What are the current technologies used in data analytics?

Asked by Last Modified  

2 Answers

Follow 2
Answer

Please enter your answer

Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions...
read more
### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions like Amazon Redshift and Snowflake store and manage large volumes of data.4. **Machine Learning:** Libraries and frameworks like TensorFlow and Scikit-learn for predictive modeling.5. **SQL Databases:** Systems like MySQL and PostgreSQL for querying and managing relational data.6. **Cloud Analytics:** Platforms like Google Cloud and Azure provide scalable analytics services.7. **Data Integration Tools:** Tools like Talend and Apache Nifi integrate data from various sources. ### Summary:These technologies help collect, process, visualize, and analyze data efficiently. read less
Comments

I am online Quran teacher 7 years

### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions...
read more
### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions like Amazon Redshift and Snowflake store and manage large volumes of data.4. **Machine Learning:** Libraries and frameworks like TensorFlow and Scikit-learn for predictive modeling.5. **SQL Databases:** Systems like MySQL and PostgreSQL for querying and managing relational data.6. **Cloud Analytics:** Platforms like Google Cloud and Azure provide scalable analytics services.7. **Data Integration Tools:** Tools like Talend and Apache Nifi integrate data from various sources. ### Summary:These technologies help collect, process, visualize, and analyze data efficiently. read less
Comments

Related Questions

Digital Marketing vs Data Science: Which has a more fruitful career?

After Covid, the below-mentioned jobs below would have more demand in the future. Digital Marketing Website Development Copy Writing & Content Writing Social Media Marketing Graphics Designing Video Editing Blogging Translation
Ranjit

I am looking to learn a few skills to become a good freelancer and I am a graduate with no technical qualification,  I am not understading which was to proceed or should I learn a few skills 

You can opt for a complete Digital Marketing course of 3 to 6 months which will give you in-depth knowledge of the topics. Further, if you want you can also opt for specialization in particular modules like freelancing, lead generation etc.
Anustup
0 0
8

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Printing Worksheets In Excel
i. Quick Print: If you want to print a copy of a worksheet with no layout adjustment, use the Quick Print option. There are two ways in which we can use this option. Choose File » Print (which...

4 Key Things to Learn for Data Science
1. Theory:Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.2. Data Visualisation:Tableau and PowerBI are easy-to-use...

Simple Charts In Excel
i. Charts: A chart is a visual representation of numeric values. Charts (also known as graphs) have been an integral part of spreadsheets. Charts generated by early spreadsheet products were quite crude,...

Tableau is a Good tool for Visualisation
Tableau is one of the best BI Tool we use to show the Data in a Visualization Mode. Tableau is a very Powerful & Fastly growing data visualization tool used in the field of Data Analytics. It will...

Big Data & Hadoop - Introductory Session - Data Science for Everyone
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.

Looking for Data Analytics classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you