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The 10 most in-demand IT jobs in finance

CIO

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

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The 10 most in-demand IT jobs in finance

CIO

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

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Mastering Day 2 Operations with Cloudera

Cloudera

In the fast-paced world of cloud-native products, mastering Day 2 operations is crucial for sustaining the performance and stability of Kubernetes-based platforms, such as CDP Private Cloud Data Services. Day 2 operations are akin to the housekeeping of a software system — vital for maintaining its health and stability.

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What is OLAP: A Complete Guide to Online Analytical Processing

Altexsoft

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. This could be a transactional database or any other storage we take data from. Data extraction.

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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

One of these tools, Fama , uses machine learning and natural language processing to analyze public online content and internal HR data to spot such red flags. Oracle Recruiting Cloud users can predict the likelihood of a candidate accepting a job offer. A provider maintains the platform and handles the storage of your data.

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?? On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data

Confluent

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

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