Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

MARCH 28, 2024

Education & Skills Required Proficiency in SQL, Python, or other programming languages. Experience with Azure data services like Azure SQL Database, Azure Data Factory, and Azure Databricks. Collaborate with data scientists to implement and optimize machine learning models.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 19, 2023

Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc. Algorithms, data preparation and model evaluations. Salary: Senior data scientists can earn more than $150000, while entry-level positions pay between $7000 to $100000.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

DECEMBER 27, 2023

Business analysts have a wide range of responsibilities, including data analysis, report writing, and business process improvement (BPI). Knowledge: The manager must be familiar with business analysis tools, methodologies, and processes for conducting practical data analysis.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Language Compatibility: Flexibility is a hallmark of Azure Synapse. Python: Widely used for data analysis, scripting, and machine learning.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40