Appfluent - Transforming the Economics of Big Data
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Appfluent provides IT organizations with enhanced visibility into big data systems to lower costs and optimize performance across various platforms, including Hadoop and traditional data warehouses. Its capabilities include monitoring data usage, identifying resource-consuming workloads, and auditing user activity to improve efficiency and facilitate informed infrastructure investments. The solution also integrates with business intelligence applications, allowing users to optimize database performance and address potential bottlenecks effectively.
![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 ]](https://image.slidesharecdn.com/appfluentoverviewbrochure2014-140509085508-phpapp01/85/Appfluent-Transforming-the-Economics-of-Big-Data-2-320.jpg)
Appfluent - Transforming the Economics of Big Data
- 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