It’s simpler and more effective
Many organizations switch to data lakes because they are easier to maintain and require less backend maintenance. Transform Your Organization with Data in the Cloud Unlike data siloes, which have to be managed separately, data lakes operate under centralized governance. They have a single owner, which means that all the data will be encrypted, managed, audited, and logged in the same way. From a business standpoint, this reduces the amount of time and energy spent ensuring that each silo is compliant and secure with enquizit.
But compliance isn’t the only benefit of centralized data governance. Data lakes also limit the frustration that comes from integrating siloed data. When data siloes try to exchange information, it’s often complicated and time-consuming. You might have to translate large quantities of data into a particular format, which can result in errors in your dataset. With data lakes, all that data already lives in one place— which means no transfer time, no reformatting, and no errors. You can choose to integrate whatever data points you want without worrying about the logistics.
Choose Your Tools
But to make data-driven decision-making possible, everyone in your organization needs to have access to consistent and accurate information. Data lakes simplify access to all data in your organization for everyone—no matter their department or role data in the Cloud. Data lakes have a single access control plane which allows handing out different levels of access to different roles – to stay compliant with privacy regulations.
Democratizing your data has many organizational benefits, including increased collaboration across departments, smarter decision-making, and increased opportunities for innovation. Rather than keeping valuable data in siloes, data lakes give all the creative minds in your team access to information they could use to develop a new system or create a new product. For example, at the Bureau of Labor Statistics, the agency responsible for computing the consumer price index, a shared data lake enabled new levels of collaboration between economists, data scientists, and analysts like never seen before.
It reduces operational overhead
I n the past, companies that wanted to take advantage of data in a more holistic way had to spend a lot of money on their on-premises environment. This meant that for many publicly funded organizations, holistic data management simply wasn’t possible. In the cloud, however, those same capabilities are available for a fraction of the cost. In fact, it is often cheaper to move to a data lake from an on-premises data warehouse.
Build the Pipeline
Many companies have on-premises servers storing tons of data that they want to use. But their network connectivity makes that virtually impossible. To transfer data from the server, they have to wait hours, or even days, depending on their network speeds.
With a data lake in the cloud, slow data transfer is a thing of the past. After migrating your data into a data lake, you can access it quickly—often in real-time. This is ideal for companies that want to implement dashboards and other kinds of business intelligence that require quick data transfer. The AWS Cloud can Transform Your Organization with Data in the Cloud data at speeds of up to 100 Gb per second—which improves network speeds by a factor of between 10 and 100 over most companies’ on-premises systems.
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Transform Your Organization with Data in the Cloud
