The Modern Data Architecture, Applied

Use Cases for Apache Hadoop + Your Existing Technologies = Real Value in the Enterprise
Extracting insight from your machines, or customer sentiment data or any number of scenarios related to big data demands the integration of Hadoop into your data architecture to efficiently handle those new opportunities alongside the existing workloads.
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Upcoming Webinars

Webinars need to be tagged with the ‘Modern Data Architecture’ category in order to appear on this page.
Coming Next :
Wednesday, October 29, 2014

Big Data Virtual Meetup Chennai

9:00 pm India Time / 8:30 am Pacific Time / 4:30 pm Europe Time (Paris)
Big Data is moving to the next level of maturity and it’s all about the applications. Dhruv Kumar, one of the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, will discuss how Cascading can enable developers to accelerate the time to market for their data applications, from development to production. In this session, Dhruv will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Hadoop and Hortonworks Data Platform. He will also explain the growth behind Cascading and talk about Cascading’s future with Tez. Join us at 8:30 am Pacific time or 9:00 pm India time October 29, 2014.
Wednesday, October 29, 2014

Create a Smarter Data Lake with HP IDOL and Apache Hadoop

1:00 PM Eastern / 10:00 AM Pacific
The Smart Content Hub solution from HP and Hortonworks enables a shared content infrastructure that transparently synchronizes information with existing systems and offers an open standards-based platform for deep analysis and data monetization. Join this webinar and learn how you can: 1/ Leverage a 100% of your data, including text, images, audio, video, and many more data types are automatically consumed and enriched using HP IDOL. 2/ Democratize and enable multi-dimensional content analysis and empower your analysts, business users, and data scientists to search and analyze Hadoop data with ease. 3/ Extend the enterprise data warehouse to synchronize and manage content from content management systems, and crack open the files in whatever format they happen to be in.
Thursday, October 30, 2014

Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Earlier this year, the open source community delivered the Stinger Initiative to improve speed, scale and SQL semantics in Apache Hive. Now is underway, to build on those initial successes.

Join this 30-minute webinar with Hortonworks co-founder Alan Gates and Hortonworks Hive product manager Raj Baines. Alan and Raj will discuss SQL queries in HDP 2.2: ACID transactions and the cost based optimizer. They will also talk about the road ahead for the initiative. As always, we’ll leave time for questions at the end.
Wednesday, November 5, 2014

Combine SAS High-Performance Capabilities with Hadoop YARN

10:00 AM Pacific / 1:00 PM Eastern / 6:00 PM UK
What if you could assemble all your data in one system and run your critical analytic applications in parallel, regardless of the format, age or location of the data? Today, thanks to the economics of Apache Hadoop-based data platforms, in particular YARN, this is possible. Join this webinar and hear directly from our experts how SAS HPA and LASR have been integrated with Hadoop YARN.
Thursday, November 6, 2014

Discover HDP 2.2: Apache Falcon for Hadoop Data Governance

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Hortonworks Data Platform 2.2 includes Apache Falcon for Hadoop data governance. In this 30-minute webinar, we'll discuss why the enterprise needs Falcon for governance, and demonstrate data pipeline construction, policies for data retention and management with Ambari. We’ll also discuss new innovations including: integration of user authentication, data lineage, an improved interface for pipeline management, and the new Falcon capability to establish an automated policy for cloud backup to Microsoft Azure or Amazon S3.

Join Apache Falcon committer and PMC member Venkatesh Seetharam and Hortonworks Falcon product manager Andrew Ahn as they discuss Falcon and take questions from attendees.
Tuesday, November 11, 2014

Data Transformation and Acquisition Techniques, to Handle Petabytes of Data

12:00 PM Eastern / 9:00 AM Pacific
Many organizations have become aware of the importance of big data technologies, such as Apache Hadoop but are struggling to determine the right architecture to integrate it with their existing analytics and data processing infrastructure. As companies are implementing Hadoop, they need to learn new skills and languages, which can impact developer productivity. Often times they resort to hand-coded solutions which can be brittle, impact the productivity of the developer and the efficiency of the Hadoop cluster. To truly tap into the business benefits of the big data solutions, it’s necessary to ensure that the business and IT have simple tools-based methods to get data in, change and transform it, and keep it continuously updated with their data warehouse. In this webinar you’ll learn how the Oracle and Hortonworks solution can:
  • Accelerate developer productivity
  • Optimize data transformation workloads for on Hadoop
  • Lower cost of data storage and processing
  • Minimize risks in deployment of big data projects
  • Provide proven industrial scale tooling for data integration projects
In this webinar we’ll discuss how technologies from both Oracle and Hortonworks can deploy the big data reservoir or data lake, an efficient cost-effective way to handle petabyte-scale data staging, transformations, and aged data requirements while reclaiming compute power and storage from your existing data warehouse.   Presenters: Jeff Pollock, Vice President, Product Management, Oracle; and Tim Hall, Vice President, Product Management, Hortonworks
Wednesday, November 12, 2014

Discovering Patterns for Cyber Defense Using Linked Data Analysis

1:00 PM Eastern / 10:00 AM Pacific
Almost every week, news of a proprietary or customer data breach hits the news wave. While attackers have increased the level of sophistication in their tactics, so too have organizations advanced in their ability to build a robust, data-driven defense. Join Hortonworks and Sqrrl to learn how a Modern Data Architecture with Hortonworks Data Platform (HDP) and Sqrrl Enterprise enable intuitive exploration, discovery, and pattern recognition over your big cybersecurity data. In this webinar you will learn:
  • How Apache Hadoop makes it the perfect fit to accumulate cybersecurity data and diagnose the latest attacks
  • The effective ways for pinpointing and reasoning about correlated events within your data, and assessing your network security posture.
  • How a Modern Data Architecture that includes the power of Hadoop with Hortonworks Data Platform with the massive, secure, entity-centric data models in Sqrrl Enterprise can discover hidden patterns and detect anomalies within your data using linked data analysis.
Thursday, November 13, 2014

Discover HDP 2.2: Data Storage Innovations in Hadoop Distributed File System (HDFS)

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Hadoop Distributed File System (HDFS) is a core pillar of enterprise Hadoop - providing reliable, scalable and flexible data storage for multiple analytical workloads. HDP 2.2 includes a huge amount of core innovation in HDFS from the Apache community.

In this 30-minute webinar you’ll learn what’s new in HDFS. Rohit Bakhshi, the Hortonworks product manager for HDFS and Jitendra Pandey, a senior HDFS architect at Hortonworks will discuss the major innovations in HDFS - covering new heterogeneous storage capabilities, new encryption functionality and enhancements in operational security.

Rohit and Jitendra will give a 20-minute presentation, followed by 10 minutes for Q&A.
Wednesday, November 19, 2014

Reduce your Big Data from Downtime with HP Discover and Apache Hadoop

1:00 PM Eastern / 10:00 AM Pacific
How can you simplify the management and monitoring of your Hadoop environment? Ensure IT can focus on the right business priorities supported by Hadoop? Join Hortonworks and HP in this webinar and learn how you can simplify the management and monitoring of your Hadoop environment, and ensure IT can focus on the right business priorities supported by Hadoop.
Thursday, November 20, 2014

Discover HDP 2.2: Learn What’s New in YARN: Reliability, Scheduling and Isolation

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Apache Hadoop YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform.

In this 30-minute webinar, Rohit Bakhshi, product manager at Hortonworks, and Vinod Vavilapalli, who leads YARN development at Hortonworks, will present an overview of YARN and discuss recent YARN innovations for reliability, scheduling and isolation, including:
  • Rolling upgrades
  • Fault tolerance
  • CPU scheduling
  • C-Group isolation
Thursday, December 4, 2014

Discover HDP 2.2: Apache Storm and Apache Kafka for Stream Data Processing

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Hortonworks Data Platform 2.2 ships with Apache Storm and Apache Kafka for processing stream data in Hadoop. Now Storm runs on YARN with Apache Slider and it includes Kerberos support. The new Apache Kafka bolt for Storm supports sophisticated chaining for real-time analysis.

Join Hortonworks vice president of product management Tim Hall and Taylor Goetz, a Hortonworks committer to Storm, for this 30-minute webinar as they discuss these and other new streaming and security capabilities in HDP 2.2. There will be time for Q&A at the end.
Thursday, December 11, 2014

Discover HDP 2.2: Apache HBase with YARN and Slider for Fast, NoSQL Data Access

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Apache HBase provides low-latency storage for scenarios that require real-time analysis and tabular data for end user applications.

Join this 30-minute webinar to learn from Devaraj Das, Hortonworks founder and Apache HBase committer and Hortonworks product manager Carter Shanklin. Devaraj and Carter will discuss the HBase innovations that are included in HDP 2.2, including: support for Apache Slider; Apache HBase high availability (HA); block cache compression; and wire-level encryption.

There will be time for Q&A at the end.
Thursday, December 18, 2014

Discover HDP 2.2: Using Apache Ambari to Manage Hadoop Clusters

1:00 PM Eastern / 12:00 PM Central / 11:00 AM Mountain / 10:00 AM Pacific
Apache Ambari is a single framework for IT administrators to provision, manage and monitor a Hadoop cluster. Apache Ambari 1.7.0 is included with Hortonworks Data Platform 2.2.

In this 30-minute webinar, learn from the Hortonworks Ambari product manager Jeff Sposetti and Apache Ambari committer Mahadev Konar about new capabilities including:
  • Improvements to Ambari core - such as support for ResourceManager HA
  • Extensions to Ambari platform - introducing Ambari Administration and Ambari Views
  • Enhancements to Ambari Stacks - dynamic configuration recommendations and validations via a "Stack Advisor"
There will be time at the end for Q&A.

Past Webinars

Recorded on : Oct 23, 2014

Discover HDP 2.2: Comprehensive Hadoop Security with Apache Ranger and Apache Knox

More Info
Recorded on : Oct 21, 2014

Supporting Financial Services with a More Flexible Approach to Big Data

Presented with WANdisco
More Info
Recorded on : Oct 2, 2014

YARN Ready: Using Spark to Integrate to YARN

More Info
Recorded on : Oct 1, 2014

The Modern Data Architecture for Risk Management with Apache Hadoop and Splunk Inc.

Presented with Splunk
More Info

More Webinars »

HDP 2.1 Webinar Series
Join us for a series of talks on some of the new enterprise functionality available in HDP 2.1 including data governance, security, operations and data access :
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