Nowadays, almost all companies must work with data, especially those that process large amounts of information, so we will explain 5 tools that will transform your data into value for your business. The value of data in the business world has become incalculable. In this sense, Big Data allows us to collect large amounts of data from all types of sources. For this reason, there are several very useful tools that allow us to transform the data generated by organizations into valuable knowledge for businesses.
Amazon Web Services (AWS)
From the e-commerce and parcel services giant, Amazon Web Services (AWS) is a cloud-based service platform that provides a variety of infrastructure services such as storage, networks, databases, application services, computing power, messaging, artificial intelligence, mobile services, security, identity and compliance, and others.
The strength of AWS is that it provides a broad and integrated portfolio of cloud computing services, which helps implement big data applications. Another advantage is that with AWS there is no need to provision hardware or maintain or scale infrastructure, which is practical and affordable for organizations.
Cloudera
Cloudera is a brand specialized in Big Data that allows you to add functions to the basic architecture in which various companies store, process and analyze data. One of its characteristics is that it allows everyone in the organization to better formulate the questions while getting the detailed and multidimensional answers they need to move their business forward.
Cloudera also contemplates storing data in a centralized, secure and fully governed place where the entire organization can access it at any time and from anywhere.
In addition, its distributions use its Impala analytics engine, which has also been included in packages offered by competitors such as Amazon and Map R.
IBM Watson Studio
The tools of the multinational technology company cannot be left behind in the world of data. That's why they have created multiple tools for organizations that allow them to be more efficient and secure.
One of these tools is IBM Watson Studio, which allows developers and data analysts to create, execute and manage Artificial Intelligence models, in addition to optimizing schedules, plans and resource allocations using predictions. All this creating an optimization model with a natural language interface and open multi-cloud architecture.
It is important to highlight that Watson works in a probabilistic way: you are asked a question and you will respond with a series of probable answers, ranked according to the probability that they are correct.
MapR
This specialized tool offers a distributed data platform for storing and analyzing data of any size (typically big data) in a distributed way that is also linearly scalable.
One of the advantages of MapR is that it also supports several versions of most components of the Hadoop ecosystem in each version of its platform.
IBM Big Data Platform
IBM offers a wide range of products and services designed to make complex Big Data analytics more accessible to businesses. In particular, IBM Big Data Platform offers its own Hadoop distribution known as InfoSphere BigInsights.
What tool do you think is most useful for your organization? If you want to know more about it, visit https://enki.mx/
Blog Enki
