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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

Data is the fuel that drives government, enables transparency, and powers citizen services. It outlines a scenario in which “recently married people might want to change their names on their driver’s licenses or other documentation. Data quality issues deter trust and hinder accurate analytics. Modern data architectures.

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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement. Example Corp.

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A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

Digitalization is on the agenda of almost every company, and data is the foundation of digitalization. Data management is unfortunately considered to be a thankless task. Data management is unfortunately considered to be a thankless task. Data experts know all too well that their company data is usually not in such good shape.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

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An Introduction to Disaster Recovery with the Cloudera Data Platform

Cloudera

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

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Modernizing the Data Warehouse: Challenges and Benefits

BI-Survey

Data warehousing is getting on in years. Concepts and architectures have been applied more or less unchanged since the 1990s. However, data warehousing and BI applications are only considered moderately successful. But what are the right measures to make the data warehouse and BI fit for the future?

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Are Data Silos Undermining Digital Transformation?

BI-Survey

The existence of data silos is nothing new. Data-producing applications were once isolated systems. The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more.