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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. In the cloud, with infinite potential capacity, the problem is more about creating efficiencies and managing costs while also meeting critical SLAs.

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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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10 highest-paying IT jobs

CIO

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

AI needs to be incorporated into their systems quickly and seamlessly to provide real-time responses and decisions that meet customer needs. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. It’s also used to deploy machine learning models, data streaming platforms, and databases.

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Firebolt, a data warehouse startup, raises $100M at a $1.4B valuation for faster, cheaper analytics on large data sets

TechCrunch

Now, it is announcing a big round of funding to fuel its big data growth: Firebolt has raised $100 million in a Series C round on a $1.4 Investors are betting big at the moment on companies that are building platforms to meet not just the enterprise data challenges of today, but the growing challenges as they believe they will exist tomorrow.

Analytics 218
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DataOps Uncovered: A Bold New Approach to Telemetry and Network Visibility

Kentik

With modern networks’ increasing complexity and scale, it has become essential to collect and analyze data from various sources to gain insights into network performance, security, and availability. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52
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Deploying LLM on RunPod

InnovationM

You may need to optimize the model’s performance based on the available resources and constraints of the RunPod. Monitor its performance and make any necessary adjustments to ensure optimal operation. Optimized for AI and ML: S pecialized infrastructure and tooling for optimal performance. Why to use RunPod?