About BIG DATA Analytics

Lots of Data is being generated on each and every day by making online purchases and participating in social media, but that is just the tip of the iceberg. Big data can include digitized documents, photographs, videos, audio files, tweets and other social networking posts, e-mails, text messages, phone records, search engine queries, RFID tag and barcode scans and records from a financial transaction, though those aren’t the only sources. Also not to forget weather and traffic sensors, surveillance cameras, sensors in cars and aeroplanes and other things not connected with individuals that are constantly collecting data.

As per the expert, 80% of the data which is generated is unstructured in nature. This huge data was ignored until a few years back, including data sources like our notes, social media activities, telephone conversations and chats over the internet. Today all of this can be analyzed to bring out insights in real-time and customizations at a personal level. The way you like and comment on various posts on Facebook enable them to show the most relevant information and advertisement to you! There has been a dramatic increase in the variety and veracity of data being analyzed in the last few years. This huge database is used for analyses for business purpose so the concept “BIG Data Analytics” is emerging.

What does Big Data Analytics mean? Big data analytics is the process of applying analysis to large volume Data in varied data formats, to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Big data analytics refers to the strategy of analyzing large volumes of data, or big data. This is not only our generation need or know the concept of big data. In fact, it has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it. The aim in analyzing all this data is to uncover patterns and connections that might otherwise be invisible, and that might provide valuable insights about the users who created it.

The new benefits that big data analytics brings to the table, however, are volume, velocity & variety. This is enabling much organization to work faster and competitive which they didn’t have before. Big data analytics helps organizations harness their data (which can be in different formats) and use it to identify new opportunities. That, in turn, leads to smarter business strategies, higher profits, and happier customers.

Data needs to be high quality and well-governed before it can be reliably analyzed. Once the data is ready, the software is used for further analysis. To analyze such a large volume of data, Big Data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, and forecasting and data optimization. Collectively these processes are separate but highly integrated functions of high-performance analytics.

There are different segment have different need and smartly they are adopting this technology. Right from Stock Market, Healthcare, retrial online store sport etc., BIG data Analytics is key to future business strategy.

Stock market trend prediction using social media data the project leverages Twitter and other online data points to predict Stock Market trends and performance.

Keeping customers satisfied is key to the travel and hotel industry, but it is hard to measure especially in a timely manner. Big data analytics gives these organizations the ability to collect customer data, analyses it and identify potential problems before it’s too late.

Healthcare Big data is given in the healthcare industry. Patient records, health plans, insurance information and other types of information can be difficult to manage but are full of key insights once analytics are applied. By analyzing large amounts of information both structured and unstructured quickly, health care providers can provide lifesaving diagnoses or treatment options almost immediately.

On a broad scale, data analytics technologies and techniques help to an organization to design business strategies, to take corrective action by gathering all related different format data from various source, in a minimum time frame.

Real-world solutions and consultation from professional DBAs on all of database by remote DBA service (Database Management Services) is also important need like database integration, maintenance, monitoring, optimization, upgrade or performance tuning of database settings.