A survey carried out by an US-based data integration company involving 200 business intelligence professionals finds that 51 percent of them are ‘strongly considering’ moving all ETL processes to the cloud.
While many organizations are still relying heavily on existing on-premise IT for ETL, the desire to shift to a more cloud-based model is growing stronger.
Cloud ETL offers a host of benefits over on-premise, from increased agility in resource deployment to reduced costs. As such, the cloud is an increasingly attractive option from both a performance and operational perspective.
Biggest Challenges :
The study also reveals that the biggest challenges were in making data ready for analysis.
Over 55% say integrating data from different platforms, followed by transforming, cleansing and formatting incoming data (39%), integrating relational and non-relational data (32%), and the sheer volume of data that needs to be managed (21%) at any given time.
As a business manager you should be more concerned about the information rather than making the data ready for analysis. To know how Karya can drastically reduce your data burden, please mail us at email@example.com
While Extract-Transform-Load (ETL) technology allows for a seamless integration of information from various sources, it has its own set of challenges when it involves cloud. The biggest part of the challenge is ‘security’.
It would be more pertinent to ask where should the ETL tool sit in relation to the data warehouse. Just like how the data can reside onsite (on-premise) or in the cloud, ETL tool can also reside onsite or in the cloud. Irrespective of the fact where it is located, it has to work well with the Business Intelligence platform, which again may exist onsite or in the cloud.
Assuming the data warehouse, BI and ETL are all deployed and floating, then the ETL tool would also exist as a cloud service.
Security in the cloud
Though the job of securing the data may not be the responsibility of the business that uses the cloud service, the link from database to database over IP may pose some worry. We definitely need to secure the most sensitive data using the best encryption methods.
ETL tools are not built to scale. The right tool depends entirely on the infrastructure that’s using it. ETL also involves a great deal of network sophistication. When the complexity of the enterprise BI increases, the ETL tool has to quickly scale up to meet the requirements of the organization.
A weak ETL tool or a bad setup can wreak havoc on consistency and reliability of extracted and loaded data. Once again, if the ETL is hosted in the cloud, there are certain complexities and issues that come along with it. ETL tools, depending on their engines, can handle both small and big data. Choosing the ‘right’ service provider for implementing ETL securely into your process would be the first step for any organization. With an experienced systems implementation partner like Karya, which follows safe and secure practices, you can be rest assured.
To learn how to run data processing and ETL on the cloud quickly from Karya, email us at firstname.lastname@example.org