Cloudera
JUNE 26, 2023
For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale.
Knowledge Hut
DECEMBER 26, 2023
According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture.
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Knowledge Hut
NOVEMBER 3, 2023
MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. With large amounts of unstructured data requiring storage and many popular data analysis tools working well with MongoDB, the prospects of picking it as your next database can be very enticing.
Knowledge Hut
MARCH 28, 2024
Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.
Knowledge Hut
MAY 9, 2024
Big Data Engineer Big data engineers focus on the infrastructure for collecting and organizing vast amounts of data, building data pipelines, and designing data infrastructures. They manage data storage and the ETL process. The standard salary range, however, is $95,000 to $154,000.
Knowledge Hut
MARCH 22, 2024
Education & Skills Required Bachelor’s or Master’s degree in Computer Science, Data Science , or a related field. Good Hold on MongoDB and data modeling. Experience with ETL tools and data integration techniques. Building dashboards and reports to visualize MongoDB data. Strong programming skills (e.g.,
Knowledge Hut
NOVEMBER 28, 2023
Data Visualization To successfully fulfill ETL or ELT-related work, you must be well-versed in exploratory data analysis (EDA). This forms an integral part of data visualization, which includes tools like Azure, Google Looker, Excel, SSRS, etc.
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