Remove Data Architecture Remove Data Governance Remove Modeling Remove Unstructured Data
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5 Ways Data Modeling Is Critical to Data Governance

erwin

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. Today’s data modeling is not your father’s data modeling software.

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Data architecture strategy for data quality

IBM Big Data Hub

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

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Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

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Accelerating generative AI requires the right storage

CIO Business Intelligence

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

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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.