Database Trends That Will Take The Spotlight This Year

Data and information management is a huge growth area. But it's not just data management creating new job opportunities, its gathering, analyzing, storing and securing the data as well.

There is sudden increase in the way data is currently being collected. People use smart phones and smart tablets and connected to internet throughout the day. Most of the shopping has gone online. As a result, data is getting collected in different formats and from different applications. The rapid expansion of Big Data is further fueled by exponential increase in usage of internet and people ability to interact on social media and different networking applications including YouTube, Gmail, Facebook to name a few. But just how easy is the task to leverage the vast amount of data, which is called Big Data, our computer systems are collecting on a daily basis? What significant challenges are currently faced by the organizations

I did this research by reading scientific literatures. I started with the NMC Horizon Reports, from which I quoted some important trends mentioned in it, for example Cloud computing, wearable technology, etc., and got some

Visionary executives are finding opportunities beyond existing and traditional data repositories, such as on-premises CRM and ERP systems. Today 's data can include social media posts, customer journey information, Internet of things (IoT) data, and more.

The volume of stored data will enable the analysis of Big Data and the determination of Business Intelligence (BI) appropriate to each demand in each of the participating countries.

the ‘big Data era’ has arrived — multi-petabyte data warehouses, social media interactions, real-time sensory data feeds, geospatial information and other new data sources are presenting organisations with a range of challenges, but also significant opportunities. IDC believes that as CIOs start to adopt the new class of technologies required to process, discover and analyse these massive data sets that cannot be dealt with using traditional databases

Big Data is becoming more meaningful with the ever more powerful data technologies, which enable us to derive insights from the data and help us make decisions. Big Data also creates new courses and professional fields such as the data science and data scientist, which are aimed at analyzing the ever growing volume of data. Some might think this exaggerated because data analysis, after all, not a new invention. However, we might all agree that the progress of digitization associated with the generation of ever larger amounts of data have totally changed the ways we deal with data.

Apache Hadoop is an open source framework and its helps in the distributed processing of

As the company yearns to adopt advanced analytics with the focus of predictive analytics, it needed a new, modern architecture and innovative technologies to support it. The process and journey led to the adoption of in-database and in-memory processing. It has been several years of evaluating and exploring different technologies and vendors.

“It is common for the shallow and deep sections of a real swimming pool to be connected by a gradual slope. However, too often this sloped section is missing when it comes to how data is shared at companies. The data is only available in two depths – one for the data novice (1.5 feet) and one for the data scientist (30 feet) with a steep drop-off between the levels. As interest in data continues to grow, it is critical to create a better bridge between these depths. Organizations are discovering there’s a wider group of business users who need to explore the data more freely and deeply on their own. Like my twins, they’re eager to venture beyond the shallow end but may not be prepared to swim on their own in the deep end.” (Dykes, The age of data democratization: How to effectively share data across your business | Bloomberg, 2015)

Volume is often regarded as the primary attribute of big data. With that in mind, a large number of people define big data in terabytes—sometimes petabytes, but big data can also be quantified by counting records, transactions, tables, or files (Russom, 2011). Volume refers to the mass quantities of data that organizations are trying to harness to improve decision-making across the enterprise (Schroeck et al., 2012). The volumes of data have continued to increase at an unprecedented rate over the last couple of years. The sheer volume of data that is stored or available for storage today is exploding, it is expected that by the year 2020 40 zetabytes (ZB) of data will be stored (Zikopoulos et al. 2012) which

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.

Current potential customer: Currently In-memory technology is more suitable for small or medium enterprise (Haji, 2011). This is due to price of memory.

Nowadays, it seems that almost anything and everything is available online at any time. You can check email from your phone, find friends, order food, and even manage employees. Apps these days are producing extraordinary amounts of data from a wide array of sources. With such a large volume of data being passed online, it was only a matter of time before companies would want to analyze this raw data to better understand and improve the day to day operations and functions. Companies like Google can use your browsing data to target advertising (Google, n.d.) and help improve functionality of their proprietary apps like Google Maps (Mehta, 2016). Hospitals use clinical based data to study patient trends, which gives a better insight into

Current Information and Communication technology includes big data, the cloud, mobile communication, and social media. These ICT developments marked latest trends in ICT, and promise to bring enormous potential improvement in ICT industry in future. These developments will further pass to a whole range of industries and sectors that leverage ICT.