Glossary

Octopai

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Unlike a Mars mission, it’s not rocket science, and Octopai’s automated metadata management tools can do the heavy lifting. ????.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Solution overview In this post, we walk through a call center analytics solution that provides insights into the call center’s performance in near-real time through metrics that determine agent efficiency in handling calls in the queue. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5