Big data analytics

Smooth and intelligent –Accelerating business with big data analytics.

We have learned a lot about big data in the past 10 years, but will we be able to change the world with data? It is possible! However, we’ve got to understand more about the data and its benefits before thinking ways to change the world with it. Certainly! Data has the same power like crude oil. Data drives businesses and enables managers to make their strategic decisions faster, the same as oil enables us to drive cars. Oil cannot make cars faster and smarter but data does because data bears the power to drive businesses faster and smarter.
What is real-time data analysing?
Real-time data analytics is truly an emerging power these days and people understand it well. Therefore, we need to address real-time benefits and what real time is.
Do we need to call a real-time for seconds, milliseconds or nanoseconds?
Imagine you open a water tab where there is no drops but steaming water which is powerful and unstoppable without employing a right control to handle it. That is what we call real-time. Today’s data is structured, unstructured and semi-structured. Also, data is from different data sources such as machines, sensors, social media, databases, and different applications. Data types are video, audio, text and databases; videos need to be the transcripted to text for analysing during the steaming to make real-time text analysing possible. Data is in different languages and it requires understanding to analyse the sentiment.
Tomorrow belongs to the speed!
The capabilities to store a large amount of data faster isn’t new. What is new is the capability to do something that can help get meaning-full from the insight faster and cost-effectively. We all know when it comes to speed, we need nanoseconds ingesting, milliseconds analysing and seconds to output meaning-based information in dashboards or make it available to query using the search box.
Today businesses and governments both have been storing data whether in the form of structured, unstructured or semi-structured in many decades. We are witnessing today, however that there is an explosion of none traditional ways of data collection, hence distributing and managing it in real time. New techniques are emerging for analysing data and coping with an unprecedented changes is costing a lot of money for implementing it. In addition to new capabilities, handling a large amount of data is becoming an everyday problem while open sources and different vendors who want to compete with each other are developing technology that can ingest, store, secure, analyse, manage data and save cost by using inexpensive commodity hardware.
HP Vertica database is the solution for analysing unstructured and structured data in real time.
Reading structured, unstructured or semi-structured data faster can be achieved by applying partially in-memory database HP Vertica. HP Vertica is MPP columnar database with pre-in built analytic functions because it stores and operationalizes high-value business data. The Speed and scale of Vertica are unmatched. HP Vertica is a column-based database that encodes on the columns using different algorithms, and it can be easily configured depending on manual or automated settings. HP Enterprise offers HP Vertica as-a- service on a managed cloud or on- premises.

How HP Verica can analyse data in real time?
HP Vertica advises that an Encoding ratio POC is undertaken. The POC loads customer’s data and the uncompressed file is compared to the size of the database on the disc to determine this ratio. HP Vertica has another unique features compare to its competitors.
This is how real-time data processing and analysing is made possible. Also, HP Vertica supports industry standard data security layers including LDAP, Kerberos, Time synchronisation, Authenticated and Authorization.
HP Vertica for SQL on Hadoop
Many database vendors like to broaden their system’s capabilities Hadoop Ecosystem. Similarly, HP Enterprise harbours an enterprise-level SQL on Hadoop Big Data analytics engine that taps into the richest set of analytics capabilities for Hadoop. The latter dramatically reduces complexity while accelerating time to generate strategic and key insights when the system is functionally operating. Therefore, adopting HP Vertica will enable you to avoid the complexity brought about by the use of data ingesting and analysis tools.