Loading dimension and fact tables and simple reporting
Simple transformation using lookups and filtering
Parsing Apache logs using CloverETL and Hadoop
Using CloverETL to detect suspicious transactions
CloverETL using WebServiceClient to get contact data from Salesforce.com
Using file operations in a jobflow to move files through the process
CloverETL Data Profiler helps analyze data before the actuall processing
Using EmailFilter - an advanced data quality component - to validate e-mail addresses
Executing external utility on files to get MD5 signatures
Any time you would integrate data from disparate sources to provide a unified view or bring together data from databases, Excel sheets, text files, and apply complex business logic to them, data integration plays an important role.
Implementation of a new system doesn't end with its deployment. The elaborate process of data migration ensures that all business data are safely transferred from a legacy system to the new one.
If your essential business data are incapable of being extracted from your current computing structure, then data warehousing can provide you a helpful toolset for strategic business planning or trending.
With data serving as the basis for making important decisions, poor quality of data can have profound negative effects on your business. Data cleansing can rectify incorrect, missing, or duplicated data that affects the perceived quality and reliability of your business.
Having valid and correctly formatted mailing addresses not only reduces your overhead costs, but also improves the success of your communication. This can be achieved through address standardization, geocoding, and transliteration.
Test drive these examples in our 45-day trial of the CloverETL Designer and Server.
For many companies CloverETL's ease of use is what draws them in.
One Canadian customer in particular chose CloverETL to manage a major element of its website data management. They were relieved to find that with CloverETL, it only took thirty seconds to manage the data transformation from their legacy system to their website—when it used to take three hours.
CloverETL addresses many of the challenges faced by growing IT operations. CloverETL can connect to and parse data from many sources, such as reading and writing to Lotus Domino. It's often the right package in terms of price and runtime production sizing.
CloverETL combines flexibility and power, making it ideal for many MDM customers.
"CloverETL has been a powerful data integration software core that enables quicker project implementation and faster performance. With a low cost buy-in and a scalable architecture, it represents the best value in the market today in the growing Business Intelligence arena," said a customer with ever-evolving MDM requirements.
Typical ETL software could not get the job done: it did not provide the flexibility or extensibility needed to embed into a wider offer. The company needed Clover, an application that would extract, transform, and load data between their platform and external systems, simplifying implementation and enhancing the end-user experience.
In emerging Latin American markets, CloverETL became a strong OEM partner.
"We chose CloverETL because it is perfect fit for us as we craft solutions in data. Customers now want a combination of best-of-breed ETL to drive and work with other data tools. Clover brings out the best in what we offer, fitting our strategies in address validation, data cleansing, and data profiling," said our latest partner.
To many of our OEM customers, Clover represents the future architecture of data with agile solutions at a great price.
June 30, 2014
Embedded data integration platform
If you are a solution provider for Business Intelligence, Master Data Management or any other data dependent, you can greatly benefit from implementing the CloverETL OEM Foundation which gives you an industry-standard data integration layer as part of your offering.