Are you looking for the best YouTube channels to watch for anything related to big data, education, science, documentary, news, politics, technology, cloud computing, or TED talks? If so, you have come to the right place! Read on to find the most informative, entertaining, and engaging YouTube channels on the topics mentioned above. We have scoured the web to find the best YouTube channels that cover all of these topics, so no matter your interests, you are sure to find something worth watching! Keep reading to discover the top YouTube channels for big data, education, science, documentary, news, politics, technology, cloud computing, and TED.
Big data: Top Youtube Channels
Data Engineering
Data Engineering is a YouTube channel that provides educational tutorials and resources related to big data, cloud computing, mobile computing, web apps, Java Tamil, Python Tamil, AWS Tamil, and Cloud Computing Tamil. It is the perfect channel for learning more about the data engineering subject and how it can be applied to the latest technologies. With comprehensive content and step by step tutorials, Data Engineering is a great resource for anyone looking to gain a strong understanding of the subject.
Big Data
Amazon Web Services
The Amazon Web Services YouTube channel is a great place to get an overview of topics such as big data, cloud computing, Amazon EC2, Amazon S3, Amazon SQS, Amazon SimpleDB, AWS events, AWS public sector, and AWS tutorial. Whether you are just starting out or a seasoned professional, the channel provides easy to follow videos and helpful information to ensure successful usage of the Amazon Web Services.
edureka!
Edureka! is an expansive YouTube channel offering helpful tutorials, training videos, and online lessons on a variety of trending technologies, including big data, cloud computing, data science, web development, android development, and Apache Spark. With a vast collection of content, it's a great resource for gaining comprehensive knowledge of these technologies.
Simplilearn
Simplilearn's YouTube channel is a great resource for squeezing out every bit of knowledge on a variety of topics such as Big Data, Cyber Security, Digital Marketing, Machine Learning, Data Science, Six Sigma, Artificial Intelligence, Business Analyst, Deep Learning, Social Media Marketing, and Ethical Hacking. It also offers insights with courses, certifications and its special Master's Program. With simple language, interesting visuals and brief video clips, Simplilearn's YouTube channel is an ideal destination to learn complicated topics in an easy way.
Great Learning
Great Learning is an online educational platform that teaches courses in Data Science, Big Data Analytics, Machine Learning, and Artificial Intelligence. They prepare professionals to gain expertise in data analytics and analysis, artificial neural networks, and artificial intelligence. The Great Learning YouTube channel offers video tutorials and lectures to help learners understand the latest advancements in the Big Data field.
Perfect Computer Engineer
The Perfect Computer Engineer YouTube channel is an invaluable resource for digital learners interested in the computer engineering field. Offering tutorials on topics such as big data, digital signal and image processing, natural language processing, human machine interaction, and distributed computing, this channel is especially beneficial for aspiring computer engineers studying at Mumbai University. It also provides valuable lessons on Maths 4, vital to the subject.
Funk-e Studios
Funk-e Studios is a YouTube channel created by a team of animators and data analysts which produces videos about big data through energetic and creative animations. Its videos explore topics ranging from machine learning and artificial intelligence to the history of data science. The videos are sure to captivate viewers and create a vivid understanding of these abstract topics.
nullQueries
nullQueries is an educational YouTube channel dedicated to teaching and inspiring viewers about data engineering, data careers, cloud data, big data, data architecture and data pipelines. Run by a successful big data engineer and data architect, the channel provides valuable insight and advice on how to build successful careers in data and business intelligence, as well as how to create effective data architectures in the cloud.
Software Architecture Academy
Software Architecture Academy is a YouTube channel devoted to teaching users new knowledge related to software architecture, data architecture, application architecture, cloud architecture, big data architecture, data governance, data modelling, data warehousing, and database concepts. It provides engaging content to help individuals learn more about big data and modern architectures for leveraging its potential.
Trendytech Insights
Trendytech Insights is a YouTube channel that provides comprehensive big data tutorials, hadoop tutorials, hadoop tutorials for beginners, big data tutorials for beginners, hadoop training, and big data training. Through Trendytech Insights YouTube channel, learn and gain insights on the latest trendytech information related to big data.
Future of Tech by CompTIA
truthserum2000
Truthserum2000 is a YouTube channel that covers a wide range of genres, from rock and pop to soul, country, and jazz, offering a unique take on music in combination with a deeper look into life's big data. Additionally, the channel brings a creative twist to its content by incorporating one-of-a-kind quilts as visual accompaniments.
Exploring the Basics of Big Data Technology
Big data technology is quickly becoming a powerful tool for businesses of all sizes. As the amount of data that is generated continues to increase, companies must learn how to effectively use big data technology to help them better understand the data they possess and make better business decisions. Exploring the basics of this technology can help organizations of all sizes to take advantage of the power of big data.
- The first step in understanding big data technology is to become familiar with its components. Big data includes multiple technologies such as data warehousing, data mining, and analytics systems. These components, when used together, work to analyze large amounts of data and create tangible insights that can help drive business decisions. This technology can be used to understand consumer behaviors, patterns, and trends as well as improve operational efficiency.
- Finally, to make the most use of big data technology, organizations should consider investing in a reliable third-party vendor that specializes in this area. These vendors provide tools to collect and aggregate data, helping organizations to better understand the data they possess. Additionally, they provide managed services to help organizations leverage the power of big data and utilize the insights it can provide. By finding the right third-party vendor, organizations can make significant improvements in the way they manage and analyze data.
By exploring the basics of big data technology, organizations of all sizes can understand the components of this technology and have a better picture of how it can be used to their advantage. With the help of a third-party vendor, organizations can use the collected insights to make better decisions and realize the potential of their data.
Identifying Opportunities with Big Data Deployment
Big data deployment is becoming increasingly popular with businesses, as they can use it to identify opportunities they may not have seen before. By combining data sources, businesses can gain a more comprehensive understanding of what their customers want, allowing them to tailor their products and services to better meet their needs. Big data deployment can also be used to detect emerging trends in the marketplace and anticipate customer behaviours, such as changes in preferences or spending.
- Using big data deployment tools, businesses can analyse their customer data to make informed decisions about future investments and product development efforts. This can help them better target customers who are likely to want their products or services and tailor their marketing strategies to reach those customers. By carefully gathering and evaluating customer data, businesses can better understand which areas of their product offerings could be improved and which products could be offered that would best appeal to their predetermined target demographic.
- Data analysis can also be used to improve customer retention and loyalty by enabling businesses to anticipate their customers’ needs, tailor services to those customers, and proactively approach them with offers that are hard to resist. With all of these advantages, big data deployment can provide businesses with the valuable insights they need to make the most out of all their customer and market data.
Businesses that leverage the power of big data will be able to stay ahead of their competition and more effectively identify, engage, and retain new customers.
Understanding the Impact of Big Data on Artificial Intelligence
Big data is an important factor in the development of Artificial Intelligence (AI). It is the collective term used to describe the large amounts of data generated by businesses, governments and other entities. Big data is used to help AI systems understand patterns in data, learn from it and use that information to create AI-based products and services. With the help of big data, AI systems can be trained to recognize patterns and predict relevant outcomes.
- Big data can help AI systems analyze large amounts of unstructured and structured data quickly, allowing them to respond faster to changes or new requests. By using big data, AI can learn to make better decisions or understand complex systems or processes. For example, AI can help streamline operations, reduce costs and improve customer service in a variety of industries. Additionally, it can help identify fraud, reduce risks and save time by automating mundane tasks.
- Big data sets are also used in the development of AI-based facial recognition algorithms. These algorithms have been implemented to automate security systems at airports, for tracking faces for marketing purposes and for identifying suspects with facial recognition technology. By leveraging big data in the development of AI algorithms, businesses can benefit from high-performance AI-driven systems that can enhance their operational efficiency and accuracy. Understanding the impact of big data on artificial intelligence is essential for businesses to take advantage of the opportunities these technologies can offer.
Businesses should properly assess their needs and use AI-driven systems and technologies to gain insights into their operations and improve customer service.
