Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
Open source database comparison to choose the right tool
These are four of the most popular open source relational databases available to enterprises with a comparison chart to help you find the best option to fit your data. Continue Reading
What FAIR data management means for your enterprise
The FAIR principles were made to promote the sharing of data in the research field, but their guidance can help organizations in other industries improve their own data practices. Continue Reading
New data warehouse schema design benefits business users
The Unified Star Schema is a revolution in data warehouse schema design. Learn the benefits of this new architecture and read an excerpt from a new book about it. Continue Reading
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Data warehouse vs. data lake: Key differences
Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data? Continue Reading
Apache Pulsar vs. Kafka and other data processing technologies
David Kjerrumgaard looks at how the distributed messaging platform Apache Pulsar handles storage compared to Apache Kafka and other data processing technologies. Continue Reading
The top 6 use cases for a data fabric architecture
Enterprise data fabric adoption has been on the rise as a way to ensure access and data sharing in a distributed environment. Here are the top use cases for data fabrics.Continue Reading
Data protection officer responsibilities and role importance
The data protection officer title has been growing over the last few years, and organizations are still working to grasp the full responsibilities of the role.Continue Reading
Healthcare data management challenges hold back adoption
The healthcare industry has had difficulty adopting data management best practices, but a few organizations have tackled the challenges successfully.Continue Reading
Growing enterprise benefits of augmented data management
Gartner predicts plenty of growth in the booming augmented data management market, which helps data professionals focus on insights over administrative tasks.Continue Reading
How AI data privacy can help your enterprise
Enterprises benefit in many ways from AI data privacy tools that reduce the need for manual efforts from data professionals. Read on for top use cases for the growing technology.Continue Reading
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NewSQL databases: The bridge between SQL and NoSQL
NewSQL databases attempt to provide enterprises with the top benefits of both relational and NoSQL databases on one platform. Here's a look at how NewSQL can benefit enterprises.Continue Reading
Synthetic data in healthcare advances patient analytics
Learn how synthetic data in healthcare can be beneficial across the board. Plus, get a sneak peek at a new book on synthetic data generation from O'Reilly Media.Continue Reading
3 growing applications of AI in data management
There are plenty of ways AI can augment data professionals throughout the data pipeline, from sifting through large data sets for duplicates to easing the preparation process.Continue Reading
Why you should consider a machine learning data catalog
A machine learning data catalog can benefit an enterprise in a variety of ways, from increasing access to necessary data to keeping your data sources up to date.Continue Reading
How to streamline your data cleansing process
Data cleansing is an important part of maintaining data quality, and the process is easier if you keep ahead of it by upholding governance and quality standards.Continue Reading
Top 7 data catalog use cases for enterprises
From data lake modernization to data democratization, there are many benefits to a data catalog. Experts talk about the top ways data catalog adoption can benefit enterprises.Continue Reading
Metamorphosis of Kafka Confluent event streaming technologies
Kafka Confluent event streaming tools allow data managers, analysts and developers to capture, process, store, access and analyze data streams on the fly with precision.Continue Reading
Key to data management in oil and gas is stability
Ensuring quality data management and analytics comes from following best practices, proper commitment from your organization and sticking with the plan.Continue Reading
How to choose the right database to fit your data model(s)
Choosing the right database for your enterprise applications can be a difficult process. Read on for some considerations on data platforms and model needs before making the choice.Continue Reading
Key factors for successful data lake implementation
There are many important parts to a data lake implementation, from technology to governance. Read on for the top factors to evaluate in your implementation strategy.Continue Reading
10 chief data officer trends that are reshaping the role
The chief data officer role is appearing in more industries and changing in responsibilities. Experts talk about the ways the position is evolving across enterprises.Continue Reading
Trusted data is among governance, data integration benefits
Well-conceived governance programs injected with data integration tools can overcome the inherent distrust companies have in their own data stored in multiple systems.Continue Reading
Choosing a modern data warehouse to fit your data needs
Choosing the right modern data warehouse for your enterprise data is a large task. Here are the key evaluation points to consider when choosing your platform.Continue Reading
Data governance and your master data management strategy
Strong data governance and master data management strategies typically go hand in hand. Read on to see how key factors of data governance can support your master data management.Continue Reading
Benefits of a data catalog and why you need one
Data catalogs help across enterprises, from breaking down data silos to ensuring data privacy. A new book from Technics Publications explains the benefits of data catalogs.Continue Reading
Alternative data in finance holds potentials and risks
Alternative data sources, when verified as reliable and trustworthy, can be an essential tool for financial institutions when it comes to gathering information.Continue Reading
Top -- and bottom -- 5 Apache Kafka use cases
Apache Kafka has many applications in big data, but what enterprise use cases are the best fit for the tool? Experts discuss where Kafka works best for your data.Continue Reading
Master data management best practices for insurers
For insurers, master data management holds the potential to make how they operate more efficient and effective but requires company commitment and investment.Continue Reading
How data governance and data management work together
Data governance is an important part of data management. These recommendations will help build a strong complementary relationship between the two strategies.Continue Reading
Pros and cons of the 4 best IPaaS software options
Integrating with your cloud data? Choosing between IPaaS software and vendors can be difficult. Here is a breakdown of four of the top-choice vendor offerings on the market.Continue Reading
The rise of multimodel databases to support data variety
Polyglot persistence has been the predominant answer to supporting diverse data models. But to optimize a variety of data, multimodel databases have been gaining popularity.Continue Reading
Data hub vs. data lake: Deciphering the differences
Data lakes and data hubs are approaches to data management that are typically opposed. Here are the main differences between these two storage options.Continue Reading
3 of the top use cases for graph databases
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three.Continue Reading
Data governance metrics: Data quality, data literacy and more
Statistics on data quality are the most common metrics used to track data governance programs, but other types of data-related measurements also can be applied.Continue Reading
NoSQL database comparison to help you choose the right store
With so many NoSQL databases to choose from, how can you tell which is best for your data set? Check out this comparison of some of the most popular NoSQL databases.Continue Reading
What are the main features of data catalog software?
Data catalogs are curated data portals for self-service analytics users. Learn about the capabilities of data catalog tools, vendors that sell them and how catalogs work.Continue Reading
Evaluate your data governance and privacy best practices
GDPR and CCPA have put data governance in the news. With this increase in data legislation, now is a great time to review your company's data governance policies.Continue Reading
Evaluating data warehouse platform options and your need for one
There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit.Continue Reading
Evaluating the different types of DBMS products
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS.Continue Reading
Apache Kafka version 2.4 improves streaming data performance
The latest release of the Apache Kafka open source event streaming platform adds improved replication and availability capabilities to help boost overall performance.Continue Reading
Data warehouse technologies evolve as vendors look skyward
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves.Continue Reading
Future of MongoDB could be brighter than other NoSQL engines
Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors.Continue Reading
How AI could save the enterprise data catalog
Enterprise data catalogs record all the databases and files in a corporation, but sometimes it can become out of date. Advances in AI are helping minimize the problem.Continue Reading
Data integration vs. ETL in the age of big data
Data integration provides a consistent view of business performance across multiple data sources, though it needs to keep up with the changing needs of organizations and the big data revolution.Continue Reading
Immuta introduces new features to Automated Data Governance
The new updates also bring about native Hadoop distributed file system workspaces within Immuta and more ways to integrate Immuta with other applications and tools.Continue Reading
Third-party database tools boast attractive alternatives
For companies considering third-party database tools, this handbook provides expert advice on evaluating and deploying on-premises and cloud options from third parties.Continue Reading
Database management tools from third parties make natives restless
Third-party database performance tools offer attractive alternatives to management software from DBMS vendors, provided their capabilities include orchestration, governance and integration.Continue Reading
Weighing the use of third-party database administration tools
Database expert Chris Foot details the key reasons why DBAs should consider using third-party database administration to fill gaps left by the major database manufacturers.Continue Reading
10 Apache Kafka best practices for data management pros
How can data management teams most effectively deploy and use Apache Kafka in data pipelines and streaming applications? Here are some key guidelines to follow.Continue Reading
Data management roles: Data architect vs. data engineer, others
Veteran data pro Michael Bowers differentiates between key data management positions, including their salaries and which ones can add the most business value.Continue Reading
Key components of an effective data virtualization architecture
Experts break down which elements -- both technical and nontechnical -- are most crucial to successfully deploying and managing a data virtualization architecture.Continue Reading
Big data containers gain wider appeal in system deployments
This handbook examines the use of Docker containers in Kubernetes clusters to run big data systems and offers insight on container deployment and management issues.Continue Reading
Container technologies promise more agility for big data apps
Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making.Continue Reading
Cloud database comparison: AWS, Microsoft, Google and Oracle
IT expert Chris Foot evaluates the leading cloud databases from AWS, Google, Microsoft and Oracle based on their product offerings and migration capabilities.Continue Reading
Explore data integration products for your organization
Browse through the current data integration products currently available to help you determine which tool best suits your organization's needs.Continue Reading
A comparison of open source, real-time data streaming platforms
With so many real-time data streaming tools, how do you know which is right for your organization? Experts compare Spark Streaming, Kafka Streams, Flink and others.Continue Reading
Data virtualization tools promote anywhere, anytime data access
This online handbook examines data virtualization software and how organizations are deploying and using the technology as part of their data integration processes.Continue Reading
Data virtualization benefits seen in unified views, IT agility
Through in-place integration, data virtualization platforms can provide wider access to data and simplify security and governance. But they come with some limitations.Continue Reading
Data virtualization use cases cover more integration tasks
In a Q&A, Gartner analyst Mark Beyer discusses user adoption of data virtualization software and the wider data integration uses that the technology is now handling.Continue Reading
Microservices and big data start to get closer
Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data.Continue Reading
The evolution of the data preparation process and market
Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market.Continue Reading
GDPR privacy concerns still brewing on law's first birthday
The first year of the much-debated EU data protection rule was subdued. High-profile fines for privacy breaches have yet to come, but regulators are starting to take action.Continue Reading
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 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
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
Investigate Hadoop distributions for your organization
Hadoop distributions help organizations manage mass volumes of data. It is important to research options, features and vendors before you make a final buying decision.Continue Reading
Navigate the data integration product buying process
Companies require a data integration product to help manage the constant influx of data. This buyer's guide walks through all the cases to consider before buying one.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
Google Cloud Spanner overview: 4 features to consider
Cloud Spanner's ability to offer data consistency and horizontal scalability has helped the relational database service gain traction. Learn more about its architecture.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
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
Web integration platform eases way to machine learning models
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.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 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
Graph database use cases reveal relationships in data sets
Graph databases specialize in mapping relationships in data sets, particularly complex ones. We explore how they work and the applications they're suited for.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
Open source support was central to 2018 data deals
Mergers and acquisitions unsettled the big data status quo in 2018. Open source support made these couplings a bit different than those of the past, Talking Data podcasters said.Continue Reading
Datawatch Swarm on path to combine data prep, analytics
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.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
Amazon Timestream, QLDB aim to grab more DBMS users for AWS
Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.Continue Reading
What is the difference between DBMS and RDBMS?
A relational database management system is the most popular type of database management system for business uses. Find out how RDBMS software differs from DBMS technology in general.Continue Reading
Trifacta data prep tool helps blend disparate data sources
Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts.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
Cloudera-Hortonworks merger narrows Hadoop users' options
Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.Continue Reading
5 trends driving the big data evolution
The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources.Continue Reading
Open source database software finally gets down to business
Once used primarily in web applications, open source databases are finding a place in more mission-critical business systems -- a development explored in this handbook.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
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
Four first steps for customer data management
Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs.Continue Reading
Why Spark DataFrame, lazy evaluation models outpace MapReduce
Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce.Continue Reading
Starburst finds new worlds to conquer with SQL query engine
Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still.Continue Reading
GDPR compliance requirements drive new winds of data privacy
Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.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