Features

Features

• NoSQL performance management still an incomplete picture

  The ability to monitor and manage the performance of NoSQL databases is all over the map, making it crucial for users to find the right technology for the applications they're looking to run.  Continue Reading

• Three indicators that could signal database performance issues

  Database performance monitoring and management tools can be used to mitigate issues and help organizations be more proactive, so they can avoid performance problems and outages.  Continue Reading

• How data governance software helps ensure the integrity of your data

  While a data governance initiative comprises people, processes and technology, data governance software supplements and automates the processes the organization implements.  Continue Reading

• Inside the Informatica PowerCenter data integration platform

  The Informatica PowerCenter data integration platform helps organizations access, discover, cleanse and integrate data from disparate data sources.  Continue Reading

• What you need to know about Oracle Data Integrator 12c

  Oracle Data Integrator 12c works with several other Oracle products to leverage the capabilities of RDBMSs for processing and transforming data.  Continue Reading

• Inside CA Technologies' database performance management products

  CA Technologies offers an array of database performance management products for DB2 for z/OS and a scalable system and network monitoring product for distributed databases.  Continue Reading

• SAS Data Governance helps support enterprise data tasks

  SAS Data Governance provides organizations with data governance tools for organizing, managing and accessing their data assets, and establishing enterprise-wide data policies.  Continue Reading

• New data landscape augurs discovery-based architectures

  In an interview, consultant Lakshmi Randall foresees changes in how data management is organized and executed as the overall data landscape shifts due to the adoption of big data systems.  Continue Reading

• What you need to know about database performance software

  Database performance software identifies bottlenecks and points of contention, monitors workload and throughput, and manages system and DBMS resource usage.  Continue Reading

• GPU database serves up analysis of tweets, other data feeds

  As a student, Todd Mostak took on large-scale tweet analysis of historic events in the Middle East. Today, he leads startup MapD, which offers a database built on graphics processing units.  Continue Reading

• EBay helps drive new style of data engineering

  Open source data engineering has become a way of life at e-commerce leader eBay, says the company's Debashis Saha. Kylin is one of the tools that has resulted.  Continue Reading

• Learn more about the Cloudera Hadoop distribution

  Cloudera distribution including Apache Hadoop provides an analytics platform and the latest open source technologies to store, process, discover, model and serve large amounts of data.  Continue Reading

• Inside the IBM BigInsights platform for big data management

  The latest version of IBM BigInsights offers several value-add services that can be used with its core distribution of open source Hadoop for managing big data.  Continue Reading

• Inside the MapR Hadoop distribution for managing big data

  The MapR Hadoop distribution replaces HDFS with its proprietary file system, MapR-FS, which is designed to provide more efficient management of data, reliability and ease of use.  Continue Reading

• What to know about the IBM Information Governance Catalog

  IBM's Information Governance Catalog provides organizations with a workflow-oriented data governance tool for organizing, managing and accessing their data assets.  Continue Reading

• Inside the Hortonworks open enterprise Hadoop distribution

  The Hortonworks Data Platform consists entirely of projects built through the Apache Software Foundation and provides an open source environment for data collection, processing and analysis.  Continue Reading

• Analytics and BI in the cloud get mixed reaction

  Managing and analyzing data in the cloud can reduce IT costs and simplify technology deployments and upgrades. But adoption levels remain relatively low, despite the potential benefits.  Continue Reading

• A look at Amazon Elastic MapReduce cloud-based Hadoop

  The Amazon Elastic MapReduce Web service offers a managed Hadoop framework that enables users to distribute and process big data across dynamically scalable Amazon EC2 instances.  Continue Reading

• Inside the Microsoft Azure HDInsight cloud infrastructure

  Azure HDInsight is a cloud implementation of Apache Hadoop that provides a software framework designed for processing, analyzing and reporting on big data.  Continue Reading

• Data virtualization ushers in unified view of data

  A member-owned supply chain management company melded siloed data sets to gain a unified view of diverse data feeds.  Continue Reading

• IBM's dashDB forges data warehouse in the cloud

  Amazon's Redshift led the way in cloud data warehouses. Now IBM hopes to catch up on the wings of dashDB.  Continue Reading

• Big data platforms pose structural issues for new users

  Big data systems require the same kind of data partitioning and setup steps as conventional ones do. But first, users have to learn how to make that process work in Hadoop and Spark.  Continue Reading

• Five factors to help select the right data warehouse product

  How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform.  Continue Reading

• Q&A: Dinsmore sees open source Apache Spark moving to new stage

  Analytics vet Thomas Dinsmore says Apache Spark is entering a new phase of adoption, one in which hype gives way to clearer assessment. He also discusses the ascent of the R programming language for analytics.  Continue Reading

• Pivotal Greenplum streamlines big data query optimization

  The Pivotal Greenplum open source shared-nothing data warehouse delivers high query performance and throughput, and provides rapid analytics on big data.  Continue Reading

• A look at the upcoming Microsoft Azure SQL Data Warehouse

  The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it.  Continue Reading

• A look inside the SAP IQ column-oriented database

  The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance.  Continue Reading

• Examining the Teradata Data Warehouse

  With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud.  Continue Reading

• What to consider when evaluating Hadoop vendors

  Before you evaluate specific Hadoop software or subscriptions, examine what features the vendor distributions provide and how they match your big data management needs.  Continue Reading

• Evaluating the key features of data warehouse platforms

  Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets your project requirements.  Continue Reading

• How a Hadoop distribution can help you manage big data

  To help you determine if a commercial Hadoop distribution could benefit your organization, consultant David Loshin examines big data use cases and applications that Hadoop can support.  Continue Reading

• What to expect from Oracle Exadata Database Machine

  Oracle Exadata Database Machine combines hardware and software to enable analytics, batch, reporting and other tasks to run simultaneously within and across databases.  Continue Reading

• IBM dashDB delivers with cloud data warehouse

  Available through IBM's Bluemix platform, IBM dashDB is a data warehouse as a service that includes IBM BLU Acceleration technology and embedded Netezza in-database analytics.  Continue Reading

• Examining the IBM PureData System for Analytics appliance

  Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly.  Continue Reading

• Future database stew to include NoSQL

  Future database plans will include NoSQL, but there are elements to consider before making the leap, according to Mike Bowers, set to discuss this at Enterprise Data World 2016.  Continue Reading

• Exploring the Actian Analytics Platform appliance

  With the Actian Analytics Platform data warehouse appliance, both Hadoop and non-Hadoop clients can use their existing SQL applications and investments on new data sources.  Continue Reading

• Exploring the HPE Vertica Analytics Platform

  The Vertica Analytics Platform from Hewlett Packard Enterprise is designed to be used for data warehouses and other complex, query-intensive applications.  Continue Reading

• Exploring Amazon Redshift cloud data warehouse as a service

  The Amazon Redshift petabyte-scale cloud data warehouse as a service enables organizations to analyze data in a cost-effective way, using their existing business intelligence tools.  Continue Reading

• Geospatial data is on the map for Hadoop, Spark

  Software architect Mansour Raad is at the center of activity as geospatial data melds with Hadoop -- and soon, Spark.  Continue Reading

• JSON format coexists with XML in association's data strategy

  The JSON data-interchange format has increasingly found a home in Web applications. But XML is keeping its place in a publishing system at the American Psychological Association.  Continue Reading

• Mobile gaming company plays new Hadoop cluster management card

  Chartboost, which operates a platform for mobile games, turned to new cluster management software in an effort to overcome problems in controlling the use of its Hadoop processing resources.  Continue Reading

• NoSQL, Hadoop data engines shifted into new gears in 2015

  To say that the core engines in big data platforms were in flux in 2015 may be an understatement. Users considering NoSQL and Hadoop deployments faced an array of new technologies.  Continue Reading

• Kirk Borne on data science and big data analytics, data literacy

  In a Q&A, big data and data science expert Kirk Borne discusses new data processing and analytics technologies and the growing importance of data literacy in organizations.  Continue Reading

• Spark vs. Hadoop: Is big data engine a replacement part?

  How the relationship between Spark and Hadoop will play out is an open question. We asked IT pros whether they see Spark more as a Hadoop companion or competitor.  Continue Reading

• DataStax Enterprise operational database tames Cassandra

  The need for geographic data distribution has driven the DataStax Enterprise operational database into prominence. New version 4.8 offers more immediate indexing of data.  Continue Reading

• Medical technologist drives semantic data lake development

  A pivotal magazine article helped point medical doctor Parsa Mirhaji along a path to a semantic data lake for healthcare analytics applications, using Hadoop, RDF, graph databases and more.  Continue Reading

• The benefits of deploying a data warehouse platform

  Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology.  Continue Reading

• IT pros talk top enterprise NoSQL architecture challenges

  We asked attendees at a conference on NoSQL databases about the challenges faced by users of the software. Their responses cited issues such as scalability, data modeling and analytics.  Continue Reading

• SQL-Hadoop duo looks to ease programming in big data apps

  An emerging crop of SQL-on-Hadoop query engines are enabling users to pair up the database programming language and big data framework, letting SQL developers query Hadoop data.  Continue Reading

• Three ways to build a big data system

  In a book excerpt, author Dale Neef outlines and compares different approaches organizations can take when trying to bring a big data system into their IT environments.  Continue Reading

• Madsen looks at shift in big data analytics applications

  At a TDWI Boston Chapter meeting, Mark Madsen says some notions of information become outdated in the face of big data analytics. This is part one of two.  Continue Reading

• New models of processing stalk big data analytics applications

  Operations and big data analytics applications are beginning to blend, causing changes in data strategies, Mark Madsen tells a TDWI Boston Chapter meeting. This is part two of two.  Continue Reading

• Evaluating SQL-on-Hadoop tools? Start with the use case

  In a Q&A, Clarity Solution Group CTO Tripp Smith says to base SQL-on-Hadoop software decisions on actual workloads. Some Hadoop tools target batch jobs, while others are intended for interactive ones.  Continue Reading

• Swim fast with a Hadoop data lake architecture -- or sink

  The Hadoop data lake concept presents plenty of challenges for organizations. But the experiences of early adopters point the way toward successful data lake architecture deployments.  Continue Reading

• Types of NoSQL databases and key criteria for choosing them

  In a book excerpt, consultant Dan Sullivan offers insights into how to select the right type of NoSQL database for the right application in your organization.  Continue Reading

• How to identify master data in a multi-domain MDM program

  In an excerpt from their book on managing multi-domain master data management programs, Mark Allen and Dalton Cervo explain how to identify MDM domains and your master data.  Continue Reading

• Don't throw out design principles when jumping in Hadoop data lake

  In a Q&A, data warehousing expert Joe Caserta explains why a new generation of developers building Hadoop clusters and other big data systems may need an introduction to some fundamental rules of ETL.  Continue Reading

• SAP HANA in-memory DBMS overview

  SAP HANA is an in-memory DBMS and application platform designed to handle high transaction rates and complex queries using one data copy.  Continue Reading

• Solid data integration techniques pave clear path for info

  Implementing an effective data integration strategy is becoming increasingly important as organizations look to collect and analyze information from a diverse set of data sources.  Continue Reading

• Redis open source DBMS overview

  The Redis open source DBMS provides a highly scalable data store that can be shared by multiple processes, applications or servers.  Continue Reading

• SQL-on-Hadoop tools help users navigate enterprise Hadoop course

  Hadoop may be a technology in waiting, unless SQL-on-Hadoop tools turn it into an enterprise mainstay.  Continue Reading

• Riak KV NoSQL DBMS overview

  Riak NoSQL DBMS is designed to enable storage of and access to various types of unstructured data that require continuous availability.  Continue Reading

• MySQL open source RDBMS overview

  Developers, database administrators and DevOps teams use MySQL open source RDBMS to more easily operate next-generation applications in the cloud.  Continue Reading

• Neo4j graph DBMS overview

  The Neo4j graph DBMS delivers high performance and availability, with its native graph capabilities for data storage and access.  Continue Reading

• MongoDB NoSQL DBMS overview

  MongoDB database management system is designed for running modern applications that rely on structured and unstructured data and support rapidly changing data.  Continue Reading

• MarkLogic Server NoSQL DBMS overview

  The MarkLogic Server NoSQL DBMS is designed to make heterogeneous data integration easier and faster using an array of enterprise features.  Continue Reading

• Data lake concept needs more big data use cases to flourish

  Hadoop data lakes offer an enticing location for large data sets. But consultant Andy Hayler says more examples of successful big data projects are needed to help boost their adoption.  Continue Reading

• Self-service data preparation tools tap into machine learning

  Machine learning is a hot technology in analytics applications -- and it also underpins new data preparation tools that let business analysts and users integrate data for analysis.  Continue Reading

• Make the right choice between Hadoop clusters and a data warehouse

  Consultant David Loshin outlines a process for comparing specific criteria and variables to help guide decisions on deploying Hadoop or using an enterprise data warehouse.  Continue Reading

• InfiniteGraph enterprise distributed graph database overview

  InfiniteGraph can be used to build data-intensive, graph-based applications to help organizations gain insights from large amounts of information.  Continue Reading

• Big data in financial services begets chief data officer

  With big data in financial services requiring various skills, a chief data officer may be ready to step up. A Capgemini expert discusses this evolving role.  Continue Reading

• IBM DB2 relational DBMS overview

  IBM DB2 relational DBMS delivers high availability, strong performance and mission-critical support across multiple platforms.  Continue Reading

• Apache Cassandra NoSQL DBMS overview

  Apache Cassandra was designed to handle very large amounts of data and deliver high availability without a single point of failure.  Continue Reading

• Time to take your enterprise data governance plan up a notch

  Data governance is becoming more important as companies increasingly look to be more data-driven. Make sure your organization is ready to take a strategic approach to governing its data.  Continue Reading

• Amazon SimpleDB overview

  Amazon SimpleDB is a hosted database as a service that enables developers to store and query structured data items via Web services requests.  Continue Reading

• Aerospike NoSQL DBMS overview

  The Aerospike open source, in-memory NoSQL DBMS is a key-value data store that enables applications to deliver high performance and rapid data access.  Continue Reading

• Which in-memory DBMS best fits your company's needs?

  Database expert Craig S. Mullins examines some top in-memory DBMS software offerings to help you determine which is the best fit for your organization.  Continue Reading

• Oracle Database 12c relational database management system overview

  Oracle Database 12c delivers strong performance for mission-critical workloads, with features and functionality for diverse processing needs and requirements.  Continue Reading

• How to determine which NoSQL DBMS best fits your needs

  Database expert Craig S. Mullins examines top NoSQL DBMS software to help you determine which product aligns with the requirements of your organization.  Continue Reading

• Database schemas still needed, despite Hadoop and NoSQL pretensions

  Hadoop and NoSQL haven't eliminated the need for database schemas, according to one expert. Instead, consider them flexible schemas waiting to be integrated.  Continue Reading

• When building Hadoop data lakes, don't plunge in without a plan

  A data lake may seem like a clear choice -- deposit all your data in a Hadoop repository for analytics uses -- but navigating those IT waters isn't so simple, consultant Wayne Eckerson says.  Continue Reading

• SQL Server 2016, Azure SQL Data Warehouse lead Microsoft cloud hopes

  Microsoft is working on yet another computing transformation, and its SQL Server and Azure SQL products are central thereto. But the company faces stiff competition in the cloud from Amazon.  Continue Reading

• Databricks Cloud platform aims to open up Spark data processing

  Databricks Cloud is a big data platform that's based on the Apache Spark processing engine, with added features designed to simplify big data management and analytics for users.  Continue Reading

• Which relational DBMS is best for your company?

  Database expert Craig S. Mullins examines the top relational database management system software to determine which best fits your organization.  Continue Reading

• How to determine if an in-memory DBMS is right for your company

  Database expert Craig S. Mullins examines the pros and cons of the in-memory database management system, and the criteria you should consider during the request-for-proposal and evaluation period.  Continue Reading

• Can cognitive computing help users combine big data and analytics?

  In a Q&A, consultant and author Judith Hurwitz discusses the use of cognitive computing systems in big data and analytics applications The word: It's early, but there's a lot of potential.  Continue Reading

• System for diners orders up Azure big data platform in the cloud

  Ziosk is joining the tabletop tablet computers it places in restaurants with Microsoft's Azure cloud platform and big data tools to try to improve the business of casual dining through machine learning applications.  Continue Reading

• Distributed data management architecture trumps EDW on agility

  As data sources continue to increase, organizations are reconsidering enterprise data warehouses for a more flexible approach to data management.  Continue Reading

• Cloud data integration tasks require new IT approaches, tools

  In a Q&A, consultant Rick Sherman offers tips on integrating cloud and on-premises applications, and discusses potential barriers and the technologies that can help get the job done.  Continue Reading

• Key considerations for determining if a NoSQL DBMS meets your IT needs

  NoSQL represents the fastest-growing type of DBMS being adopted today. Is it right for you?  Continue Reading

• CDO jobs on the rise to help wring more business value out of data

  Chief data officers are becoming more prevalent in companies, and more necessary, consultant John Ladley said in a webinar -- so much so that he thinks 2015 could be 'the year of the CDO.'  Continue Reading

• Key criteria for deciding if a relational DBMS meets your IT needs

  For many organizations, a relational database management system will get the job done; others need to keep looking to fulfill their needs.  Continue Reading

• Western Union connects the dots to enable enterprise Hadoop use

  Building and running enterprise Hadoop applications takes more than data crunching. First, Hadoop data must be absorbed into company processes, a Western Union IT manager says.  Continue Reading

• Hadoop data lakes must get more efficient, less 'messy' to oust EDWs

  In a Q&A, Forrester analyst Mike Gualtieri said Hadoop-based data lakes can become an alternative to enterprise data warehouses. But first, faster I/O and better data governance are needed.  Continue Reading

• Dip in Hadoop data lake can be bracing for big data users

  Encouraged by the promise of cost savings and better efficiency, early adopters are wading into Hadoop as a central reservoir for their analytics data.  Continue Reading

• Apache Spark trumps MapReduce in speed, flexibility

  The processing engine’s in-memory computing layer can supposedly run batch-processing programs 100 times faster. Does the vendor hype equal user adoption?  Continue Reading

• Time to tool up on data integration software?

  The market for packaged data integration tools is expected to grow by nearly 10% annually. But a lot of holdout organizations might need convincing to move beyond manual coding.  Continue Reading

• Enterprise data warehouse architecture endures -- and evolves

  The traditional data warehouse doesn't get the hoopla that Hadoop and NoSQL systems do, but it's still a core component of most IT infrastructures. And it's even learning some new tricks.  Continue Reading

• Accenture's Dell'Anno discusses data supply chain

  Data supply chains serve to turn raw data into useful business information, says Accenture's Vincent Dell'Anno.  Continue Reading

• Data warehouse software not ready for retirement in age of big data

  Hadoop clusters, NoSQL databases and other modern technologies have roles to play in business intelligence and analytics environments. But traditional data warehouses still do, too.  Continue Reading