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