Features

Features

• The main picks for Hadoop distributions on the market

  Check out the current top Hadoop distribution vendors in the market to help you determine which product is best for your company.  Continue Reading

• Inside view of Tibco integration architecture planning

  Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background.  Continue Reading

• Advice on enterprise data cleansing from an SAP VP

  SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight.  Continue Reading

• Data virtualization layer feeds logical data warehouse, Agile BI

  Indiana University is using data virtualization to combine data from various source systems for analysis, as part of an initiative to improve strategic decision-making.  Continue Reading

• Data modeling software tackles glut of new data sources

  Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance.  Continue Reading

• Find the best data integration tools for your organization

  Read analysis and comparisons of data integration tools to help you select the right platform from the leading commercial and open source products currently on the market.  Continue Reading

• Data model design tips to help standardize business data

  Data models should be understandable to business users and kept to a reasonable scope, say the leaders of a data modeling initiative at England's Environment Agency.  Continue Reading

• Wayfair charts open source components course to growth

  Teams at Wayfair mix new open source tools to power customer-facing apps. In such shops, tech leaders like Ben Clark must deftly maneuver an obstacle course of data components.  Continue Reading

• 4 factors to consider in a Hadoop distributions comparison

  Examine the key characteristics necessary to evaluate in a Hadoop distribution comparison, focusing on enterprise features, subscription options and deployment models.  Continue Reading

• USAA adds data engineering skills to speed data science work

  When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers.  Continue Reading

• How data staging helped Walgreens transform its supply chain

  Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in.  Continue Reading

• Evaluate the features of data integration tools and software

  Before you evaluate and select data integration tools and software, assess which must-have, should-have and nice-to-have features match your organization's needs.  Continue Reading

• Data integration platforms take users beyond ETL software

  Discover how commercial data integration platforms help organizations manage and simplify the process of combining and sharing their increasing volumes of data.  Continue Reading

• Augmented data management draws more enterprise interest

  With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.  Continue Reading

• How to navigate the challenges of the data modeling process

  Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality.  Continue Reading

• 8 tips to improve the data curation process

  A data curation and modeling strategy can ensure accuracy and enhance governance. Experts offer eight best practices for curating data. First, start at the source.  Continue Reading

• Explore Hadoop distributions to manage big data

  Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market.  Continue Reading

• DataOps is more than DevOps for data, Delphix CTO says

  Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend.  Continue Reading

• 5 best practices for managing real-time data integration

  Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices.  Continue Reading

• Cloud data warehouse makes inroads as users spurn admin tasks

  Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration.  Continue Reading

• 5 trends for SQL Server environments as SQL Server 2019 looms

  SQL Server is undergoing new changes, as Microsoft prepares to release the 2019 version of the database software. Other changes are also on tap for SQL Server users.  Continue Reading

• 5 data management infrastructure technologies to evaluate

  It's the start of a new year -- is your organization ready to face the data management challenges ahead? Here are five technologies to consider adopting.  Continue Reading

• Advantages of graph databases: Easier data modeling, analytics

  Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets.  Continue Reading

• FaunaDB distributed cloud database hunts transactional NoSQL

  Startup Fauna has built a "relational NoSQL" database for distributed transaction processing. Data consistency and speedy builds attracted early user ShiftX.  Continue Reading

• Don't let blockchain complexity bog down business applications

  Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich.  Continue Reading

• The most useful new features in Microsoft SQL Server 2019

  SQL Server 2019 includes welcome new features, particularly updates to its indexing and high availability capabilities and added SQL Server on Linux functionality.  Continue Reading

• Neo4j graph database targets AI use cases, performance

  The Neo4j graph database is poised for use in AI applications, in which understanding data can stymie efforts. Recent updates target AI needs and performance issues.  Continue Reading

• Cloud buoys data microservices -- for on-premises systems, too

  Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations.  Continue Reading

• Mining equipment maker uses BI on Hadoop to dig for data

  BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.  Continue Reading

• Open source RDBMS uses spurred by lower costs, cloud options

  Open source technologies have become more capable alternatives to mainstream relational databases for cost-conscious users -- and the cloud makes them more accessible.  Continue Reading

• Open source DBMS software gains foothold in enterprise IT

  Open source databases are increasingly making their way into corporate IT environments, says Gartner analyst Merv Adrian in a Q&A. But some care is required.  Continue Reading

• How to manage data and the GDPR right to be forgotten

  The General Data Protection Regulation requires organizations to delete personally identifiable information if customers ask -- which can be a challenge. Experts offer four tips.  Continue Reading

• eHarmony hooks up with Redis NoSQL database for hot storage

  The Redis key-value store finds use in a system to match would-be romantic partners on dating site eHarmony, which employs a variety of NoSQL databases to make love click online.  Continue Reading

• Google Cloud data lake fuels cloud payment processing flow

  To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.  Continue Reading

• AP uses data.world platform to spread data journalism

  Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from data.world helps the Associated Press meet such needs.  Continue Reading

• GPU databases bring greater parallelism to big data processing

  GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.  Continue Reading

• CockroachDB database wagered on for scalability boost, GDPR

  CockroachDB is an open source distributed database designed for processing on a global scale, a need that online gambling company Kindred Group hopes it can meet.  Continue Reading

• What the Microsoft GDPR compliance toolkit offers for SQL Server

  The set of GDPR compliance tools that Microsoft offers for SQL Server is designed to make it easier for users of the database software to adhere to the EU's new data rules.  Continue Reading

• Data integrity protection spurs greater security spending

  As hacking, ransomware and malware attacks mount, companies place big data protection and integrity among the primary reasons for increased spending on security software.  Continue Reading

• GDPR requirements put focus on data ethics, governance

  The General Data Protection Regulation makes privacy paramount and reinforces the practice of good data governance. Will a new focus on data ethics be an important side effect?  Continue Reading

• IT teams take big data security issues into their own hands

  Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves.  Continue Reading

• Information architecture applied to big data streaming, AI

  New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI.  Continue Reading

• Cloud workloads, data lakes challenge information architecture

  Data management options are expanding; cloud workloads are an example. That means changing your approach to information architecture, says data management expert William McKnight.  Continue Reading

• Kubernetes gains momentum in big data implementation process

  Big data vendors and users are looking to Kubernetes-managed containers to help accelerate deployments and enable more flexible use of computing resources.  Continue Reading

• Data expert: GDPR deadline is an opportunity, not a burden

  There is stress as the EU's General Data Protection Regulation compliance deadline nears, but the GDPR privacy movement is a good thing for data policies, advises consultant Daragh O Brien.  Continue Reading

• Hyperledger Fabric offers path to enterprise blockchain future

  Blockchain arose from bitcoin, but it's looking to find a place in the enterprise. Frameworks like Hyperledger Fabric could smooth out the technology's rough side for business uses.  Continue Reading

• Data catalog software takes open data initiative to the streets

  Data catalog software from Alation helped San Diego's chief data officer open up the city's data to residents, as well as city planners and other government workers.  Continue Reading

• How SQL Server containers in Docker can ease database deployment

  Docker containers can make the SQL Server deployment process more efficient and flexible. Here's what they are and how to get started on creating containers for SQL Server databases.  Continue Reading

• NewSQL databases rise anew -- MemSQL, Spanner among contenders

  The NewSQL database was almost hidden when Hadoop and NoSQL arose. Now, as more big data teams move toward production uses, MemSQL, Cloud Spanner and similar products may get a second look.  Continue Reading

• Bank sees ETL processes evolve from IT to front-line users

  ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.  Continue Reading

• Data management processes take on a new tenor in analyst's view

  Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett.  Continue Reading

• A look at the leading operational database management systems

  The market for operational DBMS products can be confusing, especially with so many choices. But knowing your application requirements can help point you in the right direction.  Continue Reading

• Microsoft SQL Server 2016 relational DBMS overview

  Microsoft SQL Server 2016 for Windows comes in four editions, with updates that include a new stretch database feature, Polybase, dynamic data masking and more.  Continue Reading

• Reltio master data management architecture rides graph analytics wave

  An onslaught of unstructured data, social and otherwise may change the nature of master data management platforms. Reltio Cloud may stand as an indicator.  Continue Reading

• Examining the top data governance tools on the market

  Expert John Ladley examines the leading data governance software products, comparing and contrasting their features to help you determine which tool will best meet your needs.  Continue Reading

• Alation Data Catalog helps provide collaborative data governance

  Alation Data Catalog provides business analysts and data stewards with search and discovery, governance and collaboration functionality, and automates many data governance tasks.  Continue Reading

• What you should know about Collibra Data Governance Center

  Collibra Data Governance Center is a repository- and workflow-oriented data governance platform that also offers features for data management and data stewardship.  Continue Reading

• How to narrow down your choices for buying a data governance tool

  Evaluating and selecting a data governance tool depends on not only features and functionality, but also how you will use the tool to add value to your organization.  Continue Reading

• Exploring the features of Oracle Enterprise Manager 13c

  Cloud Control, a feature of Oracle Enterprise Manager 13c, can be used to monitor and manage databases, middleware, infrastructure and hardware running on-premises or in the cloud.  Continue Reading

• Inside BMC's database performance tools for DB2 for z/OS

  BMC offers several tools to help DBAs manage and prevent critical performance issues in DB2 for z/OS, as well as monitoring options for other vital mainframe subsystems.  Continue Reading

• Inside the SAP Data Services data integration tool

  SAP Data Services can be used alone or with other SAP products to provide data integration, transformation, data quality, data profiling and text data processing.  Continue Reading

• An overview of the Pentaho Data Integration platform

  The Pentaho Data Integration platform enables organizations to integrate, blend, convert and transform data from any data source across their entire enterprise.  Continue Reading

• Examining the functions and features of database performance tools

  To help you determine which tools your organization needs, it's important to review the primary features and functionality of the three database performance tools categories.  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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Conversation with Monash: On horses for courses and parallelism

  Data industry viewer Curt Monash discusses parallelism and more as new databases gain attention. Part 1 in a series.  Continue Reading

• Former shadow IT worker helps bring analytics data into the light

  Ryan Fenner worked in a shadow IT unit at Union Bank for years. Now he's helping lead an IT effort to better manage BI data created in those shadows.  Continue Reading

• Supermarket co-op stocks up on big data platform to help spur sales

  Co-operative Allegiance Retail Services is deploying a cloud-based big data stack to replace a homegrown system that fell short on analytics power.  Continue Reading

• Identifying data quality issues via data profiling, reasonability

  In a book excerpt, author Laura Sebastian-Coleman explores data profiling, data issue management and using reasonability checks in assessing quality.  Continue Reading

• Dissecting data measurement: Key metrics for assessing data quality

  In a book excerpt, data quality architect Laura Sebastian-Coleman explains data assessment terminology and details a framework for measuring quality.  Continue Reading

• Big data, fast: Avoiding Hadoop performance bottlenecks

  A variety of performance issues can bog down Hadoop clusters. But there are ways to sidestep the pitfalls and keep your big data environment humming.  Continue Reading

• Big data adds new complications for data stewards

  In order to accommodate big data and the needs of data scientists, data stewards will need to adjust to a more short-term view of data stewardship.  Continue Reading

• Gartner describes the building blocks for a strong MDM program

  MDM teams should consider these seven building blocks, outlined by Saul Judah, research director on the information management team at Gartner Inc.  Continue Reading

• Enterprise data quality efforts in good company with MDM, governance

  Combining data quality initiatives with master data management and data governance programs can help ensure that data remains accurate and consistent.  Continue Reading

• Successful data stewardship framework needs solid plan, firm focus

  Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.  Continue Reading

• Data stewardship program: Quality booster, but a hard step for many

  While data stewardship can help improve the quality of corporate data, analysts say there's more talk than action when it comes to adopting the concept.  Continue Reading

• Make communication, purpose priorities in a data governance program

  Data governance can be all bureaucracy and no benefit. To avoid that, managing the process effectively is a must, says consultant Danette McGilvray.  Continue Reading

• Mission impossible? Data governance process takes on 'big data'

  Effective governance can help companies get the most out of their "big data" environments. But at this point, there's no formula for how to do that.  Continue Reading