Knowledge Hut
APRIL 25, 2024
If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies.
Edureka
FEBRUARY 9, 2023
As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.
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ProjectPro
JANUARY 19, 2022
Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools.
Knowledge Hut
OCTOBER 30, 2023
It is the ideal moment to begin working on your big data project if you are a big data student in your final year. Current suggestions for your next big data project are provided in this article. A crucial strategy for handling such complicated cloud resources is automatic anomaly detection.
Edureka
FEBRUARY 9, 2023
This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. Data engineers don’t just work with traditional data; they’re frequently tasked with handling massive amounts of data.
Knowledge Hut
SEPTEMBER 6, 2023
Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.
Knowledge Hut
SEPTEMBER 26, 2023
Using scripts, data engineers ought to be able to automate routine tasks. Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.
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