Best IT Training Institute in Hyderabad (including CloudUpskills)

📌 Featured Institute

Cloud Upskill *(Also referred to as *Cloudupskills / CloudOpskills)

4.7•Educational institution•Open

Why it’s notable:

Marketed as one of the Best IT Training Institutes in Hyderabad, offering career-oriented tech training. Cloud Upskill

Courses cover Data Engineering (including Azure Data Engineer DP-203), Cloud computing, Cybersecurity, Generative AI, Power BI, Full Stack & more. Cloud Upskill

Data Engineering training teaches building scalable cloud data pipelines, working with Azure Data Factory, Databricks, Synapse, Data Lakes, PySpark, SQL & certification prep. Cloud Upskill

Benefits often emphasized include hands-on real-world projects, professional mentorship, mock tests, 24/7 student support, and placement assistance. Cloud Upskill

TEDxTalks @KhanAcademy @CrashCourse @edXOnline @Coursera @Udacity @MIT @Harvard @YaleCourses … source

The average salary for a data scientist is $120,000 per year. With less than a year of experience, an entry-level data scientist can make approximately $125,000 to $150,000 per year. Data scientists with 1 to 4 years of experience may expect to earn about $170,000 to $200,000 per year. - try us for more details

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.

Volume - Organizations collect data from a variety of sources, including transactions, smart (IoT) devices, industrial equipment, videos, images, audio, social media and more.

Velocity - With the growth in the Internet of Things, data streams into businesses at an unprecedented speed and must be handled in a timely manner.

Variety - Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.

Big Data consists of Semi-Structured and Unstructured Data which is generated by the following:

Rapid increase of Social Media Platforms like Facebook, YouTube, Twitter, Instagram, LinkedIn, Pinterest etc.

Availability of low cost Smart Mobile phones with Mobile Apps Loaded.

6.7 Billion Smart Phones in the world with Mobile Apps

Deployment of Low-Cost Sensors across the world - which is about 46 Billion Sensors connected by 2021

All the above technologies have contributed to the rapid rise in Big Data Technologies - like Internet of Things (IoT), Data Science, Artificial Intelligence (AI), Machine Learning (ML), Natural language processing (NLP)

Why Is Big Data Important?

Improve operations

Cost Saving

Time Saving

Quicker and Better Decision Making Within Organizations

Improve Customer Experience

Provide better customer service

Create personalized marketing campaigns

Applications of Big Data –

Secure Air Traffic System

Auto Driving Car

E-commerce

Smart Traffic System

Transportation

Healthcare

Financial and banking sector

Education Sector

Media and Entertainment Sector

Reasons Why Big Data Analytics is the Best Career Move –

Huge Job Opportunities & Meeting the Skill Gap

Salary Aspects

Adoption of Big Data Analytics is Growing

The Rise of Unstructured and Semi structured Data Analytics

Analytics: A Key Factor in Decision Making

Numerous Choices in Job Titles and Type of Analytics

Career Prospects and Jobs for Software Engineers in the domain of Big Data:

Global Big Data Analytics Market to Grow 4.5 Times by 2025.

The average salary for Big Data Jobs in India is - ₹ 7,00,000 per year

The average salary for Big Data Jobs in USA is $187,500 per year

Big Data Role & their average salary:

Big Data Engineer - ₹ 10,00,000 - 20,00,000 P.A.

BIG DATA LEAD DEVELOPER - ₹ 16,00,000 - 30,00,000 P.A.

Big Data Developer - Python/Hadoop - ₹ 5,00,000 - 9,00,000 P.A.

Big Data Quality Assurance Engineer - ₹ 8,00,000 - 9,00,000 P.A.

Big Data Engineer / Python/ Scala /Spark /panda /matplotlib - ₹ 11,00,000 - 13,00,000 P.A.

Big Data Engineer - Spark, Scala, AWS - ₹ 10,00,000 - 18,00,000 P.A.

Big Data Engineer - $140,000 - $160,000 P.A

Bigdata Cybersecurity engineer - $180,000 - $190,000 P.A

Big Data Testing Engineer -$180,000 - $190,000 P.A

Big Data Solutions Architect - Data & Analytics

Lead Big Data Developer

What are the skills required for Big Data Engineer:

Analytical Skills

Familiarity with Business Domain and Big Data Tools

Data Visualization Skills

Problem Solving Skills

SQL – Structured Query Language

Familiarity with Programming Skills

Familiarity with Cloud Technologies like – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

Familiarity with data analysis tools, especially SQL, NoSQL, SAS, and Hadoop.

Tags:

#BigData #Career #CareerProspects #BigDataEngineer #SoftwareEngineer #DataScience #Training #ArtificialIntelligence #MachineLearning #AI #ML #NLP #BigDataTrainings #BigDataVendors #BigDataCourses #BigDataDatasets #BigDataGigs #BigDataTechstacks #BigDataProjects #BigDataHackathons #BigDataCareer #BigDataBlogs #Blogs

About the author:

Article Contributed by BigDataLogin Operations Team - with inputs from various global resources. Website: https://www.bigdatalogin.com/

BigDataLogin is a One-Stop Digital Platform for the $200 Billion Big Data and Software industry. Users can connect with the global Big Data and software community.