The Hortonworks Blog

Posts categorized by : Architect & CIO
Chaos Before The Storm … and a Brief History

For its name and the metaphoric image it evokes, Apache Storm lives up to its purpose and promise: to ingest, absorb, and digest an avalanche of real-time data as a stream of unbounded discrete events at scale, speed, and success.

Before Storm, developers used a set of queues and workers to process a stream of real-time events. That is, events were placed on a worker queues, and worker threads plucked events and processed them—transforming, persisting or forwarding them to another queue for further processing.…

Sheetal Dolas is a Principal Architect at Hortonworks. As part of Apache Storm design patterns’ series blog, he explores three options for micro-batching using Apache Storm’s core APIs. This is the first blog in the series.

What is Micro-batching?

Micro-batching is a technique that allows a process or task to treat a stream as a sequence of small batches or chunks of data. For incoming streams, the events can be packaged into small batches and delivered to a batch system for processing [1]

Micro-batching in Apache Storm

In Apache Storm, micro-batching in core Storm topologies makes sense for performance or for integration with external systems (like ElasticSearch, Solr, HBase or a database).…

YARN and Apache Storm: A Powerful Combination

YARN changed the game for all data access engines in Apache Hadoop. As part of Hadoop 2, YARN took the resource management capabilities that were in MapReduce and packaged them for use by new engines. Now Apache Storm is one of those data-processing engines that can run alongside many others, coordinated by YARN.

YARN’s architecture makes it much easier for users to build and run multiple applications in Hadoop, all sharing a common resource manager.…

The open source community, including Hortonworks, has invested heavily in building enterprise grade security for Apache Hadoop. These efforts include Apache Knox for perimeter security, Kerberos for strong authentication and the recently announced Apache Argus incubator that brings a central administration framework for authorization and auditing.

Join Hortonworks and Voltage Security in a webinar on August 27  to learn more.

In multi-platform environments with data coming from many different sources, personally identifiable information, credit card numbers, and intellectual property can land in the Hadoop cluster.…

Zettaset is a Hortonworks partner. In this guest blog, John Armstrong, VP of Marketing at Zettaset Inc., shares Zettaset’s security features and explains why data encryption is vital for data in the Hadoop infrastructure.

Comprehensive Security Across the Hadoop Infrastructure

As big data technologies like Hadoop become widely deployed in production environments, the expectation is that they will meet the enterprise requirements in data governance, operations and security while integrating with existing data center infrastructure. …

Few industries depend as heavily on data as financial services. Insurance companies, retail and investment banks aggregate, price and distribute capital with the aim of increasing their return on assets with an acceptable level of risk.

To do that, financial decision-makers need data. Apache Hadoop helps them store new data sources, then process the larger combined dataset for batch, interactive and real-time analysis. More data and better analysis improves bottom-line results.…

The Journey

Almost to the date, two years ago the Apache Hadoop community voted to make YARN a sub-project of Apache Hadoop followed by the GA release nearly a year ago last fall.

Since then, it’s becoming plainly obvious that Apache Hadoop 2.x, powered by YARN as its architectural center, is the best platform for workloads such as Apache Hadoop MapReduce, Apache Pig, Apache Hive etc., which were designed to process data on Apache Hadoop HDFS.…

This week we continue our YARN webinar series with detailed introduction and a developer overview of Apache Tez.  Designed to express fit-to-purpose data processing logic, Tez enables batch and interactive data processing applications spanning TB to PB scale datasets.  Tez offers a customizable execution architecture that allows developers to express complex computations as dataflow graphs and allows for dynamic performance optimizations based on real information about the data and the resources required to process it.…

We are in the midst of a data revolution. Hadoop, powered by Apache Hadoop YARN, enables enterprises to store, process, and innovate around data at a scale never seen before making security a critical consideration. Enterprises are looking for a comprehensive approach to security for their data to realize the full potential of the Hadoop platform unleashed by YARN, the architectural center and the data operating system of Hadoop 2.

Hortonworks and the open community continue to work tirelessly to enhance security in Hadoop.…

ScaleOut joined the Hortonworks Technology Partner Program and has recently achieved Hortonworks Certified status for ScaleOut hServer. ScaleOut Software is a pioneer in in-memory data grid software and the ScaleOut hServer can be installed directly on Hadoop nodes and runs in-memory. In this guest blog, William Bain, Founder and CEO, talks about certification and a use case.

Recently, ScaleOut Software announced technical certification of its ScaleOut hServer® product on Hortonworks Data Platform 2.1.…

This is a guest blog from Protegrity, a Hortonworks certified partner.

As Hadoop transitions to take on a more mission critical role within the data center, so the top IT imperatives of process innovation, operational efficiency, and data security naturally follow. One such imperative in particular now tops the requirement list for Hadoop consideration within the enterprise: a well-developed framework to secure data.

The open source community has responded. Work is underway to build out a comprehensive and coordinated security framework for Hadoop that can work well with existing IT security investments.…

This is a quest blog from Voltage Security, a Hortonworks partner.

Data Security for Hadoop is a critical requirement for adoption within the enterprise. Organizations must protect sensitive customer, partner and internal information and adhere to an ever-increasing set of compliance requirements. The security challenges these organizations are facing are diverse and the technology is evolving rapidly to keep pace. 

An Open Community For Platform Security

The open source community, including Hortonworks, has invested heavily in building enterprise grade security for Apache Hadoop. …

In May, Hortonworks acquired XA Secure and made a promise to contribute this technology to the Apache Software Foundation.  In June, we made it available for all to download and use from our website and today we are proud to announce this technology officially lives on as Apache Argus, an incubator project within the ASF.

This podling has been formed and now the process of graduating Argus to a top-level project (TLP) has begun.…

This is a guest post from Hortonworks partner, Dataguise. Dataguise is a HDP 2.1 certified technology partner providing sensitive data discovery, protection and reporting in Hadoop.

According to a 2013 Global Data Breach study by the Ponemon Institute, the average cost of data loss exceeds $5.4 million per breach, and the average per person cost of lost data approaching $200 per record in the United States. That said, no industry is spared from this threat and all of our data systems, including Hadoop, need to address the security concern.…

A transformation is occurring in the data center.  Enterprises are turning to a modern data architecture in order to derive maximum value from both big and small data across their organization.  They are building new analytic apps that unlock opportunity and allow them to maintain or create competitive edge. Apache Hadoop is at the center of this architecture and integrates with the technologies that run your business to augment and extend this new value.…

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