Expert Writers for Big Data Assignment Help
Big data assignment help providers are everywhere, but not everyone is a good fit for you. When it comes to whetting your data analysis skills, you should engage a proven data analysis assignment help provider. Big data is now a BIG thing all over the business world. And that isn’t going to change any time soon. But mediocrity has no place in today’s fast-moving world. To succeed in today’s data-inundated world, you must become a result-oriented person. And that’s where quality big data assignment help comes in. The phrase “Big Data” is one of the most carelessly thrown around phrases today. But what, exactly, is big data?
Big data is simply what the name suggests: vast amounts of data. But big data isn’t just enormous amounts of data. It’s a sea of unstructured, semi-structured, and structured data of different varieties traveling at insane velocity.
Each day tons of data bombard businesses. And not everyone knows what to do it with all the data. But that’s where your big data analytics skills come in. Businesses hire big data analytics professionals to help them order their data and extract gems of information from it.
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Data analytics is a technical process that focuses advanced analytic techniques on enormous and diverse data sets. But where does big data come from? It comes from Facebook, Twitter, Pinterest, and other widely used social networks. It also comes from sensors, videos, audio, web, log files, devices, and transaction applications. Every second, all these places generate staggering amounts of data in real time.
Also, the emergence of Artificial Intelligence and the Internet of Things has added to the whole big data story. Businesses today are seeing unprecedented volumes of data from the nooks and crannies of the marketplace. But how’s that big data analytics assignment treating you? Need some big data assignment help? Shoot us a message right now via live chat and your anxiety will vanish.
Characteristics of big data: High Volume, High Velocity, and High Variety
For data to be said to be “big,” it needs to have at least one of 3 characteristics. First, the data needs to be voluminous. Second, it needs to be diverse. Third, the data needs to be happening very fast. In other words, it needs to be moving at insanely high speed.
Did you know that Facebook users generate about 5.7 billion likes every day? And that Twitter users crank out roughly 6,000 tweets every second? Now that’s big data. As you ponder the vastness of all the data that surges around you, don’t forget to write that analytics assignment. And if you need expert assistance, talk to us. We always have a big data assignment help provider on standby in case someone has an emergency of sorts.
31 Big Data Analytics Topics We’re Great at
- Data mining
- Data processing stages in data mining
- Hardware systems for data mining
- Software systems for data mining
- Principles of data analysis
- Forecasting and prediction
- Predictive analytics
- Diagnostic analytics
- Prescriptive analytics
- Descriptive analytics
- Hadoop
- Apache Spark
- Spark applications
- Spark algorithm
- Spark SQL
- Querying tables and views using Apache Spark SQL
- Spark parallel processing
- Advanced Hive Concept
- Data file partitioning
- Basics of Hive and Impala
- Types of data formats
- Introduction to Big data and Hadoop ecosystem
- HDFS and YARN
- Pig
- Implementation of Spark applications
- Connecting analytics to Big Data
- Google Big Query
- Extracting data
- Transforming and loading data
- Displaying data insights
- Big data distributed processing systems
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Why Provide Big Data Assignment Help?
Demand from students pursuing data analytics degree
Why do think everyone everywhere nowadays is singing the praises of data analytics? It’s because big data delivers enormous benefits. As a result, colleges and universities are developing courses in data analytics and big data. Most students who come to us for data analytics assignment help are from US and UK universities studying business and data science courses. Big data analytics is gaining traction among businesses as they seek to decipher trends and seasonality. Thus, big organizations are creating departments in data analytics necessitating need for qualified data analytics professionals.
Here are 3 ways businesses are leveraging big data:
Data analytics helps business to detect and mitigate fraud
Data analytics joins forces with predictive and prescriptive analytics to help businesses detect fraud. Thanks to data analytics, a bank can very easily monitor transactions in real time. They can also quickly spot the abnormal behaviors and patterns that typically precede fraud. Big data analytics is a highly effective way of preventing “theft by servant.” You will find varied questions that use data analytics to detect fraud in your big data assignments. Talk to us for best data analytics assignment help on how to solve credit card fraud detection assignments.
Helps improve supply chain efficiencies
The issue of cost control has become critically important in today’s insanely competitive business world. Companies everywhere are looking for new ways to whittle down costs and increase revenue.
With data analytics, businesses today can easily collect and analyze supply chain data and identify inefficiencies. Often, there are some changes the organization can make to save time and reduce costs. Logs, transaction data, and sensors are some of the sources for the big data that’s saving companies tons of money.
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Data analytics helps businesses study customer behavior
If you’re not monitoring customer behavior 24/7, you’re falling further and further behind. But you need not worry as long as you’re subjecting your big data to accurate and consistent analysis. Existing and potential customers are interacting with your brand every day. And they’re leaving behind lots of data from which you can extract useful insights and information.
Focused data analytics helps you to develop a 360-degree view of your customers’ motivations and behavior. The information you obtain should help you formulate marketing tactics tailored to your customer’s specific needs.
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