Big Data Management
Datameer provides robust, enterprise grade data management capabilities. Easy to setup (no programming) with flexible integration points to manage data flow dependencies.
Your organization's data hub
Import, export, data links
When it comes to big data management, Datameer is ideal as the general purpose data hub for an organization. Datameer includes a wide set of data connectors to import data into HDFS, as well as export data to external sources. It uses the full power of the underlying server or cluster environment including distributing the loading process to reach terabyte/second throughput. Datameer provides a fine-grain configuration of scheduling and throttling to make sure data loading does not max out data sources. Concepts like publish/subscribe are easy to implement and monitor. Orchestrate from the outside via the REST API.
Manage data from megabytes to petabytes
Datameer & HDFS; storage, data partitioning
Easily manage data storage in HDFS whether it’s a desktop, single server, or large Hadoop cluster implementation. A wide set of file systems are supported. From local file systems in the Personal & Workgroup Editions to purpose-built, distributed file systems like HDF over S3 to GFS. Big Data management in Datameer means you can store data in a folder in the Hadoop Environment or on a local hard drive. The data is put in a Sequence File format, optimized for performance, and with extended support of data types. Datameer allows flexible partitioning of the data to ensure it is easy to work with very large amounts of data and analyze subsets.
Algorithms that help optimize hardware to Manage Data
Get the most out of your hardware investment. Datameer optimizes both storage and data throughput. A wide range of compression algorithms allow users to select between high compression, for long-time data storage, or optimize for data throughput. It is possible to mix and match compressions used for different data sets within the system, providing unlimited flexibility. Datameer enables compressing stored data as well as the import and export of compressed data sets. Loading gzip compressed log files is a point and click operation.
Manage your own data retention
Manage data retention policy with Datameer's flexible data retirement rules. For each imported data set, an individual set of rules can be configured. It is easy to configure both keeping data permanently, or cleaning records that are older than a specific time window. Security rules allow retired data to be either instantly removed, retained until a specified time, or manually removed after system administrator approval.
Big Data in Financial Services
Big Data in Healthcare
Big Data in Technology
Big Data in Telecommunications
Big Data for Customer Analytics
Data-driven Products and Services
Fraud and Compliance
Enterprise Data Warehouse
Big Data for Operational Analytics
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