Knowledge Hut
APRIL 23, 2024
The Era of Big Data In the era of big data, some of the most serious problems facing us are maintaining data quality and setting up contemporary infrastructure for data ingestion from various sources. In 2001, Doug Laney defined big data and highlighted its features.
Knowledge Hut
NOVEMBER 2, 2023
Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Edureka
FEBRUARY 9, 2023
As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. It is also crucial to have experience with data ingestion and transformation.
Ascend.io
FEBRUARY 15, 2023
Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. Our internal process was highly efficient for processing such massive amounts of distributed data.
Ascend.io
FEBRUARY 15, 2023
Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. Our internal process was highly efficient for processing such massive amounts of distributed data.
Knowledge Hut
DECEMBER 13, 2023
Tech Mahindra Tech Mahindra is a service-based company with a data-driven focus. The complex data activities, such as data ingestion, unification, structuring, cleaning, validating, and transforming, are made simpler by its self-service. It also makes it easier to load the data into destination databases.
Knowledge Hut
APRIL 25, 2023
Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.
Expert insights. Personalized for you.
52 
Let's personalize your content