Akvelon keeps information aggregates and news publishers competitive, by providing near real-time monitoring of massive amounts of web information. With Akvelon, you get cost-effective web data extraction, integration and automation to drive your information services and offerings. Akvelon provides precision data extraction to insure accuracy and help drive down costs, while commanding high value for the information you provide.
Akvelon’s data governance process is needed to oversee development, implementation, monitoring and maintenance of all standards relating to data. Our data governance structure is formed to ensure that the authority to manage the data is properly delegated.
Akvelon’s governance management team outlines the cause and effect of poor data in the organization. With this knowledge, we can develop solutions to the problems and adopt a means to monitor and evaluate the implementation of those solutions.
Our data governance management team consists of business and IT associates whose common goals are to ensure the data’s quality, integrity and usability.
Our Data Stewards create standard definitions for data; establishes authority to create, read, update and delete data; ensures consistent and appropriate usage of data; provides subject matter expertise in the resolution of data issues; educates developers and end users on the data standards and the importance of data quality; and ensures data compliance via project development and problem resolution.
There are three distinct types of data stewards:
An all-round big data integration offering will enable you to input, output, manipulate and report on data using Hadoop and NoSQL stores, including: Apache Cassandra, Hadoop HDFS, Apache Hive, Apache HBase and MongoDB.
Akvelon’s Big Data Integration Solutions provide easy job orchestration across Hadoop, Amazon EMR, MapReduce, Pig scripts, NoSQL databases and traditional data stores.
Finally, for Hadoop, we run in-Hadoop as MapReduce, leveraging your investment in Hadoop’s massively parallel distributed data storage and processing across the cluster.