ProjectPro
FEBRUARY 8, 2023
Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of data security, compliance, and privacy.
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.
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Knowledge Hut
NOVEMBER 17, 2023
Azure Services You must be well-versed in a variety of Azure services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Analysis Services, Azure Stream Analytics, and Azure Data Lake Storage, in order to succeed as an Azure Data Engineer. The certification cost is $165 USD.
Knowledge Hut
NOVEMBER 17, 2023
Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Azure Data Factory stands at the forefront, orchestrating data workflows.
Knowledge Hut
OCTOBER 3, 2023
Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Let’s understand in detail: Great demand: Azure is one of the most extensively used cloud platforms, and as a result, Azure Data Engineers are in great demand.
Grouparoo
DECEMBER 7, 2021
If inadequate quality data enters a process, then any integrity change will not affect the quality of the data, just its correctness. Ensuring good data quality is a separate topic from maintaining good data integrity. Why is Data Integrity Important? Data integrity is one of the triads of data security.
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. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.
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