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Big Data is a term that refers to vast amounts of data, both structured and unstructured, that are generated from various sources, such as social media, internet searches, and mobile devices. There are five key characteristics of Big Data, known as the Five V’s: Volume, Velocity, Variety, Veracity, and Value.
In this Tutorial we will learn about:
What is Big Data?
The Characteristics of Big Data:Five V’s Explained
What’s This About a 6th and 7th V?
How Would You Like to Become a Data Engineer?
Volume, Velocity, Variety, Veracity, Value
What is Big Data?
Big Data is a term used to describe extremely large and complex data sets that cannot be easily managed or analyzed using traditional data processing methods. The term “big” refers to the size and complexity of the data, which can come from various sources, such as social media, online transactions, sensors, and mobile devices.
The concept of Big Data is not only about the sheer volume of data but also includes the velocity, variety, veracity, and value of data. Big Data can be structured, semi-structured, or unstructured and may include various types of data, such as text, images, audio, and video.
The analysis of Big Data has the potential to provide valuable insights and improve decision-making processes in fields such as healthcare, finance, marketing, and logistics. Big Data technologies, such as Hadoop, Spark, and NoSQL databases, have emerged to help organizations manage and analyze massive amounts of data more efficiently and effectively.
For More Info: datavalley.ai/characteristics-of-big-data/
U.S. Secretary of Energy Chris Wright, center, sits in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
SciEd Summer Student Ashly Martinez Zepeda works on science equipment in the Magnet Shop at Jefferson Lab Newport News, Va., July 9, 2025. (Lindsay Cunningham | Jefferson Lab)
Scientific Data and Computing Department Head David Lawrence writes on a whiteboard in CEBAF Center at Jefferson Lab Newport News, Va., July 17, 2025. (Aileen Devlin | Jefferson Lab)
PGDM (Big Data Analytics) is an AICTE-approved two-year full-time specialized programme for any graduates who are passionate about shaping a career in Big Data Analytics.
In two years of tenure students will undergo complete core courses that provide a thorough, and integrated foundation in management & big data analytics essentials. With the advantages, of summer internship and get exposure to independent projects, seminars, and finally, end with an industry project of 4-month durations
Jobs opportunities after completion of PGDM in Big Data Analytics
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Data Architect
Data Analyst/ Big Data Analyst
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BI and Analytics Consultants
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As technology continues to evolve, the demand for skilled data professionals, especially data engineers, is on the rise. Whether you’re a recent graduate or looking to make a career switch, landing your first job as a junior data engineer can be a challenging yet rewarding experience. It requires not only the right technical skills but also a strategic approach to job hunting and professional development.
In this comprehensive guide, we’ll walk you through the steps to secure your first job as a junior data engineer. We also introduce you to Datavalley’s Data Engineering course, designed to help you build the skills and knowledge necessary for success in this field.
Understanding the Role of a Junior Data Engineer
It is important to have a clear understanding of the role of a junior data engineer before starting the job search process. Junior data engineers play a crucial role in data engineering teams. They are responsible for:
Assisting in data collection from various sources.
Supporting data transformation and cleaning processes.
Assisting in the development and maintenance of data pipelines.
Collaborating with senior data engineers and data scientists to ensure data is accessible and ready for analysis.
Participating in troubleshooting and debugging data-related issues.
Junior data engineers often work closely with more experienced colleagues to learn the ropes and gain practical experience.
Build Your Foundation
To land your first job as a junior data engineer, you need to establish a solid foundation of skills and knowledge. Here’s what you should focus on:
1. Programming Skills
Start by mastering programming languages commonly used in data engineering, such as Python for data engineering and SQL. These languages are fundamental for data manipulation and processing tasks.
2. Database Knowledge
Understanding databases is crucial. Learn about relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) to work with various data storage systems. Learn distributed data processing with big data tools and technologies.
See More:https://datavalley.ai/courses/aws-data-engineer-masters-program/
Cyber Security Student Intern Anthony Mendiola gives a presentation in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
SRF Accelerator Staff Scientist II John Vennekate, right, gives a presentation in the Test Lab at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
BRIC Staff Scientist Cameron Clarke gives a presentation in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
FiBANin Data Engineer Ivan Helin kertoi miten FiBANilla implementoidaan tekoälyä ja automatisaatiota
Professional-Data-Engineer Exam: Google Cloud Certified Professional Data Engineer
A Professional Data Engineer empowers information driven basic leadership by gathering, changing, and picturing information. The Data Engineer plans, fabricates, keeps up, and investigates information handling frameworks with a specific accentuation on the security, unwavering quality, adaptation to non-critical failure, versatility, constancy, and proficiency of such frameworks. The Data Engineer likewise dissects information to pick up understanding into business results, fabricates factual models to help basic leadership, and makes machine learning models to mechanize and streamline key business forms.
For Further Details:
SciEd Summer Student Ashly Martinez Zepeda works on science equipment in the Magnet Shop at Jefferson Lab Newport News, Va., July 9, 2025. (Lindsay Cunningham | Jefferson Lab)
External hard drive data recovery media may also refer to some removable storage devices, when they are used to transport or store data. Examples include:
USB flash drive.
External hard drive Disk; traditional IDE, EIDE, SCSSI, and SSDE.
External media readers and drives are integrated into computers, others are themselves removable.
The Data Science track is a unique program offered by SynergisticIT to provide training to students in the most in-demand technologies, including Python, Data Science, AWS, and Machine learning. After the training program, you can apply for roles like Python developer, big data engineer, data analyst, etc.
Read more at: www.synergisticit.com/data-science-track/
Scientific Data and Computing Department Head David Lawrence give a presentation in the CEBAF Center auditorium at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
Summer Residential Governor's School in Engineering Program student Anya Mathew shows off parts she designed and 3D printed for DACERI (DAta Center Robot Inspector) in CEBAF Center at Jefferson Lab Newport News, Va., July 17, 2025. ((Aileen Devlin | Jefferson Lab)
Those with corporate experience (even if it's just one year) are the ideal prospects for this role. Students can study when it is convenient for them and around their other obligations with the help of distance learning. Weekend classes are available for people who are unable to take time off during the week.
Now that we have more information, we can say that a candidate's skill set is much more important to hiring managers than their level of education. For a fraction of the cost of a traditional three-year degree, students in this program can learn from some of the best teachers in the country, collaborate with some of the biggest names in AI, take on challenging real-world problems, and gain significant project experience.
BRIC Staff Scientist Cameron Clarke, left, gives a presentation to U.S. Secretary of Energy Chris Wright, left in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
Virginia Summer Residential Governor’s School in Engineering Program students gather in CEBAF Center at Jefferson Lab Newport News, Va., July 17, 2025. (Aileen Devlin | Jefferson Lab)
Starting a career in data science? Discover the different career paths and how to break into data science with this comprehensive data science career guide!
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Manipal skills is one of the top recognized academy to provide placement assistance training programs. Popular career options after data analytics course are data scientist, statistician, data engineers, data analysts, machine learning engineers, etc. www.manipalskills.com/career-aspirants.php
High Performance Data Facility Project Director Kate Mace gives a presentation in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
Earn DASCA’s Senior Big Data Engineer Certification and be recognized by technology companies globally for senior-level jobs in big data engineering. Click here : www.dasca.org/data-science-certifications/senior-big-data...
Summer Residential Governor's School in Engineering Program student Diya Patel, center, looks at frequency modes that are used to do plasma processing of SRF cavities in the Test Lab at Jefferson Lab Newport News, Va., July 17, 2025.(Aileen Devlin | Jefferson Lab)
Sr. SRF Accelerator Physicist Anne-Marie Valente, left, gives a presentation to U.S. Secretary of Energy Chris Wright, right, in the Test Lab at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.
This #GlobalTechCouncil infographic on “Data Analyst vs Data Engineer vs Data Scientist” will help you understand the various similarities and differences between these 3 Job roles.
If you are someone looking to get into this Data Science career,
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The field of Data Science is booming because it is validating to be viable not only over businesses but also over divisions inside the businesses as well. It seems impossible to envision how much information (data) is being gathered per second all over the world. But for sure, for whatever length of time this information is being gathered, there will be an interest for Data Researchers, regardless of being a Data Architect, Data Engineer, Data Analyst, or Data Scientist.Data Science will be in great demand and interest at least for the following decade!If you are looking for data science course with job Assistance And Project visit Data Science Training in Bangalore-Learnbay.
Cyber Security Student Intern Anthony Mendiola, center, gives a presentation in CEBAF Center at Jefferson Lab Newport News, Va., Aug. 21, 2025. (Lindsay Cunningham | Jefferson Lab)
Jefferson Lab welcomed U.S. Department of Energy Secretary Chris Wright with a full day visit to learn about the Lab’s expertise in areas of AI and machine learning, STEM workforce development with the next generation of scientists, leadership in accelerator science and exploring nuclear physics science.