The Hortonworks Blog

Posts categorized by : Innovation from Hortonwoks

Apache Ambari is the only 100% open source management and provisioning tool for Apache Hadoop. Recent innovations of Apache Ambari have focused on opening Apache Ambari into a pluggable management platform that can automate cluster provisioning, deploy 3rd party software and provide custom operational and developers’ views to the end user.

Join us Thursday March 26 at 10am PT, for an online technical workshop where we will cover 3 key integration points of Apache Ambari including Stacks, Views and Blueprints and deliver working examples of each.…

Introduction

Today, organizations use the Apache Hadoop™ stack in the form of a central data lake to store their critical datasets and power their analytical processing workloads. A key requirement for the Hadoop cluster and the services running on it is to be highly available and flawlessly continue to function while software is being upgraded. In the past, the Hadoop community has added enterprise features such as High Availability (HA) to various components of the stack, snapshots, improved disaster recovery etc.…

Forrester recently called Apache Hadoop adoption “mandatory” for the enterprise. For most organizations, moving forward with Hadoop is no longer a question of if, but when. Hadoop-powered insight into big data is enabling market disruption in every industry and the market winners are those who handle that data most effectively and at the lowest cost.

As with any new platform, making decisions on how best to implement and for what purpose can be challenging.…

On March 25th, Josh Lee, Global Director for Insurance Marketing at Informatica and Cindy Maike, General Manager, Insurance at Hortonworks, will be joining the Insurance Journal in a webinar on “How to Become an Analytics-Ready Insurer.”

Register for the Webinar on March 25th at 10am Pacific/1pm Eastern time

Josh and Cindy exchange perspectives on what “analytics ready” really means for insurers, and today we are sharing some of our views (join the webinar to learn more).…

This is the second post in a series exploring the theme of long-running service workloads in YARN. See for the introductory post.

Long-running services deployed on YARN are by definition expected to run for a long period of time—in many cases forever. Services such as Apache™ HBase, Apache Accumulo and Apache Storm can be run on YARN to provide a layer of services to end users, and they usually have a central master running in conjunction with an ApplicationMaster (AM).…

Analysts and data scientists⎯not to mention business executives⎯want Big Data not for the sake of the data itself, but for the ability to work with and learn from that data. As other users become more savvy, they also want more access. But too many inefficient queries can create a bottleneck in the system.

The good news is that Apache™ Hive 0.14—the standard SQL interface for processing, accessing and analyzing Apache Hadoop® data sets—is now powered by Apache Calcite.…

This is the third post in a series exploring recent innovations in the Hadoop ecosystem that are included in Hortonworks Data Platform (HDP) 2.2. In this post, we introduce the theme of supporting rolling upgrades and downgrades of a Hadoop YARN cluster.

HDP 2.2 offers substantial innovations in Apache™ Hadoop YARN, enabling Hadoop users to efficiently store and interact with their data in a single repository, simultaneously using a wide variety of engines.…

Hortonworks provides enterprise Hadoop for the telecommunications service provider, and Hortonworks Data Platform (HDP) is architected from the ground up with the centralized YARN-based architecture and core enterprise services for data governance, security and cluster operations that can revolutionize your telecommunications business.

As the originators of Hadoop, leaders in the developer community, and partners for your success, nobody is better to help you become a data-centric telecommunications enterprise.

Hortonworks supports most of the largest North American carriers.…

As a data scientist working with Hadoop, I often use Apache Hive to explore data, make ad-hoc queries or build data pipelines.

Until recently, optimizing Hive queries focused mostly on data layout techniques such as partitioning and bucketing or using custom file formats.

In the last couple of years, driven largely by the innovation of the Hive community around the Stinger initiative, Hive query time has improved dramatically, enabling Hive to support both batch and interactive workloads at speed and at scale.…

The Apache HBase community has released Apache HBase 1.0.0. Seven years in the making, it marks a major milestone in the Apache HBase project’s development, offers some exciting features and new API’s without sacrificing stability, and is both on-wire and on-disk compatible with HBase 0.98.x.

In this blog, which is a cross post from from Apache HBase Blog, we look at the past, present and future of Apache HBase project.…

This is a unique moment in time. Fueled by open source, Apache Hadoop has become an essential part of the modern enterprise data architecture and the Hadoop market is accelerating at an amazing rate.

The impressive thing about successful open source projects is the pace of the “release early, release often” development cycle, also known as upstream innovation. The process moves through major and minor releases at a regular clip and the downstream users get to pick the releases and versions they want to consume for their specific needs.…

Today Microsoft announced two important new updates to their Azure HDInsight Service with Apache Hadoop 2.6, now available on new clusters.

We are excited to continue to work alongside Microsoft in expanding the deployment options to the Linux Operating System for managed Hadoop as a Service Azure HDInsight clusters. The HDInsight on Linux Preview leverages the completely open Apache Ambari framework to deploy, manage and monitor Hadoop clusters on premise or in the cloud.…

Today, SAS and Hortonworks, two long-time partners and innovators in the Big Data and Analytics space, have announced the certification and release of SAS® Data Loader for Hadoop.

Read the guest blog post below and learn more about SAS and Hortonworks’ joint efforts, thanks to Keith Renison, Senior Solutions Architect for SAS Global Technology Practice.

The New Analytics Culture

Let’s talk about three key elements that drive data management for Hadoop.…

Hortonworks Data Platform’s YARN-based architecture enables multiple applications to share a common cluster and data set while ensuring consistent levels of response made possible by a centralized architecture. Hortonworks led the efforts to on-board open source data processing engines, such as Apache Hive, HBase, Accumulo, Spark, Storm and others, on Apache Hadoop YARN.

In this blog, we will focus on one of those data processing engines—Apache Storm—and its relationship with Apache Kafka.…

Talend is a Hortonworks Certified Technology Partner, and our guest blogger today is Shawn James, director, big data business development, Talend. Shawn and Jim Walker, director of product marketing at Hortonworks, are our guest speakers in an upcoming webinar on Feb. 12th.

If you are a data scientist, MapReduce or Hadoop developer, you are in demand given the massive increase in data science-based projects. These projects are being driven by the private sector of course, but also by a public sector that is looking to tackle a new range of use cases using big data.…