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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87
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Cost Conscious Data Warehousing with Cloudera Data Platform

Cloudera

Generally, if five LOB users use the data warehouse on a public cloud for eight hours a day for one month, you pay for the use of the service and the associated cloud hardware resources (compute and storage) for this period. 2304 for the cloud hardware instances = $(($1.44 / hour x (8 hours x 5 days x 4 weeks) x 10 instances).

Data 98
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Managing risk in machine learning

O'Reilly Media - Ideas

The data science community has been increasingly engaged in two topics I want to cover in the rest of this post: privacy and fairness in machine learning. Privacy and security. Secure multi-party computation is another promising class of techniques used in this area. Alon Kaufman on “Machine learning on encrypted data”.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Final thoughts.

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Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. If you are reading this article, your company is probably experiencing some process problems which you’re trying to solve. Ensure data quality.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

It eliminated the need to get back to the traditional environment when teams struggled with complex and costly in-house hardware and software. . At some point, cloud computing has changed how to streamline business processes and deal with data in general. Read the article. Data and analytics. Security and governance.

Azure 52
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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Data visualization as a part of data representation and analytics. Source: powerbi.microsoft.com.