Knowledge Hut
DECEMBER 26, 2023
Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.
Knowledge Hut
MAY 23, 2024
Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. It is much faster than other analytic workload tools like Hadoop.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Knowledge Hut
NOVEMBER 2, 2023
Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.
ProjectPro
JANUARY 19, 2022
Good knowledge of various machine learning and deep learning algorithms will be a bonus. 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.
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 big data project is a data analysis program that bases its analysis on a very sizable data set.
ProjectPro
AUGUST 24, 2021
So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer.
AltexSoft
FEBRUARY 11, 2023
It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);
Expert insights. Personalized for you.
97 
Let's personalize your content