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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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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. This requires a deep understanding of the organization’s strengths and weaknesses.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

IoT 108
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Enhance data security and governance for Amazon Redshift Spectrum with VPC endpoints

AWS Big Data

For instructions, refer to Centralize governance for your data lake using AWS Lake Formation while enabling a modern data architecture with Amazon Redshift Spectrum. Swapna has a passion towards understanding customers data and analytics needs and empowering them to develop cloud-based well-architected solutions.

Data Lake 100
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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Read on to be sure you set yourself up for success. .

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How Mapfre gets cloud to coexist with its tech model ambitions

CIO Business Intelligence

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. So in the data part, we’ve grown with technologies that weren’t convergent.