Knowledge Hut
APRIL 25, 2024
This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.
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.
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Knowledge Hut
JUNE 20, 2023
Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.
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.
Knowledge Hut
NOVEMBER 17, 2023
Data engineers must therefore have a thorough understanding of programming languages like Python, Java, or Scala. Candidates looking for Azure data engineering positions should also be familiar with big data tools like Hadoop.
ProjectPro
DECEMBER 7, 2021
In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. However, it is not straightforward to create data pipelines.
Knowledge Hut
DECEMBER 26, 2023
They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.
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