Progress Software Corporation · NASDAQ:PRGS
Progress Software — Technical Presentation (June 2017)
45 slides from Progress Software's technical presentation, Jun 7, 2017
Slide 1: Frictionless Hybrid Data Access for Clouds
Frictionless Hybrid Data Access for Clouds Greg Stasko, Principal Sales Engineer for Alliances - Progress DataDirect Rik Tamm Daniels, VP Technology and Partnerships - Paxata
Slide 2: Audio Bridge Options & Question Submission
Audio Bridge Options & Question Submission 2 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 3: Frictionless Hybrid Data Access for Clouds
Frictionless Hybrid Data Access for Clouds Greg Stasko, Principal Sales Engineer for Alliances - Progress DataDirect Rik Tamm Daniels, VP Technology and Partnerships - Paxata
Slide 4: During this webinar, you’ll learn
During this webinar, you’ll learn: § Hybrid data access patterns for cloud applications § Common approaches to accessing business data behind the firewall § Overview of Hybrid Data Pipeline, a cloud-independent data gateway for cloud ISVs § How customers can access on-premises data using the cloud v
Slide 5: Hybrid data access patterns for cloud applications
Hybrid data access patterns for cloud applications 5 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 6: Evolution of deployment from O/S to Cloud Infrastructure
Evolution of deployment from O/S to Cloud Infrastructure (1200 survey respondents) Other popular responses Linode Pironet Redhat OpenShift OpenStack Cloud Share Thomson Reuters Elektron SAP HANA Claro Cloud 6 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights rese
Slide 7: Popular Relational/Analytics Data Sources
SQL Server 18.70% Popular Relational/Analytics Oracle 12.89% Data Sources (1200 survey respondents) MySQL 12.77% Progress OpenEdge 7.93% PostgreSQL 5.65% Microsoft SQL Azure 5.27% IBM DB2 4.76% SQLite 3.68% Teradata 2.61% SAP HANA 2.30% MariaDB 2.25% Sybase ASE 1.92% Amazon Redshift 1.79% Informix 1
Slide 8: Popular Big Data Sources
Popular Big Data Sources (1200 survey respondents) Hadoop Hive 18.53% Spark SQL 8.17% Hortonworks 7.97% Cloudera CDH 7.87% Cloudera Impala 7.47% Apache Solr 7.37% Oracle BDA 6.67% Amazon EMR 5.98% Apache Sqoop 5.48% MapR 5.38% IBM BigInsights 4.68% Apache Storm 4.08% Apache Drill 2.39% Apache Phoeni
Slide 9: Popular NoSQL Sources
Popular NoSQL Sources (1200 survey respondents) MongoDB 35.60% Cassandra 14.57% HBase 10.34% Oracle NoSQL 9.01% Redis 8.45% Other (please specify): 6.01% Couchbase 5.78% DynamoDB 2.78% DataStax Enterprise 2.22% SimpleDB 2.22% MarkLogic 1.67% Aerospike 0.78% Riak 0.56% 9 © 2016 Progress Software Corp
Slide 10: Poll #1a: On-premises databases to access from cloud
POLL #1a § What On-premises databases do you see value in accessing from Cloud [multiple selections]? § Oracle § SQL Server § IBM DB2 § PostgreSQL § MySQL 10 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 11: Poll #1b: On-premises databases to access from cloud
POLL #1b § What On-premises databases do you see value in accessing from Cloud [multiple selections]? § Netezza § Teradata § Vertica § Greenplum § Hadoop Hive (all distributions) 11 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 12: Poll #1c: On-premises databases to access from cloud
POLL #1c § What On-premises databases do you see value in accessing from Cloud [multiple selections]? § MongoDB § Cassandra § HBase § Spark SQL § Other [Please enter] 12 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 13: Scenario 1: Cloud analytics with on-premises data marts
Scenario 1: Cloud analytics with on-premises data marts Business Intelligence (BI) and Corporate Performance Management (CPM) software vendor known for its BOARD toolkit. “BOARD’s first customer to leverage the connector was a fashion retailer in Belgium, with more than 125 shops in Belgium and Luxe
Slide 14: Scenario 2: SaaS CRM Integration with legacy systems
Scenario 2: SaaS CRM Integration with legacy systems Intuit develops financial and tax preparation software and related services for small businesses, accountants and individuals. “I wanted to know about implementation complexity. Lekhter told me that each rollout to a new user group took only a wee
Slide 15: Scenario 3: Hybrid Data Management with SaaS sources
Scenario 3: Hybrid Data Management with SaaS sources Result: Chatham Financial today has a data warehouse that meets stringent security standards, did not require internal resources to develop and deployed months faster when compared to using multiple vendors or building a custom solution. With the
Slide 16: Scenario 4: ERP moving to cloud requiring open analytics
Scenario 4: ERP moving to cloud requiring open analytics A leading global provider of enterprise software and information solutions migrated their business applications to the cloud, but end customers lost the ability to access data for reporting and analytics making the cloud unattractive Connectiv
Slide 17: Common approaches to accessing business data behind the firewall
Common approaches to accessing business data behind the firewall 17 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 18: Moving workloads to the cloud makes data access harder
Moving workloads to the cloud makes it much more difficult to provide users with secure yet simple access to data Locked behind other clouds Locked behind the firewall 18 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 19: There is no standard for accessing data behind a firewall
There is no standard for accessing data behind a firewall! 1. Network-Based VPN (Cloud-specific) 3. Reverse Proxy Servers 2. SSH Tunneling 19 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 20: Firewall Becoming Barrier for Hybrid Data Tech Adoption
Firewall Becoming Barrier for Hybrid Data Tech Adoption Source: The 2017 State of the Firewall” produced by Firemon 20 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 21: Hybrid Data Pipeline – a cloud-agnostic data gateway for cloud ISVs
Hybrid Data Pipeline – a cloud-agnostic data gateway for cloud ISVs 21 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 22: Progress DataDirect Hybrid Data Pipeline
Progress® DataDirect® Hybrid Data Pipeline™ Completely transform the way cloud apps access data Progress® DataDirect® Hybrid Data Pipeline is the industry’s first hybrid data pipeline that can run independently and integrate with any single or multi- vendor technology stack, enabling data access via
Slide 23: What are the pieces of the Hybrid Data Pipeline?
What are the pieces of the Hybrid Data Pipeline? Clients Hybrid Data Pipeline On-Premises Connector Built-In Connectors ODBC driver Server (optional) All DataDirect JDBC JDBC driver One or more servers, Installs in or near the on- drivers shipped in the box* Tomcat-based premises data sources to ODa
Slide 24: Engineered from the Award-Winning DataDirect Cloud Service
Engineered from the Award-Winning DataDirect Cloud Service • Hybrid Data Pipeline is an evolution of the DataDirect Cloud service • Released in 2014 • 10,000+ users in production 24 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 25: How Hybrid Data Pipeline works
How Hybrid Data Pipeline works
Slide 26: Install Hybrid Data Pipeline
Install Hybrid Data Pipeline 26 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 27: Configure On-Premises Connector
Configure On-Premises Connector (Only required when accessing data behind a firewall) “Firewall-friendly”, yet still secure connection without network reconfiguration or a requirement to open any ports 27 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved
Slide 28: Configure the Data Source(s)
Configure the Data Source(s) 28 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 29: Configure your data source(s)
Configure your data source(s) 29 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 30: Cloud applications access data using SQL or REST (OData)
Cloud-resident applications access data directly using SQL (ODBC or JDBC) or REST (Odata) All data is encrypted in transit and data is not persisted in the pipeline 30 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 31: Supported Data Sources for Hybrid Data Pipeline 4.1
Supported Data Sources for Hybrid Data Pipeline 4.1 Apache Hadoop Hive 0.8.0 and higher* Microsoft SQL Server 2014* Amazon EMR 2.1.4 and higher Microsoft SQL Server 2012 Amazon Redshift Microsoft SQL Server 2008 R1, R2 Apache Spark SQL 1.2, 1.3, 1.4, 1.5 Microsoft SQL Server 2005 Cloudera CDH update
Slide 32: Planned Data Source Changes for 4.2
Planned Data Source Changes for 4.2 (Safe Harbor – subject to change) BRING YOUR OWN JDBC DRIVER! HPE Vertica IBM Netezza Denodo HPE Nonstop IBM BigSQL Rocket DVS Microsoft Parallel Data Microsoft Azure Data Google BigQuery Warehouse Warehouse Teradata SAP Sybase IQ SAP Hana SAS EnterpriseDB Others…
Slide 33: Accessing on-premises data from Paxata's cloud data preparation platform
How customers can access on- premises data using the cloud version of Paxata's self-service data preparation platform. 33 © 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.
Slide 34: Make Every Business an Information Inspired Business
Make Every Business an Information Inspired Business™ © Paxata, Inc. June 6 7, 2017 34
Slide 35: Today, IT wants to empower a data-driven organization
Today, IT wants to empower a data-driven organization And there is no shortage of data Proliferation of data
Slide 36: Thirst for data: Data Analysts want data freedom
Thirst for data Data Analysts want data freedom They have tools for every analytic use case Proliferation of data
Slide 37: Enterprises spend up to 80% of time preparing data
Analytic tools The truth is… Enterprises spend up to 80% of time preparing data… Data management
Slide 38: The Modern Architecture: Balancing Freedom with Responsibility
The Modern Architecture: Balancing Freedom with Responsibility The Business Analyst teams get access to the data they need when … and IT maintains they need it governance and enables access to raw data Collect and manage data IT Time
Slide 39: Paxata Platform Architecture
Paxata Platform Architecture • Multi-cloud, hybrid architectures are becoming the norm • Connectivity to sources of data is a critical capability
Slide 40: Elastic Information Fabric For the Hybrid, Multi-Cloud World
Elastic Information Fabric For the Hybrid, Multi-Cloud World Business Intelligent Consumers Systems On Premises Datacenter(s) Paxata Confidential 40
Slide 41: Top Cloud-Based Use Cases and Data Needs
Top Cloud-Based Use Cases and Data Needs Loyalty Supply Chain Analytics Life Sciences Research Analytics/Customer 360 • CRM • IoT data • Clinical Trial site data • Customer Surveys • 3rd-party Supplier Data • Public Data Services • Transactional Data • ERP data (PubMed, • Loyalty Management Clinical
Slide 42: How Paxata Cloud and Progress DataDirect Cloud Work Together
How Paxata Cloud and Progress DataDirect Cloud Work Together Paxata Paxata Connect Self-service Connectivity and Data Preparation © Paxata, Inc. June 7, 2017 42
Slide 43: Learn More about Progress DataDirect Hybrid Connectivity
Learn More about Progress DataDirect Hybrid Connectivity https://prgress.co/hybrid Firewall Friendly Connectivity Single Interface to Cloud Data Sources Around the web: Around the web: Salesforce Developers guide to hybrid connectivity First ever OData NLP Hackathon with Silicon Valley startups Prog
Slide 44: Questions?
Questions?
Slide 45: Dv Progress’
Dv Progress’
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