Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. They also need knowledge of Data Warehousing, Analytics, and Business Intelligence concepts, Data Visualization, etc.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

DECEMBER 29, 2023

Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. NoSQL databases are often implemented as a component of data pipelines. The Lambda design supports both batch processing and real-time operations. Also, they need to be familiar with ETL.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

OCTOBER 30, 2021

Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Then, a data scientist uses complex business intelligence tools to present business insights to executives. Providing data access tools. Monitor the infrastructure.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JUNE 23, 2023

You must develop predictive models to help industries and businesses make data-driven decisions. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. You can also post your work on your LinkedIn profile. Step 4 - Who Can Become a Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Knowledge Hut

APRIL 26, 2024

Data analysts typically use analytical and business intelligence software such as MS Excel, Tableau, PowerBI, QlikView, SAS, and may also use a few SAP modules. On the other hand, computer engineers are responsible for the design of data and the setting up of the necessary infrastructure.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

AltexSoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. This change birthed various specialized databases like columns for numbers, key-values for simple info, and graphs for relationships. Now, it's different.

Certification 52

Certification Database MongoDB MySQL 52