Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. You should be well-versed in Python and R, which are beneficial in various data-related operations.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

In order to properly execute Data Analysis and come up with the optimal solution to a problem, you must have a solid background in mathematics and statistics. You should be able to effectively communicate with the prospective teams as a Data Analyst and present your results to them.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Another such algorithm is Naive Bayes.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

Hadoop Framework works on the following two core components- 1)HDFS – Hadoop Distributed File System is the java based file system for scalable and reliable storage of large datasets. Data in HDFS is stored in the form of blocks and it operates on the Master-Slave Architecture. More data needs to be substantiated.

Hadoop 40

Hadoop Big Data Metadata Java 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. The dataset consists of metadata and audio features for 1M contemporary and popular songs.

Hadoop 40

Hadoop Big Data Coding Project 40

AltexSoft

FEBRUARY 11, 2023

Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations. Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52