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Guide to Supporting On-Premise Spark Deployments with a Cloud-Scale Data Platform

Published By: Pure Storage     Published Date: Dec 05, 2018
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
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Pure Storage

The Best Distribution of Apache Cassandra

Published By: Datastax     Published Date: Apr 04, 2017
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
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distribution, apache cassandra, cloud, datastax
    
Datastax

Building Real-Time Data Pipelines

Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL

A Guide to Pairing Apache Kafka with a Real-Time Database

Published By: MemSQL     Published Date: Nov 15, 2017
Pairing Apache Kafka with a Real-Time Database Learn how to: ? Scope data pipelines all the way from ingest to applications and analytics ? Build data pipelines using a new SQL command: CREATE PIPELINE ? Achieve exactly-once semantics with native pipelines ? Overcome top challenges of real-time data management
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digital transformation, applications, data, pipelines, management
    
MemSQL

Use Red Hat Enterprise Linux for an efficient LAMP deployment

Published By: Red Hat     Published Date: Jul 14, 2010
This paper demonstrates the steps to deploy and configure a LAMP infrastructure and application with Red Hat Enterprise Linux.
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red hat, enterprise linux, lamp, deployment, configuration, application integration, apache, mysql
    
Red Hat

Get the Coverity Scan 2010 Open Source Integrity Report featuring the Android Integrity Report

Published By: Coverity, Inc.     Published Date: Nov 01, 2010
This report is the result of the largest public-private sector research project focused on open source software integrity, originally initiated between Coverity and the U.S. Department of Homeland Security in 2006. The results from the 2010 edition of the Coverity Scan Open Source Integrity Report detail the findings of analyzing more than 61 million lines of open source code from 291 popular and widely-used open source projects such as Android, Linux, Apache, Samba and PHP, among others.
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coverity, static analysis, dynamic analysis, software analysis, software defects, software bugs, product safety, software safety
    
Coverity, Inc.

Search Is The New Killer App

Published By: Lucidworks     Published Date: Feb 12, 2015
Search is all your data, all the time, at scale. Read this white paper today and learn about Lucidworks Fusion, the next-generation search platform built on Apache Solr.
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search platform, search query, search technologies, big data, high-volume data, database advancements, it management, knowledge management
    
Lucidworks

The Big Deal about Big SQL? Introducing Relational DBMS Users to IBM SQL Technology for Hadoop

Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
    
IBM

Seven Reasons You Need Predictive Analytics Today

Published By: IBM     Published Date: Feb 03, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, data management, apache, hadoop, analytics
    
IBM

Big computing for big data: Ignite your predictive analytics with Spark

Published By: IBM     Published Date: Feb 03, 2016
The more real-time and granular your data is, the more responsive and competitive your organization can become.
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ibm, data management, apache, hadoop, analytics
    
IBM

Deciding Between Cloudant Managed Service, Cloudant Local, and Apache CouchDB

Published By: IBM     Published Date: Jun 07, 2016
Once you know that a document oriented database is the best database for your application, you will have to decide where and how you'll deploy the software and its associated infrastructure. Download this white paper for an outline of the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloudant managed service, cloudant local, apache couchdb, networking, enterprise applications, data management, database development
    
IBM

Deploying Spark in a Production Environment: Opportunities, Challenges and Practical Solutions

Published By: IBM     Published Date: Jul 19, 2016
Watch to learn how an enterprise-grade, multi-tenant solution can help you deploy Spark in a production environment to take advantage of · Faster time-to-results for big data analytics · Simplified deployment and management · Increased utilization of hardware resources"
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ibm, analytics, production environment, apache spark, idc research, software development, enterprise applications, data management
    
IBM

Your competitors are paying attention to Apache Spark - are you?

Published By: IBM     Published Date: Nov 07, 2016
Apache Spark hit the scene in 2014 and has grown to be the most popular software project in the history of Open Source. Attend this webinar and learn more about; -What is Apache Spark? -Why, is it so popular? -Why is it important to you and your organization? Apache Spark is allowing companies to drive innovative ways to compete using one of the most valuable assets in the 21st century, Data! Apache Spark is the fastest growing framework for powering Big Data Analytics today and for the future. Register to attend this webcast and learn more.
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ibm, big data, platform computing, apache spark, enterprise applications, business technology
    
IBM

Magic Quadrant For Data Science Platforms

Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM

Faster Insights with IBM Cloudant and Apache Spark

Published By: IBM     Published Date: Jun 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
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ibm, ibm cloudant, apache spark, nosql, database
    
IBM

Out in the open with analytics

Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS

What's the Big Deal about Big SQL?

Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables
    
IBM

Apache Hadoop: Is one cluster enough?

Published By: WANdisco     Published Date: Oct 15, 2014
In this Gigaom Research webinar, the panel will discuss how the multi-cluster approach can be implemented in real systems, and whether and how it can be made to work. The panel will also talk about best practices for implementing the approach in organizations.
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wandisco, wan, wide area network, hadoop, clusters, clustering, load balancing, data
    
WANdisco

Business Survival Depends on Application Delivery

Published By: Nginx     Published Date: Jul 15, 2014
Users demand fast application delivery and it is essential for the survival of your business. Meeting the expectations of your users is challenging. NGINX Plus offers a broad array of solutions to solve these challenges, allowing you to delight your users.
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nginx, application delivery, web servers, application infrastructure, apache http server, high availability, load balancing, server performance
    
Nginx

Embracing Next-Generation Big Data & Analytics

Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale

InfoSphere BigInsights for Hadoop: Efficiently manage and mine big data for valuable insights

Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql, network management, network performance
    
IBM

The Next Wave of Intelligent Applications, Powered by Apache Spark

Published By: IBM     Published Date: Jul 07, 2015
Life revolves around prediction—for example, the route you take to get to work, whether to go on a second date, or whether or not to keep reading this sentence are all forms of prediction. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM. Learn more.
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intelligent applications, machine learning, prescriptive analytics, real-time, natural language processing, automation, application integration, application performance management
    
IBM

Transforming Hadoop into an Enterprise Data Center Analytics Platform

Published By: MapR Technologies     Published Date: Dec 12, 2013
Evaluator Group looks at what will make Hadoop an enterprise data center-grade analytics platform.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

Hadoop Buyer's Guide

Published By: MapR Technologies     Published Date: Dec 12, 2013
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

Simplifying Big Data Management, by Kusnetzky Group

Published By: MapR Technologies     Published Date: Dec 12, 2013
This independent whitepaper from the Kusnetzky Group Analyst describes the promise and challenges surrounding Big Data. It also validates the M7 solution from MapR, which simplifies big data management by consolidating disparate solutions into a single, enterprise-ready platform.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies
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