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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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Network Traffic Intelligence for ISPs

Kentik

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven.

Network 40
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Now Available: Cloudera Data Science Workbench Release 1.4

Cloudera

With Models, data scientists can simply select a Python or R function within a project file, and Cloudera Data Science Workbench will: create a snapshot of model code, saved model parameters, and dependencies. deploy and start a specified number of model API replicas, automatically load balanced. or higher 5.x x versions.

Data 41
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Introducing Kentik

Kentik

Available choices for “solutions” consist largely of enterprise software or appliances, single-machine open source software, or more recently, work done by in-house tools groups trying to build platforms on top of existing big data engines like Hadoop or Elastic. Long-term retention and availability at high resolution.

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10 most in-demand enterprise IT skills

CIO

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3. As such, Oracle skills are perennially in-demand skill.

UI/UX 203
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The Why and How of Interface Classification

Kentik

Given that Kentik was founded primarily by network engineers, it’s easy to think of our raison d’etre in terms of addressing the day-to-day challenges of network operations. While that’s a key aspect of our mission, our unique big data platform for capturing, unifying, and analyzing network data actually supports a broader scope.

Network 40
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The Good and the Bad of Docker Containers

Altexsoft

Then deploy the containers and load balance them to see the performance. If you are a programmer, a DevOps , a data engineer , or any other specialist who wants to use Docker in projects, you should have a clear roadmap of how to get started with this technology. Flexibility and versatility.