Evaluate

Evaluate

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

• 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

• Data warehouse vs. data lake vs. data mart: Beyond the RDBMS

  There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare.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

• 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

• 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

• U.S. data protection laws fall short in the age of big data

  Data breaches and a history of data abuse led the EU to adopt GDPR, but it might take massive scale data security crises for the U.S. to legislate similar data protection laws.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

• Expert: For BI, you must know the data integration process

  Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends.Continue Reading

• Amazon Neptune database validates graph technology, rivals say

  Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say.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

• Cloud database services get stronger push from Microsoft, Oracle

  Using cloud databases is now more a matter of when than if at many companies. There's also the question of how, as Microsoft, Oracle and AWS square off against one another.Continue Reading

• Machine learning algorithms meet data governance

  Machine learning algorithms may change computing, but they're a bit of a black box. Still, there are ways to tame them with flexible data governance, according to tech startup exec Andrew Burt.Continue Reading

• Spark and S3 storage carry forward NBC big data initiative

  Has the Hadoop elephant left the room? At NBC, ad analytics have evolved in Hadoop style, but with Spark and S3 at the core, as discussed at the Big Data Innovation Summit in Boston.Continue Reading

• Database security issues shadow distributed data architectures

  As companies distribute data across various platforms, they may need to pay more attention to securing it in databases and other repositories where security is far from baked in.Continue Reading