appfluent - transforming the economics of big data
DESCRIPTION
Appfluent enables Enterprise Data Administration by providing IT organizations with unprecedented visibility into their Big Data systems to reduce costs and optimize performance. Appfluent is the only solution that provides detailed insight into business activity, data usage and resource consumption across heterogeneous analytic data platforms including Teradata, Oracle Exadata, IBM DB2, IBM® PureData™ for Analytics powered by Netezza and Hadoop.TRANSCRIPT
Appfluent enables Enterprise Data Administration
by providing IT organizations with unprecedented
visibility into their Big Data systems to reduce costs
and optimize performance. Appfluent is the only
solution that provides detailed insight into business
activity, data usage and resource consumption across
heterogeneous analytic data platforms including
Teradata, Oracle Exadata, IBM DB2, IBM® PureData™
for Analytics powered by Netezza and Hadoop.
Product Overview
Appfluent Visibility –Transforming the Economics of Big Data
Offload
• Assess data usage and resource consumption by type of workload
• Identify resource consuming ETL/ELT workloads to offload to Hadoop or other platforms
• Discover unused or dormant data that is unnecessarily loaded, stored and maintained
• View history of specific large tables not queried to archive to Hadoop
• Pinpoint application workloads that are candidates to offload to Hadoop
Optimize
• Identify BI application users who severely impact databases with ad-hoc reports
• Find problem queries, isolate their sources, including BI users and reports responsible
• Identify data most frequently used by the business and applications to determine impact
• Find frequently used data associated with problem SQL and assess the impact of frequent operations on performance
• Discover repetitive and frequent operations that cause bottlenecks
• Utilize built in notifcations for reports on user activity and query performance metrics
• Deliver factual usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and address bottlenecks
Audit
• Measure activity volume and amount of data used by business units and departments
• Deliver factual data usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and prioritize projects
• Identify users that access specific database tables and/or columns including query frequency and number of records accessed
• Track applications that access specific data and identify query frequency and records accessed
• Analyze context of user activity by identifying specific SQL statements associated with sensitive data
• Utilize built-in notifications for reports on user activity related to specific data that exceed specified thresholds
• Track and report on activity volume and amount of data retrieved from sensitive databases by business units
The Appfluent Approach
Appfluent empowers organizations to effectively:
Appfluent Visibility for Enterprise Data Warehouse PlatformsAppfluent Visibility can be configured to monitor multiple data warehouse systems including Teradata, Oracle Exadata, IBM DB2, IBM® PureData™ for Analytics powered by Netezza and Hadoop.
Appfluent Visibility ties users and application activity to data usage and performance metrics of data warehouses. The product continuously collects, stores, and analyzes all queries generated by end users and applications against data warehouses without disruption. Queries are correlated with data usage and database performance metrics in a centralized Appfluent Repository. A Web Application provides detailed and comprehensive usage and performance metrics for the entire data warehouse.
Key Features
• Monitor all application activity on databases to assess resource consuming ETL (Extract/Transform/ Load) and analytical workloads
• Identifiy resource consuming ETL transformations that are candidates for offloading to Hadoop (or other platforms)
• Discover and identify unused and infrequently used databases, schemas, tables and columns
• Identifiy data used from large tables by analyzing calendar dates used in queries
• Integrate with leading Business Intelligence applications to correlate application users’ and report activity with usage and database performance
• Determine frequently used data and its impact on database performance for optimization
• Proactively alert on activity and performance levels exceeding pre-set thresholds
Appfluent Visibility for HadoopHadoop is becoming a critical platform in the enterprise data delivery ecosystem. Hadoop is an extension of the existing data warehouse systems. Appfluent provides unprecedented insight into activity and performance with an integrated view across Hadoop and legacy data warehouse platforms.
Appfluent Visibility for Enterprise Data Administration
USER ACTIVITY MONITORING DATA USAGE ANALYSIS WORKLOAD PERFORMANCE
OFFLOAD OPTIMIZE AUDIT
[ TRENDS ANALYTICS REPORTS ALERTS ]
Enterprise Data AdministrationOffload data and workloads to the right platform by analyzing data usage and workload patterns.
Optimize heterogeneous data delivery systems with a single view across platforms to diagnose and assess performance bottlenecks.
Audit the usage and utilization of information assets across platforms to make smarter infrastructure investments.
Key Capabilities
Appfluent Visibility™ provides intelligence allowing customers to identify the most expensive processing, transformations and dormant data —all ideal candidates for Hadoop and in-depth details on how data is used, who is accessing it and ways to improve performance.
Offload
• Assess data usage and resource consumption by type of workload
• Identify resource consuming ETL/ELT workloads to offload to Hadoop or other platforms
• Discover unused or dormant data that is unnecessarily loaded, stored and maintained
• View history of specific large tables not queried to archive to Hadoop
• Pinpoint application workloads that are candidates to offload to Hadoop
Optimize
• Identify BI application users who severely impact databases with ad-hoc reports
• Find problem queries, isolate their sources, including BI users and reports responsible
• Identify data most frequently used by the business and applications to determine impact
• Find frequently used data associated with problem SQL and assess the impact of frequent operations on performance
• Discover repetitive and frequent operations that cause bottlenecks
• Utilize built in notifcations for reports on user activity and query performance metrics
• Deliver factual usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and address bottlenecks
Audit
• Measure activity volume and amount of data used by business units and departments
• Deliver factual data usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and prioritize projects
• Identify users that access specific database tables and/or columns including query frequency and number of records accessed
• Track applications that access specific data and identify query frequency and records accessed
• Analyze context of user activity by identifying specific SQL statements associated with sensitive data
• Utilize built-in notifications for reports on user activity related to specific data that exceed specified thresholds
• Track and report on activity volume and amount of data retrieved from sensitive databases by business units
Appfluent Visibility for Enterprise Data Warehouse PlatformsAppfluent Visibility can be configured to monitor multiple data warehouse systems including Teradata, Oracle Exadata, IBM DB2, IBM® PureData™ for Analytics powered by Netezza and Hadoop.
Appfluent Visibility ties users and application activity to data usage and performance metrics of data warehouses. The product continuously collects, stores, and analyzes all queries generated by end users and applications against data warehouses without disruption. Queries are correlated with data usage and database performance metrics in a centralized Appfluent Repository. A Web Application provides detailed and comprehensive usage and performance metrics for the entire data warehouse.
Key Features
• Monitor all application activity on databases to assess resource consuming ETL (Extract/Transform/ Load) and analytical workloads
• Identifiy resource consuming ETL transformations that are candidates for offloading to Hadoop (or other platforms)
• Discover and identify unused and infrequently used databases, schemas, tables and columns
• Identifiy data used from large tables by analyzing calendar dates used in queries
• Integrate with leading Business Intelligence applications to correlate application users’ and report activity with usage and database performance
• Determine frequently used data and its impact on database performance for optimization
• Proactively alert on activity and performance levels exceeding pre-set thresholds
Appfluent Visibility for HadoopHadoop is becoming a critical platform in the enterprise data delivery ecosystem. Hadoop is an extension of the existing data warehouse systems. Appfluent provides unprecedented insight into activity and performance with an integrated view across Hadoop and legacy data warehouse platforms.
About AppfluentAppfluent provides IT organizations
with unprecedented visibility into
their Big Data systems to reduce
costs and optimize performance.
Appfluent helps companies put the
right workload on the right system,
across data warehouses, business
intelligence, and Hadoop. By seeing
every analytic and Extract, Trans-
form and Load (ETL) that against Big
Data, Appfluent can identify areas
where expensive storage and
compute is wasted. With Appfluent,
enterprises can address exploding
data growth with confidence,
proactively manage performance of
BI and data warehouse systems, and
realize the tremendous economies
of Hadoop.
Offload
• Assess data usage and resource consumption by type of workload
• Identify resource consuming ETL/ELT workloads to offload to Hadoop or other platforms
• Discover unused or dormant data that is unnecessarily loaded, stored and maintained
• View history of specific large tables not queried to archive to Hadoop
• Pinpoint application workloads that are candidates to offload to Hadoop
Optimize
• Identify BI application users who severely impact databases with ad-hoc reports
• Find problem queries, isolate their sources, including BI users and reports responsible
• Identify data most frequently used by the business and applications to determine impact
• Find frequently used data associated with problem SQL and assess the impact of frequent operations on performance
• Discover repetitive and frequent operations that cause bottlenecks
• Utilize built in notifcations for reports on user activity and query performance metrics
• Deliver factual usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and address bottlenecks
Audit
• Measure activity volume and amount of data used by business units and departments
• Deliver factual data usage metrics to business sponsors via pre-built analytics and dashboards to facilitate collaboration and prioritize projects
• Identify users that access specific database tables and/or columns including query frequency and number of records accessed
• Track applications that access specific data and identify query frequency and records accessed
• Analyze context of user activity by identifying specific SQL statements associated with sensitive data
• Utilize built-in notifications for reports on user activity related to specific data that exceed specified thresholds
• Track and report on activity volume and amount of data retrieved from sensitive databases by business units
Appfluent Visibility for Enterprise Data Warehouse PlatformsAppfluent Visibility can be configured to monitor multiple data warehouse systems including Teradata, Oracle Exadata, IBM DB2, IBM® PureData™ for Analytics powered by Netezza and Hadoop.
Appfluent Visibility ties users and application activity to data usage and performance metrics of data warehouses. The product continuously collects, stores, and analyzes all queries generated by end users and applications against data warehouses without disruption. Queries are correlated with data usage and database performance metrics in a centralized Appfluent Repository. A Web Application provides detailed and comprehensive usage and performance metrics for the entire data warehouse.
Key Features
• Monitor all application activity on databases to assess resource consuming ETL (Extract/Transform/ Load) and analytical workloads
• Identifiy resource consuming ETL transformations that are candidates for offloading to Hadoop (or other platforms)
• Discover and identify unused and infrequently used databases, schemas, tables and columns
• Identifiy data used from large tables by analyzing calendar dates used in queries
• Integrate with leading Business Intelligence applications to correlate application users’ and report activity with usage and database performance
• Determine frequently used data and its impact on database performance for optimization
• Proactively alert on activity and performance levels exceeding pre-set thresholds
Appfluent Visibility for HadoopHadoop is becoming a critical platform in the enterprise data delivery ecosystem. Hadoop is an extension of the existing data warehouse systems. Appfluent provides unprecedented insight into activity and performance with an integrated view across Hadoop and legacy data warehouse platforms.
6001 Montrose Road, Suite 1000
Rockville MD 20852 USA
301-770-2888
www.appfluent.com
Key Features:
• Correlate activity across applications, MapReduce jobs, HiveQL statements databases and tables used via an intuitive point-click user interface
• Detect problematic user activity, HiveQL and MapReduce jobs exceeding acceptable performance metrics to proactively address bottlenecks
• Drill down on HiveQL queries and statements to associated MapReduce jobs, and the reverse to diagnose performance issues
• Compare activity and performance metrics of two or more MapReduce jobs to isolate variances in resource consumption and diagnose bottlenecks
• Analyze application activity and resource consumption by business units and data sets accessed in Hadoop to guide optimization and capacity planning
• Report on activity, performance, resource consumption and data usage via dashboard templates