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Haven 2 0
1.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HPHAVEn BigDataUseCases Mikolaj Nietz, Solution Architect Application Services Global Delivery, Hewlett-Packard
2.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The changing Big Data landscape Human InformationMachine Data Business Data 10% of Information 90% of Information Annual Growth ~100% ~10%
3.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Interact with and process 100% of your data seamlessly Imagine if you could… Transactional data Social media Images AudioVideoMobile Email TextsDocumentsIn-memoryHadoop Standard APIs and tools Dashboards & alerts Business intelligence Your custom appsPackaged apps Ingest Analyze Understand Machine Data Business Data Human Information Open connectors
4.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Big Data Platform HAVEn HAVEn Social media IT/OT ImagesAudioVideo Transactional data Mobile Search engineEmail Texts Catalogue massive volumes of distributed data Hadoop/ HDFS Process and index all information Autonomy IDOL Analyze at extreme scale in real-time Vertica Collect & unify machine data Enterprise Security Powering HP Software + your apps nApps Documents hp.com/Haven
5.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Why HAVEn? Hadoop Autonomy IDOL Vertica Enterprise Security (HP ArcSight) n – a numer of other apps „Safe Haven” = „Bezpieczna Przystań”
6.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP HAVEn/Big Data Reference Architecture Rich-media data Unstructured text data Mixed-structure data Unknown-structure data Semi-structured text data Structured text data ODS EDW Data marts Hadoop HDFS Map Reduce Data integration NotOnly SQL Analytics Operational mgt. Access-in-place Meaning-based analytics (Autonomy IDOL) Autonomy value-add applications BI/ Visualization tools Analytic tools Lightweight ETL Hadoop Extended Tools Access-in-place Indexed metadata Vertica Analytics RDBMS Native analytics UDx extensions R-Functions Access-in-place Indexed metadata WWW
7.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Apache Hadoop Has flexibility to store and mine any type of data • Query previously inaccessible structured and unstructured data • Not bound by single schema Excels at processing complex data • Scale-out architecture divides workloads across multiple nodes • Flexible file system eliminates ETL* bottlenecks Scales economically • Deployable on commodity hardware • Open source platform guards against vendor lock Hadoop Distributed File System (HDFS) Self-healing, high bandwidth clustered storage MapReduce Distributed Computing Framework Open source Linux-based platform for data storage and processing that is… Scalable Fault tolerant Distributed Core HADOOP system components (Workloads) Like Linux, there are several distributions of Hadoop
8.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Autonomy IDOL Social Media Video Audio Email Texts Mobile Transactional Data Documents XML Search Engine Images HP Autonomy IDOL Applications Autonomy Connectors eDiscovery Enterprise Search Media Monitoring Social Media Analytics Decision Support Augmented Reality Partner/ In-house apps HC Analytics Repositories Information Types Apps 500 Functions IDOL Services Multimedia Informatics Enrichment Capture InteractionAnalytics Discovery Concept Clouds Active MatchingVisualization ACA MediaBin Connected LiveVault TRIM AeD Data Protector WorkSite DigitalSafe Connectors … CloudEnterprise IDOL OS for Human Information ERP CRM Database Jive… Image HIS Data Warehouse Hadoop SharePoint
9.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Seamlessly access virtually any enterprise content repository, including file systems, email, or knowledge bases 400+ connectors All data types, all content repositories – unmatched understanding HP Autonomy IDOL platform High-performance human information processing HP Autonomy IDOL Leverage the power of functions like sentiment, categorization, and clustering to deliver intelligence and insight Over 500 functions Process virtually any file type such as text (email, tweet, document), audio, video, and even people profiles & behavior 1,000+ file types Achieve big data scalability and high performance with distributable ingest and query architecture Distributable architecture
10.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Vertica Real Time Analytics Platform Standard SQL Interface Native High Availability Auto Database Design Advanced Compression Column Orientation MPP Massively Parallel Processing Leverages BI, ETL, Hadoop/MapReduce and OLTP investments Automatic setup, optimization, and DB management Built-in redundancy that also speeds up queries Native DB-aware clustering on low-cost x86 Linux nodes Up to 90% space reduction using 12+ algorithms • 10x – 100x performance than classic RDBMS • High scalability from TBs to PBs • Simple integration with existing ETL and BI solutions • Superior performance on off- the-shelf hardware • Ultimate deployment flexibility • 24/7 Load and Query • Flexzone • Very close Hadoop integration • Soon-to-come: Vertica-on- Yarn
11.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Why Hadoop and Vertica are complementary • Designed for Performance • Interactive Analytics • A Rich SQL Ecosystem • Designed for Fault Tolerance • Storage & Batch Processing • A Rich Programming Model Both purpose-built scalable platforms
12.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Gain insight into your data in near-real time by running queries 50x-1,000x faster than legacy products Blazing fast analytics Speed, scalability, and openness at lower TCO HP Vertica Analytics platform High-performance data analytics platform purpose-built for big data HP Vertica Infinitely scale your solution by adding an unlimited number of industry-standard servers Massive scalability Protect and embrace your investment in hardware and software with built-in support for Hadoop, R, and a range of ETL and BI tools Open architecture Store 10x-30x more data per server than row databases with patented columnar compression Optimized data storage
13.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Collect, normalize, and categorize machine data such as logs, events, and flows from any device, any time, anywhere from any vendor 315+ connectors Collect, store, and analyze any machine data across IT HP ArcSight Universal log management platform High-performance universal log management to consolidate machine data across IT HP ArcSight The unified machine data through filtering and parsing is enriched with rich metadata, which allows you to search machine data through simple text-based keywords without the need of domain expertise Search over 1,000,000 events per second The unified data is stored through high compression ratio in any of your existing storage formats, eliminating the need for expensive databases and DBAs Store years’ worth of data Built-in content packs, algorithms, rules, and the unified machine data help you deploy IT security, IT operations, IT GRC, and log analytics Analytics & intelligence
14.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The „n”
15.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Autonomy + Vertica + Tableau + HP Anywhere on Tablet
16.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. German Car Manufacturer Early Warning System Business problem Detect unusual increases in the number of warranty repairs (OT warranty) as soon as they appear. Data analysis problem Detect anomalies (outliers) in time series.
17.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. External Internal German Car Manufacturer Big Data Labs Warranty Repairs Landing Zone Integrated Data Analytical Record Analytical Processing Visualization HP HAVEn Platform Repairs Claims Sales Storage Parts & Production Diagnostics Reference Weather
18.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Global Telecommunication Group Log Analysis Vertica ClusterNFS Hadoop Cluster Log System POC environment Vertica Hadoop Connector JDBC 3 Vertica nodes: • 2x2 core Intel XEON @ 2.7 GHz • 32 GB RAM • 9.7 TB storage Java applications Analytics & Reporting clients
19.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Global Cranes Manufacturer Sensor Data Analysis Remote
20.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Facebook Big Data Architecture for Log Analysis Mobile PC/Laptop Web Servers Logs Hadoop/ HDFS 2 huge Hadoop Clusters • 1.7 ExaBytes • 15000 nodes • 40000 nodes Job Scheduler Vertica Logs 15 mins Hourly Daily Legacy • 600K MR Jobs/day • 50K Informatica Jobs/day
21.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Develop Operate SecureMonetize Govern HAVEn hp.com/haven Thank you!
22.
© Copyright 2013
Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Resources: • www.hp.comhaven • www.vertica.com • www.autonomy.com • www.hortonworks.com • Vertica to try: https://my.vertica.com/?redirect_to=https%3A%2F%2Fmy.vertica.com%2Fdownl oad-community-edition%2F • About HAVEn-on-demand: http://www.datacenterknowledge.com/archives/2014/12/03/hp-launches-big- data-cloud-called-haven-ondemand/
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