Cloudera, the hybrid data company, announced the expansion of its Open Lake Warehouse All-in-One product, enabling customers to provide the foundation for analytics and artificial intelligence (AI) capabilities for all cloud and local data in the enterprise.

For enterprise users, the deployment of traditional IT architecture has been gradually abandoned, the practice of putting all the business in the cloud is now increasingly popular.

In the context of digital transformation, as it relates to business change and digital support, the need for IT departments and business departments to work closely together, the responsibility is not clear if it is even easier to fall into the whirlpool of meetings and communication.

The gender parity gap in the technology industry is actually well documented and the problem is prevalent at all levels of the industry, but technology also promises to be a powerful way to close the gap between genders.

A smart supply chain involves streamlining operations using many emerging technologies including big data, IoT, blockchain, and RPA.

The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.

Seventy percent of respondents expect a return on their investment within one year, while for another 30 percent, a return on investment within six months is desired.

When executives hear the term "big data", they naturally think of an amazing amount of available data. This data comes from e-commerce and omni channel marketing, or from connected devices on the Internet of Things, or from applications that generate more detailed information about trading activities.

The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.

Enterprises must design IoT devices to ensure that they work properly and comply with cost and aesthetic considerations.