1.Support the management of a single cluster scale (more than 1000 servers);

2.Platform inquiry engine can support SQL syntax;

3.Built-in package multiple languages algorithm, and compatible with R and Python languages;

4.Flow computing engine, data processing latency is less than 2 seconds, supports multiple data sources, such as file system, Socket, Kafka, Flume, etc.;

5.Database support JDBC/ODBC connection, secondary index technology, and full text indexing technology;

6.Support unified management, monitoring, deployment and maintenance Hadoop integrated management platform, supports Hadoop cluster installation by guide;

7.Support on-demand component expansion to realize unified management; components include: HDFS, MapReduce2, YARN, Hive, HBase, Sqoop, ZooKeeper, Storm, Flume, Kafka, Spark and so on;

8.Cluster online expansion, it can well meet cluster expansion needs due to the growing data volumes, and it does not affect application access after the online expansion;

9.Support O&M, inspection and implementation of components, to collect data of components and host running indexes, and show the running status through the chart, and it can automatically collect metrics, support system alarm and reminder;

10.Installed with (Kerberos) security Hadoop cluster, to realize the Hadoop security, provide role-based user authentication, authorization, and audit functions，it also can integrate LDAP and Active Directory for user;

11.Provide WEB based management platform, which can facilitate daily O&M management of the Hadoop cluster, Cluster performance and resource utilization optimization, can quickly locate and troubleshoot general problems;

12.Open platform architecture, according to the technological advancement, it can add and replace new components.

Government Affairs

FitData big data platform can help the government open the information sharing channel among the departments, create the government affairs public data cluster, dig government data resources value, improve the governance efficiency and level, and provide support for data opening and public decision-making.

1.Integrate government resources, create public data cluster;

2.Improve public service efficiency;

3.Improve the utilization of data resources;

4.Improve government the management and decision-making capabilities.

Operator

In the continuous development of market, technology and supervision, service providers are one of the largest data aggregators. Operators can safely synchronize the data from users, network, equipment, business and social, and improve user stickiness and accelerate product innovation.

1.Analysis call detail record (CDR);

2.User loss prediction;

3.Improve the service transmission infrastructure actively;

4.Rationalize infrastructure resources distribution;

5.Develop the new products and services

1.Architecture security, based on open source Hadoop technical system, customized and enhanced functions making it better than Hadoop, the platform is more stable and reliable;

2.Secure and trusted, effectively support enterprise core business data processing and analysis;Data processing capacity is above PB magnitude. Support the Kerberos security authentication, LDAP Account management control and data encryption;

3.3. High reliability, support disaster recovery, fault tolerant, backup and load balancing. Efficient data batch processing, real time data processing capacity;

4.Provide comprehensive data access, heterogeneous data storage, data analysis, data visualization and other service, help customers to build one-stop big data application analysis system;

5.Open compatible, the platform supports secondary development, and has wide adaptability to support heterogeneous data sources. And has external capacity to achieve big data open, unified output algorithm, analysis, application and other service capabilities.

6.Supports linear expansion of storage nodes, compute nodes, management node; the platform can run on general X86 servers;

7.Unified operation and management, the platform supports one-stop installation, deployment and monitoring, reduce installation deployment, O&M costs;

1.Secure and reliable: Multiple copy design, multiple node redundancy and load ensures system safety;

2.High throughput and low latency: Products provide parallel computing architecture, support data batching and real-time processing;

3.Huge amounts of heterogeneous data: Support structured and unstructured, pictures, video and other government and spatiotemporal data storing and query；

4.Efficient and Intelligent: Product adopts the multilayer distributed architecture data modeling mechanism, querying in second level;

5.Simple to use: Operate through the graphical interface, reduces the usage requirements;

6.Support multiple languages: Adopts Restful model, and supports multiple languages;

7.Our technical experts can share their experience through the solutions and products, and provide business consulting and technical support for big data applications.