Let's say that large IT groups and experts in the field must respond to the growing demands of businesses. Indeed, these engage in a digital transformation far from being simple. They hope to take advantage of the cloud, lower the cost of their infrastructure, gain in performance while respecting the legal constraints. For this, they must make significant adjustments. This is what we could see at Big Data Paris 2019. Get More Info On Big Data Training

 Big Data Architect and IT Business Manager at Umanis, is working on the issue of hybrid platforms. According to the expert, they appeared two years ago with the democratization of the Cloud. "Historically, Big Data platforms for large accounts were on site. Four or five years ago, most of our customers had Hadoop clusters in their own data centers. With the emergence of the cloud and associated services, they have become more efficient, but also they do not have to install new equipment to add other nodes, applications or expand existing elements, "says our interlocutor .

Businesses finally benefit from cloud and Big Data infrastructures

Indeed, a Hadoop cluster operates on a single local network. It is not possible to run remote machines geographically. The hybrid platform responds to this problem. "It consists of a set of different tools operated in a unique architecture: what is usually called a data lake," says Benaissa. In addition to migration constraints, it requires "a lot of data governance work," says the expert. Most importantly, businesses are no longer just using this model, but want the full benefits of cloud and hybrid environments. Get More Points On Big Data Certification

For this, Cloud era, which recently merged with Horton Works, offers the Altus Plane Service Suite. While most Open Source tools are distributed versions of these open source tools, governance solutions are proprietary, like IBM's.

Indeed, Big Blue offers software such as IBM Optima, Info sphere Information Governance Catalog or Stored IQ Suite to facilitate the management of this data across various cloud and big data infrastructures. The US company also offers services to secure information analyzed by artificial intelligence. Get  More Info On 

The transparency of algorithms according to IBM

In October 2018, the company presented Watson on Premise, a service that installs IBM's proposed AI on a company's private cloud. This must prevent the leakage of valuable data. "For now, companies have done a lot of relatively simple projects around chat bots. There are no major privacy issues, "says Alleghenies Gruyere, Cloud Vice President at IBM France. "If they want to go further, companies need to be sure that they are masters of their data and associated algorithms."

In this, IBM offers the Watson Open Scale tool. It provides the visibility and control of these programs dedicated to AI. Thus, companies benefit from "a transparency of the algorithms by checking the presence or the absence of bias likely to modify the behavior of the IA".

The firm also relies on data virtualization. For this, it offers IBM Cloud private for data. This containerized tool allows to connect to multiple databases without data lake. Compatible with different clouds, it "breaks the silos" of a company.

Data governance applied to human resources

This is typically what Orange applies internally. The telecommunications operator called on Talend to gather some fifteen data sources used by human resources within their tools. The idea: to monitor employees and their skills throughout their career at Orange. It is of course necessary to maintain the conformity of this tool with the RGPD while proposing a robust authentication management system. This cloud HR software suite is deployed in all Orange divisions Get More Points Big Data Hadoop Training

The driving of change, the brake of the adoption of Big Data.

Jean Bernard Guidt, Partner in charge of the Business & Technology activity at Keyrus Management, sees the same difficulties: "It is necessary to be able to help the businesses to concretize an idea, a case of use and to deploy it on a scale. The CIO must therefore not only be interested in the technological part, but become a business facilitator for his employees ".

The firm focuses on assisting in the implementation of a data eccentric strategy, the re orchestration of IT, BI and Big Data architectures, the integration of the AI, and the implementation of IT solutions.Get Depth Knowledge On Big Data Online Course