Evaluate

Evaluate

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

• Synthetic data vs. real data for predictive analytics

  Synthetic data helps simulate rare events and meet privacy compliance, while real data preserves natural variability needed to evaluate models against unpredictable conditions. Continue Reading

• Is cloud data backup and recovery right for you?

  Still not sure if cloud data backup and recovery is the best choice for your organization? Here are six questions for IT managers to consider when making the move to cloud. Continue Reading

• Data lake vs. data warehouse: Key differences explained

  Data lakes and data warehouses differ in structure, processing and use cases, offering distinct advantages for enterprise analytics and data strategies. Continue Reading

• Data warehouse vs. data mart: Key differences and use cases

  Data warehouses support integrated, governed reporting, while data marts offer faster, focused insights. Together they provide scalable, adaptable data strategies. Continue Reading

• Why Apache Iceberg is essential for modern data lakehouses

  Organizations adopt Apache Iceberg to build open data lakehouses that support high-performance analytics, multi-cloud strategies and warehouse-grade reliability. Continue Reading

• 7 top cloud-based analytics tools for enterprise use

  Cloud-based analytics tools offer flexible deployment, advanced visualization and integration capabilities to help organizations turn data into actionable insights.Continue Reading

• Why data platforms matter for AI agents and MCP success

  AI agents and Model Context Protocol systems depend on fast, scalable access to diverse data. Modern data platforms deliver that access across fragmented enterprise environments.Continue Reading

• What is data preparation? An in-depth guide

  Data preparation is the process of gathering, combining, structuring and organizing data for use in business intelligence, analytics and data science applications, as explained in this guide.Continue Reading

• 8 data sanitization software options for businesses

  These eight data sanitization software options can help backup administrators protect sensitive information, ease compliance and strengthen data security.Continue Reading

• 8 top cloud analytics certifications

  Cloud data analytics certifications enhance careers and business efficiency. Compare costs, skills taught and time required to earn top credentials.Continue Reading

• The difference between data cleansing and data transformation

  Data cleansing corrects errors to improve data quality, while data transformation changes data format and structure to support analytics processes.Continue Reading

• Unified databases: A powerhouse behind generative AI success

  Unified databases support generative AI (GenAI) by integrating all data types into a single platform, streamlining infrastructure and improving scalability, speed and trust.Continue Reading

• 8 top self-service analytics tools

  Self-service analytics tools, such as Power BI, Tableau and Qlik, help users analyze data independently with AI, automation and intuitive dashboards.Continue Reading

• 10 multi-cloud backup considerations for admins

  Using a multi-cloud data backup strategy can be good for data protection, but make sure that the providers are a good fit for your business first.Continue Reading

• Compare SaaS data retention policies from 5 major providers

  How long is your SaaS platform keeping your data? Learn how these five popular vendors handle data retention.Continue Reading

• The pros and cons of self-service analytics

  Self-service analytics lowers skill barriers for data use but does require training and financial investment. Evaluate the pros and cons before deciding if it's the right fit.Continue Reading

• 7 data storytelling examples: How to turn data into stories

  Various techniques can be used to tell data stories. Here are seven examples of data storytelling approaches implemented by practitioners to create effective stories.Continue Reading

• 9 best practices for self-service analytics

  Expecting business benefits from an analytics platform everyone can use? Take the right steps before putting the tool into users' hands.Continue Reading

• AI's appetite for data is changing data requirements

  AI relies on high-quality real-time data. Companies that fail to modernize their data strategies risk falling behind, while those that adapt unlock AI's competitive advantage.Continue Reading

• Turning data into a strategic advantage

  To transform data from a burden into an advantage, improve data management strategies, break down data silos, invest in analytics capabilities and build a data-driven culture.Continue Reading

• People-centered business continuity is critical in the age of AI

  Recent crises such as the CrowdStrike outages and California wildfires show why people-centered business continuity is crucial. Learn how to shift the focus to people here.Continue Reading

• 16 top data governance tools to know about in 2025

  Data governance software can help organizations manage governance programs. Here's a look at the key features and capabilities of 16 prominent governance tools.Continue Reading

• Data management 2025 predictions: Bringing generative AI to enterprise data

  Organizations pursuing generative AI tools in 2025 will focus on making sure their data is AI-ready. The tools must work internally before consumers might see options next year.Continue Reading

• Can Cohesity and Veritas define data protection's future?

  Moving forward, the combined firm's leadership will be under pressure to make good on its long-term vision.Continue Reading

• 20 top business intelligence tools to know about in 2025

  To help you find the right BI software for your analytics needs, here's a look at 20 top tools and the key features that differentiate them from other technologies.Continue Reading

• What is business intelligence (BI)? A detailed guide

  Business intelligence, or BI, is a technology-driven data analysis process that helps an organization's executives, managers and workers make informed business decisions.Continue Reading

• 6 data preparation best practices for analytics applications

  Analytics applications need clean data to produce actionable insights. Six data preparation best practices can turn your messy data into high-quality fuel for analytics operations.Continue Reading

• Vectorized data uses see resurgence with generative AI

  Advancements in generative AI are driving renewed interest in vector databases. Organizations have also found new uses for the established technology.Continue Reading

• 10 top benefits of business intelligence for companies

  By using BI tools to analyze data and drive better business decisions, organizations can improve their operations and gain the benefits and advantages outlined here.Continue Reading

• How to measure data literacy in the AI era

  Improving data literacy as an individual or organization starts with measuring where you are. An AI and data framework provides six criteria to track progress.Continue Reading

• Traditional BI vs. self-service BI: Differences and uses

  Traditional and self-service business intelligence are different approaches to BI initiatives. Here's what you need to know to decide which is right for your BI needs.Continue Reading

• When to use a mirrored site disaster recovery

  Mirrored disaster recovery sites are a good fit for businesses that require rapid failover and have the right resources to build a duplicate data center.Continue Reading

• Data-driven decision-making case study: Indeed

  Putting data-driven decision-making into practice can be difficult. Indeed shares three examples of how it uses data to improve the user experience and employee workflows.Continue Reading

• 4 open source emergency management tools for DR teams

  Emergency management can be a hectic and expensive process. Open source tools can help keep costs down and pool information from a wide array of resources.Continue Reading

• How to improve backup performance

  Achieving and maintaining optimal backup performance is a continuous process that requires a proactive approach to monitoring, analysis and optimization.Continue Reading

• 6 open source data recovery software options to consider

  Data loss can plague just about every organization, and costs of recovery can add up. Open source software tools provide a reliable, cost-effective recovery option.Continue Reading

• 5 reasons to use AI and machine learning in a data warehouse

  Using AI and ML in a data warehouse gives the whole organization a single source of truth that can align decision making and foster better insights.Continue Reading

• Use network fault monitoring to prevent malfunctions

  Network fault monitoring systems are essential tools to optimize network performance and availability. They are also key components of proactive disaster recovery.Continue Reading

• Metadata management tools: 9 top options to fulfill key needs

  Metadata management tools can range from comprehensive packages of many features to masters of a specific niche. Consider 9 of the top options to find which fits your needs best.Continue Reading

• Evaluate 8 of the top embedded analytics tools

  Selecting the right embedded analytics tool for your organization can be difficult. Use general criteria to evaluate eight of the top options and decide if one is the right fit.Continue Reading

• Example disaster recovery plan for small businesses

  Small businesses make significant investments in IT infrastructure. They must protect those investments from unplanned and potentially destructive events with a DR plan.Continue Reading

• What Veeam's backup support of Proxmox means for SMBs

  Proxmox has officially entered the virtualization platform conversation. The addition of Veeam backup support provides smaller organizations an alternative to pricier VMware tools.Continue Reading

• Collaborative business intelligence helps users connect data dots

  Social BI enables users to interact with their organization's data -- and data experts -- in applications where they already collaborate and work.Continue Reading

• 6 business continuity plan software providers to know

  Business continuity planning software can help organizations create a plan that automates time-consuming processes and accounts for critical aspects such as regulatory compliance.Continue Reading

• AR and VR data visualizations offer promising future

  AR and VR data visualizations offer a new perspective to capture patterns and trends in complex data sets that traditional data visualizations struggle with.Continue Reading

• Generative AI shines spotlight on data governance and trust

  Generative AI creates new opportunities for how organizations use data. Strong data governance is necessary to build trust in the data AI models use.Continue Reading

• 10 top data discovery tools for insights and visualizations

  Data discovery can use sampling, profiling, visualizations or data mining to extract insights from data. These 10 top tools differ in scalability, performance and other features.Continue Reading

• Should you use open source for enterprise disaster recovery?

  With research and planning, businesses can benefit from using open source software for enterprise DR. But IT teams must be mindful of hidden costs and data protection capabilities.Continue Reading

• Cloud database comparison: AWS, Microsoft, Google and Oracle

  Here's a look at the rival cloud database offerings from AWS, Google, Microsoft and Oracle based on their product breadth, migration capabilities and pricing models.Continue Reading

• Top 6 data fabric tools providers

  Organizations that want a data fabric architecture should consider how six top vendors use their suite of tools to support a range of data management, automation and AI capabilities.Continue Reading

• The top augmented analytics tools vendors are offering

  Augmented analytics tools play a crucial role in providing users of all technical skills levels access to AI and analytics daily. Consider 10 of the top options available.Continue Reading

• What is data architecture? A data management blueprint

  Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data, as this guide explains.Continue Reading

• Evaluate and choose from the top 10 data profiling tools

  Any effective data quality process needs data profiling. Evaluate key criteria to select which of the top 10 data profiling tools best fits your needs.Continue Reading

• Data readiness unlocks the potential of AI

  AI models rely on data to function. Before implementing AI, make sure your data can support initiatives by evaluating its quality, accessibility, integration and governance.Continue Reading

• Agent vs. agentless backup: Which is the best option?

  In the debate between agent-based and agentless backups, agentless tends to win out. However, factors such as environment and hypervisor capabilities can impact that decision.Continue Reading

• Managing databases in a hybrid cloud: 10 key considerations

  To manage hybrid cloud database environments, consider business and application goals, consistency, configuration management, synchronization, latency, security and stability.Continue Reading

• Data profiling vs. data mining: Why you need both

  Data mining and data profiling have different roles. Using one without the other is not an option for data management operations that want quality data and usable insights.Continue Reading

• When is multi-cloud disaster recovery the right choice?

  A multi-cloud disaster recovery strategy has numerous benefits, including enhanced resilience. It also brings in several technical and organizational hurdles for IT teams.Continue Reading

• What is a data protection officer (DPO) and what do they do?

  Today's DPO must juggle technical, legal and collaborative skills in the shadow of more sophisticated data breaches, tougher data privacy laws and generative AI deployments.Continue Reading

• What is data protection and why is it important?

  Data protection is the process of safeguarding data and restoring important information in the event the data is corrupted, compromised or lost due to cyberattacks, shutdowns, intentional harm or human error.Continue Reading

• Open source vs. proprietary database management

  Open source and commercial databases are alternative options to help streamline data management processes. Examine the pros and cons of each approach.Continue Reading

• Data protection vs. security vs. privacy: Key differences

  Data protection, privacy and security might look alike but their differences can make or break a comprehensive compliance program to collect, manage, access, erase and secure data.Continue Reading

• 7 principles of the GDPR explained

  The GDPR's seven data protection principles on the lawful processing of data are directly influencing the way businesses collect, store, erase and monetize personal information.Continue Reading

• Customer segmentation analytics evolve with GenAI, ML

  GenAI, machine learning and advanced analytics techniques automate time-consuming aspects of customer segmentation, freeing up analysts to find insights and create value.Continue Reading

• Data protection vs. data backup: How are they different?

  They might be viewed as separate functions, but data backup should be part of an overall data protection strategy to thwart ransomware and comply with stringent privacy laws.Continue Reading

• 6 business benefits of data protection and GDPR compliance

  Complying with GDPR and avoiding severe fines is a primary goal of businesses, but the data governing principles and security tools to achieve compliance yield systemic benefits.Continue Reading

• Trusted data is the foundation of data-driven decisions, GenAI

  Any organization that wants to drive decision-making with data or use generative AI won't succeed without understanding how to cultivate trusted data.Continue Reading

• On-premises vs. cloud data warehouses: Pros and cons

  Data warehouses increasingly are being deployed in the cloud. But both on-premises and cloud data warehouses have pluses and minuses to consider, as explained here.Continue Reading

• What is BCDR? Business continuity and disaster recovery guide

  Business continuity (BC) and disaster recovery (DR) are closely related practices that support an organization's ability to remain operational after an adverse event.Continue Reading

• Data management and governance key to successful AI use

  AI's effectiveness is limited by data quality. Building strong data management and governance programs are crucial to handling the challenges that AI presents to organizations.Continue Reading

• Real-time analytics, vector search accelerate time to insights

  Real-time analytics and vector search capabilities reduce time to insights, enabling data-driven organizations to make faster decisions and generate value from their data.Continue Reading

• Unlock the value of data through AI, modern data platforms

  Organizations looking to harness the power of generative AI to unlock data value should combine it with the modern data platform to maximize performance and efficiency.Continue Reading

• Companies still grappling with building modern data platforms

  Data platforms are crucial for managing and delivering data efficiently, but a recent survey from Enterprise Strategy Group showed that companies still struggle to implement them.Continue Reading

• Why noninvasive data governance is the best approach to use

  Organizations typically approach data governance with top-down or traditional approaches. Consultant Robert Seiner discusses what makes his noninvasive approach the best option.Continue Reading

• Explore the benefits of AI for DataOps

  Enterprise Strategy Group research shows most organizations feel they need AI to unlock the full potential of DataOps and improve data pipeline performance.Continue Reading

• Organizations identify DataOps as driver to improve data use

  An overwhelming majority of organizations report plans to increase DataOps spending. Continued investments target real-time, quality data-driven decision-making and insights.Continue Reading

• Cloud backup and disaster recovery evolve toward maturity

  Christophe Bertrand, of TechTarget's Enterprise Strategy Group, discusses survey results on data protection initiatives in the cloud and challenges for organizations.Continue Reading

• Data protection and security: A marriage of necessity?

  The data protection market is fundamentally changing. An increased focus on cybersecurity and resilience efforts should shift how an organization views backup.Continue Reading

• GenAI, Vector AI Search, multi-cloud top Oracle CloudWorld

  Oracle CEO paints a bright picture of the future with generative AI, shares integration plans and expands Microsoft partnership.Continue Reading

• Security a top challenge in building a modern data platform

  Modern data platforms help manage large volumes of data and empower real-time decision-making. It starts with overcoming the top challenges organizations identify.Continue Reading

• Advanced analytics challenges limit analytics, AI benefits

  Traditional advanced analytics are not going to disappear with the rise of generative AI. Cultural and quality challenges hinder organizations as attention shifts to new trends.Continue Reading

• Data quality fuels analytics, AI

  Data quality is tied to organizations' ability to gain actionable data from analytics and AI processes, and orgs that implement data quality tools can make faster decisions.Continue Reading

• Cloud data warehouse book challenges data assumptions

  Dr. Barry Devlin's book lays out the principles of cloud data warehousing and challenges data managers to evaluate what they need when choosing a data warehouse approach.Continue Reading

• Evaluate cloud data warehouses based on data, outcomes

  Organizations must focus on data and desired outcomes -- and question their assumptions -- when evaluating cloud data warehouse needs, according to industry expert Dr. Barry Devlin.Continue Reading

• 5 benefits cloud BI has over on-premises options

  BI moving from on premises to the cloud taps into operational improvements and benefits. Optimizing these tools creates a more customized, user-friendly experience.Continue Reading

• Key backup-as-a-service benefits that help keep data safe

  Backup as a service offers several advantages, from easy deployment to better protection for a changing climate. Find out how your organization can reap the benefits of BaaS.Continue Reading

• Clear the confusion of advanced vs. predictive analytics

  Advanced and predictive analytics are sometimes used as interchangeable terms. Users need to understand the differences of advanced analytics techniques to maximize insights.Continue Reading

• 8 ways to drive business value with advanced analytics

  It can be difficult to get buy-in for analytical operations. These eight bottom-line benefits of data analytics -- with real-world examples -- can win over execs.Continue Reading

• Cohesity's catalysts: AI, cyber resilience and partnerships

  Cohesity adds new AI capabilities to its data platform to improve cyber resilience and data management, while touting partnerships and responsible AI.Continue Reading

• 6 ways Amazon Security Lake could boost security analytics

  Amazon's new security-focused data lake holds promise -- including possibly changing the economics around secure data storage.Continue Reading

• How AI might change the data protection space

  AI is making waves throughout IT, including in backup and disaster recovery. Learn where AI is being used for data protection and where it might be headed.Continue Reading

• Data stack benefits evolve with modernization

  Modernizing data operations changes the way organizations use data stacks. Industry experts share definitions for the new form of data stacks, what it includes and its benefits.Continue Reading

• Empower decision-making with real-time insights

  Using the right strategies is a crucial key to unlocking the benefits of real-time analytics and empowering organizations with agile data-driven decision-making.Continue Reading

• Mainframe databases teach an old dog new survival tricks

  Long predicted to fade away in favor of more modern architectures, mainframes still play an integral role in corporate IT strategies, thanks to advances in database software.Continue Reading

• Data mesh vs. other data management options

  Data mesh takes a decentralized approach to data management and deriving value from data. It shares similarities with data warehouses, lakes and fabrics, but differs in philosophy.Continue Reading

• Informatica World 2023: Cloud, data and AI together

  Informatica launched the generative AI Claire GPT product and plans to offer Intelligent Data Management Cloud as a Microsoft Azure Native ISV Service.Continue Reading

• Modernizing a data warehouse for real-time decisions

  Updating a data warehouse to improve scalability, flexibility, security and speed is necessary to keep pace with real-time analytics demands.Continue Reading

• QlikWorld 2023 recap: The future is bright for Qlik

  Qlik celebrated analytics advancements at QlikWorld 2023, highlighting its acquisition of Talend, the evolution of Qlik Cloud, efforts to build data trust and more.Continue Reading

• No, magic backup people aren't protecting your SaaS data

  Are your SaaS-based applications protected? Organizations that rely on the SaaS vendor for backup and recovery face a tough road ahead. Don't skimp on internal backup measures.Continue Reading

• Construct an event-driven architecture for real-time operations

  Event-driven architecture is one tool to tap into the potential of real-time analytics. Organizations should understand the structure and challenges of EDA to get started.Continue Reading