Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• 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

• New data preparation tools open up more info to analysts

  Consultant David Loshin says self-service data preparation software helps give data analysts broader access to business information than they typically can get in a data warehouse.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

• Match increase in BI and analytics with a data governance plan

  Analytics tools are increasingly used by all kinds of companies. Their popularity has also given rise to a host of problems that can occur when organizations don't also put in place data protections. Issues such as data inconsistences and ...Continue Reading

• Cloud data warehouse guide: Using Redshift, rival platforms

  Like other cloud services, cloud data warehouse platforms can offer potential savings, faster rollouts and the ability to scale up or down easily -- but there are challenges, too.Continue Reading

• Hadoop distributions offer buyers economical options

  Running on clusters of commodity servers, Hadoop offers a high-performance, low-cost approach to building a big data management architecture that supports advanced analytics initiatives across several industries. As an open source technology, Hadoop...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

• 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

• MapReduce(d) in the eyes of many Hadoop systems users

  New technologies are augmenting -- and in some cases replacing -- the core components of Hadoop. Welcome to the new, not-so-settled reality of the big data era.Continue Reading

• IoT applications make advances, but hurdles lie ahead

  Data is an upside and a downside to the Internet of Things. Many companies are eager to make IoT products or add IoT capabilities to their devices, and some don't go beyond that. But taking IoT from cool toy to useful tool means doing something with...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

• Choices widen for BI big data tools

  Once upon a time not too long ago, when the term big data was born and bandied about, most companies viewed using big data as just a pipe dream. The processing demands, data storage needs and associated costs to integrate BI big data ...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

• Negotiating your way through the big data BI gauntlet

  Big data analytics tools are more accessible and easier to use now than ever before, but factors such as product performance and corporate culture still enter into the decision-making process.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

• Intel promotes big data analytics platform to speed use

  This podcast considers TAP, a big data analytics platform from Intel meant as a cloud blueprint for speedier development.Continue Reading

• LBS technology expands customer service, business operations

  Many modern consumers and workers are always tuned-in to the digital world. They have laptops, tablets and smartphones that chirp and beep away with incoming messages. Those devices are also sending out information -- tweets and texts, yes -- but ...Continue Reading

• Finding a way off data isolation island

  New technology is supposed to eliminate problems. With data isolation, new business tools are only making the longstanding issue worse. Companies are amassing on-premises tools and cloud applications. And those cloud apps come in many varieties: ...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

• SQL on Hadoop sees success

  Some things just go well together, whether they were originally intended to or not. Peanut butter and jelly were probably invented by different people, but now they are most often found squished together between two slices of bread. Without SQL, ...Continue Reading

• Take on cloud-to-cloud integration, and enjoy the results

  Getting business and IT systems to communicate is no easy task -- throw in cloud apps, and it gets harder still. But sharing data today is not an option.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

• 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

• SQL-on-Hadoop roots expose myth of 'DevOps Genius at work'

  This editor has waxed poetic on the idea of the 'DevOps Genius' enough. However, a look at the history of SQL-on-Hadoop in big data analytics gives the lie to that notion.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

• 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

• MongoDB podcast: Portals portend future uses

  The Talking Data podcast goes to MongoDB World and sees enterprise uses for the NoSQL database, including a look at what payroll company ADP does with MongoDB.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

• New tools tap SQL skills in bid to boost Hadoop platform adoption

  In many organizations, Hadoop is still pushing to go beyond proof-of-concept projects. Some vendors hope new tools that enable familiar SQL querying will lead it to broader adoption.Continue Reading

• Sales intelligence tools shape strategies, customer experience

  Sales intelligence is making brainiacs out of sales reps. As companies look for ways to capture the attention of customers new and old, many are turning to analytics tools and data to help seal the deal.
  
  Some use data to shape sales ...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

• 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

• MongoDB enters world of swappable data storage engines

  MongoDB 3.0, which now has swappable data storage engine support, gained much attention at MongoDBWorld 2015, even as MongoDB 3.2 details emerged.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

• A helluva database performance begins with speed

  If you're a database administrator or developer these days, you have one wish for a database management system: Make it fast. It needs to be, because applications are requiring more and more power to run. There's in-memory processing, which can ...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

• Book author says big data NoSQL databases need proper application

  Consultant Dan Sullivan, author of "NoSQL for Mere Mortals," discusses some of the pertinent points for IT shops to consider before entering the new world of NoSQL databases.Continue Reading

• Talking Data podcast goes to data journalism and analytics school

  In this episode of the Talking Data podcast, TechTarget editors report on their experiences learning to do data journalism, including all the work needed to get data ready for analysis.Continue Reading

• Microsoft Power BI in Convergence spotlight; Apache Spark draws interest

  While Power BI took center stage at Microsoft Convergence, many users are struggling with CRM basics. Also: insight on the Spark processing engine.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

• Relational database design tips to boost performance

  As relational database management systems handle more and more data, a strategic approach to data modeling has become vital.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

• Sort through types of database management systems before you buy

  The database management system lies at the center of any organization's business activities. It houses the data that pumps life into operations and analytics applications and ensures that it's managed and manipulated securely. But the types of ...Continue Reading

• With database management tools, never settle

  They're the heart of it all, pumping data to applications and business processes. But the sheer number of products on the market can boggle any mind.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

• Hadoop, big data haven't eclipsed data warehousing jobs -- yet

  Hadoop and big data technologies may grab headlines, but there's still a place for traditional data warehousing skills, according to careers expert Matt Mueller.Continue Reading

• A glimpse into the future reveals business apps in the cloud

  Not too long ago, few organizations considered putting all their business apps in the cloud. Moving applications off-premises was an innovative tech experiment only the most adventurous undertook. Today it's a different story. Cloud computing is ...Continue Reading

• Are your business applications in the cloud?

  The crystal ball says business applications will be in the cloud -- someday. That may be. But not all organizations are ready to put them there.Continue Reading

• Apache Spark meets the PDP-11 -- in the end, it's just processing

  At times, it seems a Hadoop usurper, but the open source Spark processing engine is best viewed as another step on the long road of computing technology.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

• Machine learning gets boost from growing big data ecosystem

  The parallel processing platforms underpinning big data systems can help machine learning newbies and vets alike. TechTarget editors discuss how that may play out in this Talking Data podcast.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

• Taking the long view on IBM Watson

  IBM Watson carries forward the notion of cognitive computing. Our Talking Data podcast offers several views on the trend.Continue Reading

• Hadoop data lake not a place for just lounging around

  A new Gartner report says the storage repository isn’t the trouble-free panacea many observers hail it to be. New data governance practices -- and new skills -- are critical.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

• Big data analytics, dearth of standards bedevil data governance efforts

  Data governance, or managing the availability, usability, integrity and security of enterprise data, isn’t just about employing new tools. Organizations need to tie their data governance programs to business initiatives and goals. So it’s about ...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

• DBA skills must evolve, morph to cope with big data technologies

  Big data tools are changing data architectures in many companies. The effect on the skill sets required by database administrators may be moderate, but some new IT tricks are likely to be needed.Continue Reading

• Mullins: Changing DBA responsibilities highlight profession in flux

  Author Craig Mullins discusses the evolving responsibilities of database administrators due to NoSQL systems and a growing need for mixed database management system environments.Continue Reading

• Hadoop fuels TrueCar's data-driven business model

  Piles of "messy" data meet inexpensive storage as e-commerce website TrueCar builds a data-driven business with the help of a Hadoop cluster and data analytics tools.Continue Reading

• Facebook experiment points to data ethics hurdles in digital research

  A controversial Facebook research study that came to light this year provides fodder for discussions on the ethical issues involved in digital experimentation efforts.Continue Reading

• For Hadoop architecture, 'a lot of maturity' still needed

  Hadoop has yet to be as widely adopted as consultant Joe Caserta expected -- and maturity issues are a big reason, he says in a Q&A on the much-discussed big data framework.Continue Reading

• Ten years on, master data management software market comes of age

  It has been 10 years since the master data management industry emerged. MDM technology is maturing, and project success rates are on the rise -- but there's still a long way to go.Continue Reading

• Varied NoSQL technologies need careful weighing and sorting

  The number of NoSQL database options is vast, and distinct product categories occupy separate niches. That makes it imperative to understand what works best for specific applications when evaluating NoSQL software.Continue Reading

• Hadoop use cases, adoption lag behind vendor hype

  SearchDataManagement's Joe Hebert and Ed Burns discuss the gulf between Hadoop hype and enterprise adoption that was highlighted at the 2014 TDWI conference in Boston.Continue Reading

• MongoDB founder on dynamic schemas and caching as a crutch

  The train to NoSQL rode the rails of agility and scalability, according to Dwight Merriman, MongoDB co-founder.Continue Reading

• Relational database management system guide: RDBMS still on top

  This Essential Guide explores recent developments in relational databases, and their strengths and weaknesses compared with NoSQL technologies.Continue Reading

• Apache Kafka committer Jay Kreps on the way of the log

  To keep big data in motion, LinkedIn developers devised Apache Kafka, a publish-and-subscribe message dispatcher based on the concept of logs.Continue Reading

• Don't get distracted by new database technology

  Today's post-relational databases have sleek designs and promise fast performance -- but if they don't suit your business needs, they're not worth it.Continue Reading

• NewSQL database sends NoSQL technology packing at logistics exchange

  DropShip Commerce went from SQL to NoSQL to NewSQL software to run its B2B platform, settling on a NuoDB database to help support its business growth.Continue Reading

• NoSQL databases dent relational software's data processing dominance

  NoSQL software has broken the IT monopoly of relational databases, but it isn't likely to completely break the bonds between users and SQL technology.Continue Reading

• Hadoop YARN adds more application threads for big data users

  Hadoop 2's new YARN resource manager ends the distributed processing framework's marriage to MapReduce. And that broadens what Hadoop systems can do.Continue Reading

• Priming a master data management strategy for success

  Organizations should meet a few key program development goals prior to implementing an MDM initiative, according to MDM expert Anne Marie Smith.Continue Reading