Cloud data management and analysis, essential for data -based companies

Cloud data management and analysis, essential for data -based companies

The complexity of data integration, its accessibility and the support of different formats are the main barriers mentioned in data management (79%). Managing new cloud system environments is a concern for companies concerned with getting the most out of their data. By 2021, the gap between hybrid and public cloud will widen significantly.

Denodo publishes the results* of its sixth annual survey focused on cloud usage by companies around the world. This shows that cloud adoption continues to rise: more than half of organizations (54%) report being in the intermediate or advanced stage of its use. Facilitating cloud change has become a priority for companies today faced with global supply chain challenges, cyber threats and geopolitical instability. Where organizations of all sizes and vertical markets are turning to the cloud for flexibility and resiliency, SMBs are investing in cloud infrastructure services for moving their workloads, storing their data, and developing of new technologies. cloud-native applications.

Data warehouses, data lakes, and lake houses in the cloud: a key role in 2021

These were cited by survey participants as a priority initiative (48%) or a top use case (57%). The hybrid cloud remains the preferred deployment model as already shown in the survey in 2020. However, this year the gap between hybrid and public cloud has widened significantly, with the former being chosen almost twice as much. respondents (38%) than pure public cloud (20%). Now, it’s clear that the hybrid cloud is less of an “option” and more of a “need,” a sign that companies aren’t entirely leaving their systems on -premises even as they expand their presence in the cloud. There are good reasons for choosing this type of mixed deployment, including regulatory compliance. This is no doubt why they decided not to lightly and lightly abandon on-premise systems in the face of technological advances.

Obstacles that persist for adopting a data -based approach

When it comes to data-driven business, nearly four in five organizations (79%) cite the complexity of data integration, accessibility, and support for different formats as key barriers. Next is the lack of skills and resources to interpret raw data (62%). Data scientists are also struggling. Because they often spend more time searching, accessing and preparing data than analyzing it, 44% are unable to process half of their data after using cloud technologies. Only 17% have used at least three quarters of it.

The Evolving Role of IT in Cloud Modernization

In 2020, professionals will often be concerned with choosing the right cloud provider and managing the transition. However, in 2021, these teams will seek more training to take their company’s cloud systems to a new level (31%). Other activities such as choosing a cloud provider and planning migrations remain important. Businesses are turning to the cloud for a variety of use cases, the most popular being reporting, dashboards, or self-service business intelligence (BI) and analytics. However, survey participants expect change in virtualization, readiness and data quality in the future.

These use cases clearly illustrate where many companies are on their cloud journey. On the one hand, they reflect the fact that business players within companies are better prepared to use their data. On the other hand, they show that companies are now looking to get the most out of their cloud systems with powerful cloud data repositories. After migrating key workloads to the cloud, the next step for many is knowing where to store the new data they’re starting to capture. Innovative data management techniques, such as logical data fabric, allow businesses to seamlessly support legacy systems so they can work simultaneously with cloud systems.

Users continue to express their need for real-time data. It is therefore not surprising that availability, in relation to the integration, management and analysis of data in the cloud, is not only a “plus” but an important element in enterprise data management., ”Commented Ravi Shankar, SVP and Chief Marketing Officer of Denodo. ” This is true in all business setups, but the reality is most cannot find, reach, and analyze half or more of their data after using cloud technology. Perhaps that’s why so many organizations (93%) say they use, evaluate, or consider integrating, managing, and analyzing data in the cloud, including the use of advanced technologies, such as data virtualization and logical data fabric, to ensure continuity. , real-time access between on-premise and cloud systems. »

When it comes to choosing cloud providers, Microsoft Azure and Amazon Web Services continue to dominate the market, but this year AWS (44.6%) surpassed Azure (26.2%) by a comfortable lead, while the latter only surpassed of AWS for two years. successively. Google Cloud Platform completes the podium (8%). Note, however, that Alibaba jumped from 1.4% in 2021 to 3.6% this year.

*Methodology
The Denodo Global Cloud Survey 2022 surveyed more than 150 companies in three major regions of the world-North America, EMEA and Asia-Pacific-to determine where they are on their cloud adoption journey. The questions were distributed online, in March 2022, to data and cloud professionals with a variety of skills and functions.

Leave a Comment