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About Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn
🔥Micrososft Azure - Data Analyst Course - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=bY6ZzQmtOzk&utm_medium=DescriptionFF&utm_source=Youtube 🔥IIT Kanpur - Professional Certificate Course in AI-Powered Data Analytics - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=bY6ZzQmtOzk&utm_medium=DescriptionFF&utm_source=Youtube 🔥IITM Pravartak - Professional Certificate Program in AI-Powered Data Analytics - https://www.simplilearn.com/iitm-ai-data-analytics-program?utm_campaign=bY6ZzQmtOzk&utm_medium=DescriptionFF&utm_source=Youtube 🔥Microsoft Azure - Data Scientist - https://www.simplilearn.com/in/data-science-course?utm_campaign=bY6ZzQmtOzk&utm_medium=DescriptionFF&utm_source=Youtube 🔥Applied Data Science with Python - https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=bY6ZzQmtOzk&utm_medium=DescriptionFF&utm_source=Youtube In this Big Data Analytics video, you will see why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail. Below are explained in this Big Data analytics tutorial: 1. Why Big Data analytics? (00:34) 2. What is Big Data analytics? (02:27) 3. Lifecycle of Big Data analytics (10:14) 4. Types of Big Data analytics (12:46) 5. Tools used in Big Data analytics (21:08) 6. Big Data application domains (23:54) Watch more videos on Hadoop training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ #BigData #BigDataAnalytics #BigDataTutorial #BigDataAnalyticsForBeginners #BigDataTutorial #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn ➡️ About Data Analyst Master’s Program This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment. ✅ Key Features - Simplilearn's JobAssist helps you get noticed by top hiring companies - Industry-recognized Data Analyst Master’s certificate from Simplilearn - Dedicated live sessions by faculty of industry experts - Masterclasses from IBM experts - Industry-recognized IBM certifications for IBM courses - Ask-Me-Anything (AMA) sessions with IBM leadership - Capstone from 3 domains and 20+ projects - Exclusive hackathons conducted by IBM - Lifetime access to self-paced learning content - Program crafted to initiate your journey as a Data Analyst ✅ Skills Covered - Data Analytics - Statistical Analysis using Excel - Data Analysis using Python and R - Data Visualization Tableau and Power BI - Linear and logistic regression modules - Clustering using KMeans - Supervised Learning - Unsupervised Learning 👉 Learn More at: 🔥🔥
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YouTube Live View Counter is the best way to check your Favorite Creator's Statistics updated in real-time! Data seen on Most Social Medias might be inacurate or delayed, that's why Livecounts.io came with idea for YouTube Live View Counter!
Everything is directly taken from official API Service provided by Social Networks. Every single count is updated every 2 seconds and is as accurate as possible.
To search for specific channel simply click "Change User" button below Follower Count Box, type your favorite creator's username and you're good to go! This IS NOT case-sensitive thus you type for example "MrBeast" or "MrBeAsT" and it should still work!
If you're interested in watching Follower Count battle then navigate to Compare Page below Follower Count Box or on Navigation Bar.
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The YouTube Live View Counter tracks the view count on a single video and refreshes it about every three seconds, the fastest cadence we run. When a big upload or a premiere goes live, YouTube's own view count updates in slow, lumpy jumps and freezes for stretches while it verifies views. This tool reads the public figure far more often, so you see the number climb in something close to real time.
Under the main view count you get three more live stats for the same video: likes, dislikes, and comments. The dislike figure is worth calling out. YouTube hid the public dislike count in 2021, and this counter brings back an estimate so you can still gauge how a video is landing, not just how many people opened it.
Want the counter on a stream or a watch-party page? The embed option gives you a widget you can drop in. Want to race two videos, maybe a music video against its rival's? The compare tool puts both view counts side by side.
View counting on YouTube is stricter than subscriber counting. YouTube checks that a view is a real person watching, not a bot or an accidental reload, which is why a brand-new video's count can stick at a suspiciously round number before it lurches forward. What you see here mirrors that. During a premiere or a viral spike the number races. Once the initial rush fades it settles into a steadier pace.
All of it is public. This is the same view count sitting on the video's page, pulled more often and shown without the delay YouTube adds when it is busy verifying. We do not inflate anything or add views. We just make the real number easier to watch as it changes.
The chart under the counter plots every reading, so its slope is a live read on how fast the video is gaining views. A steep climb in the first hour is the sign of a video the algorithm is pushing hard. When the slope flattens, the initial rush is over. Turn on Advanced Metrics to add the total views gained since you opened the page and an average per-minute rate. That is the quickest way to tell a genuine breakout from a video that opened fast and then stalled.
The likes and comments moving in step with views tell you something too. A video gaining views but almost no likes is spreading without landing. Strong likes and comments alongside a climbing view count is the shape of a video people actually care about.
A new music video from a major artist is the classic case. Fans open the counter the second it drops to watch the first million, then the first ten million, roll in over the opening hours. Records get set and broken this way, and a live counter is the only place to feel the pace rather than read the recap.
The same goes for anything chasing a landmark. A video creeping toward a billion views pulls a crowd who want to catch the odometer flip. Creators use it too, watching how a fresh upload gathers views in its first hour to judge whether it is breaking out.
Why does the count sometimes freeze? YouTube pauses public view counts while it verifies that new views are real, usually on fast-moving videos around round numbers. The counter reflects whatever YouTube is showing, so it freezes when YouTube does, then catches up in a jump.
Where does the dislike number come from? YouTube removed the public dislike count in 2021. The estimate here is built from the data that was public before the change plus ongoing signals, so treat it as a strong estimate rather than an exact figure. Likes and comments stay exact, because those are still public.
Does it work for any video, and is it free? Any public video works. Private, unlisted, or restricted videos that hide their stats cannot be tracked, because the numbers are not public. It is free, with no sign-up. Ads keep it running. Paste a video link and watch.
We've got a wide range of social networks to choose from and track for.
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