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.

1. 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

2. 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 Administration
USER ACTIVITY MONITORING DATA USAGE ANALYSIS WORKLOAD PERFORMANCE
OFFLOAD OPTIMIZE AUDIT
[ TRENDS ANALYTICS REPORTS ALERTS ]

3. Enterprise Data
Administration
Offload 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.
Appfluent Visibility for Enterprise
Data Warehouse Platforms
Appfluent 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

4. About Appfluent
Appfluent 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.
Appfluent Visibility for Hadoop
Hadoop 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