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Using Data Virtualization in Your API Initiatives

Data Virtualization

Many of us are addicted to technology. You might have heard someone exclaim, “I spend way too much time on my phone,” or “Ugh, I need to get off of Instagram.” But you probably haven’t heard someone say, “I’m addicted.

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AI bots for customer experience: trends, insights, and examples

CIO Business Intelligence

Customers may be open to the idea, but only 30% believe that chatbots and virtual assistants make it easier to address their service issues. Most still perform only extremely basic tasks and often mirror the poor practices of traditional IVRs. For now, it’s “slow and steady wins the race.”

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14 in-demand cloud roles companies are hiring for

CIO Business Intelligence

Whether that means implementing cloud-based policies, deploying patches and updates, or analyzing network performance, these IT pros are skilled at navigating virtualized environments. Cloud systems engineers are responsible for designing, implementing, and maintaining the necessary infrastructure to support a business’ cloud initiatives.

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Enable advanced search capabilities for Amazon Keyspaces data by integrating with Amazon OpenSearch Service

AWS Big Data

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

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One Line Away from your Data

Cloudera

Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. Finding the right data and getting access to it are two of the top pain points we hear from our customers. Let’s see this in action.

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How to prevent prompt injection attacks

IBM Big Data Hub

Hackers can use the compromised LLM to steal sensitive data, spread misinformation, or worse. LLMs consume both trusted system prompts and untrusted user inputs as natural language, which means that they cannot distinguish between commands and inputs based on data type. ” It worked on the remoteli.io The remoteli.io

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements.

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