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Top Gen AI Use Cases: How to Turn Unstructured Data into Insights

Snowflake

Kumos native app provides this intelligence by combining graph learning over structured data and gen AI models trained on unstructured data, all within the Snowflake environment. To learn about the top use cases for leveraging AI to drive success, download the Ultimate Guide to Data + AI for Industries.

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Five Strategies to Accelerate Data Product Development

Cloudera

From my discussions with Cloudera clients, data product development has been on top of the growth agenda in many industries such as Financial Services, Healthcare and Telecommunications. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Also, Spark and MapReduce do complement each other on many occasions.

Hadoop 96
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Data Marts: What They Are and Why Businesses Need Them

AltexSoft

A data warehouse (DW) is a data repository that allows for storing and managing all the historical enterprise data, coming from disparate internal and external sources like CRMs, ERPs, flat files, etc. Initially, DWs dealt with structured data presented in tabular forms. Independent data marts.

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What is Data Enrichment? Best Practices and Use Cases

Precisely

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination?

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Telecommunications: predicting equipment failure. Standing for Mobile Broadband Network LTD, MBNL is a leading provider of telecommunication services, jointly owned by two British most innovative mobile operators. Why and when do you critically need data scientists? The company takes care of 22,000 network towers across the UK.