Report: Data Warehouses Are Heading To The Cloud
- Nearly 100 percent of respondents have a documented data strategy, with 92 percent indicating the strategy is used to inform decision making.
- A combined 49 percent said real-time analytics are either critical at their organization or are about to be implemented.
- Neatly 50 percent said they’re either considering or already have formal DataOps and MLOps processes.
- 48 percent said they use machine learning, with another 20 percent of respondents considering implementing the technology.
- 65 percent said they either have or are considering implementing a data lake, with 45 percent of data lakes driven by Hadoop and nearly 30 percent by cloud-native platforms.
- Of all concerns around cloud technology, data security (63%) was the most prevalent followed by data governance (56%) and performance (50%).
On this page
Share this
Share this
More resources
Learn more about Pythian by reading the following blogs and articles.
Defining “real-time’ or ‘streaming’ analytics and its use cases

Defining “real-time’ or ‘streaming’ analytics and its use cases
Mar 5, 2020 12:00:00 AM
5
min read
Leveraging Azure Synapse Analytics Service Integrations

Leveraging Azure Synapse Analytics Service Integrations
Jan 20, 2022 12:00:00 AM
6
min read
Monitoring Azure Data Factory, Self Hosted IR and Pipelines

Monitoring Azure Data Factory, Self Hosted IR and Pipelines
Sep 15, 2021 12:00:00 AM
8
min read
Ready to unlock value from your data?
With Pythian, you can accomplish your data transformation goals and more.