ProjectPro
OCTOBER 28, 2015
Some of the common challenges with data ingestion in Hadoop are parallel processing, data quality, machine data on a higher scale of several gigabytes per minute, multiple source ingestion, real-time ingestion and scalability. Need for Apache Sqoop How Apache Sqoop works? Need for Flume How Apache Flume works?
ProjectPro
DECEMBER 7, 2021
This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?
ProjectPro
JULY 27, 2021
Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How did you go about resolving this?
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