This Big Data course is for those new to data science and interested in understanding why the Big Data Era has come to be including understanding of Big Data Analytics, Big Data Hadoop.
What is Big Data?
Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great.
With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that's a key consideration. Computing power. Big Data Hadoop's distributed computing model processes big data fast.
Why Big Data?
Even companies that are fully committed to big data, that have defined the business case and are ready to mature beyond the “science project” phase, face a daunting question: how do we make big data work?
The massive hype, and the perplexing range of big data technology options and vendors, makes finding the right answer harder than it needs to be. The goal must be to design and build an underlying big data environment that is low cost and low complexity. That is stable, highly integrated, and scalable enough to move the entire organization toward true data-and-analytics centricity.
Data-and-analytics centricity is a state of being where the power of big data and big data analytics are available to all the parts of the organization that need them. With the underlying infrastructure, data streams and user toolsets required to discover valuable insights, make better decisions and solve actual business problems. That’s how big data should work.
It’s critical to note that with flexible frameworks in place, big data technologies and programs can support multiple parts of the enterprise and improve operations across the business. Otherwise, there is real risk that even advanced and ambitious big data projects will end up as stranded investments. Gartner estimates that 90% of big data projects be leveraged or replicated across the enterprise.
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.
The ability to turn data into insights is one of the most thought-after skills anyone could have in today's big data world. A great way of finding your way into a data science or analytics career is through fee online courses. Here look at favorite Big Data and data science online courses.
This Big Data tutorial offers advice on managing big data applications and systems from companies in various industries, giving readers insight on real-world big data management strategies.