Evaluate

Evaluate

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

• Benefits of data mesh might not be worth the cost

  Data mesh can improve an organization's data quality and insights, but significant challenges can make these benefits difficult to achieve. Continue Reading

• 10 tools to level up streaming analytics platforms

  Streaming analytics platforms take real-time data and generate insight and value for organizations. Choosing the right tool from these options will help unlock benefits. Continue Reading

• Technology decisions and technical debt in data protection

  In this video, two expert analysts discuss digital transformation, IT spending and technical debt, as well as how these topics fit into a data protection strategy. Continue Reading

• Book excerpt: Data mesh increases data access and value

  Zhamak Dehghani, a pioneer in data mesh technology, discusses how the concept decentralizes data to improve data-related decision-making and value in her book. Continue Reading

• What's all this talk about data mesh?

  Data mesh brings a variety of benefits to data management, but it also presents challenges if organizations don't have the right culture and infrastructure in place. Continue Reading

• Data protection for SaaS-based apps is a work in progress

  Organizations with SaaS-based applications are still relying on the providers for data protection, even though the vendors are rarely responsible for SaaS data backups.Continue Reading

• Cloud backup vs. cloud storage: What are the differences?

  Comparing cloud backup vs. cloud storage differences can be confusing, and file sync and share further complicates things. Here's what you should know to determine which is best.Continue Reading

• What are the pros and cons of cloud backup?

  Know which type of cloud backup you want to use and the advantages and disadvantages that come with cloud backups before you trust your data to a third-party provider.Continue Reading

• 3 data protection and governance predictions for 2023

  How should backup teams prepare for a new year? Data protection pros can adjust to a changing IT landscape by keeping an eye on ransomware, data governance and compliance.Continue Reading

• ESG predicts 2023 shifts for DataOps, data management

  Organizations are using cloud technologies and DataOps to access real-time data insights and decision-making in 2023, according to Enterprise Strategy Group research.Continue Reading

• 3 enterprise ROBO backup factors admins should think about

  Remote office data backup comes with its own unique challenges and considerations. Backup type and media can be affected by the ROBO locations and staffing needs, so choose wisely.Continue Reading

• Data-centric developer responsibilities evolve in 2022

  Enterprise Strategy Group Analyst Stephen Catanzano discusses how data-centric developer responsibilities are evolving as technological advancements enable more data use.Continue Reading

• Organizations capitalize on intelligent data management

  Intelligent data management concepts are opening new avenues for organizations to make better data-centric decisions and extract more value from their data.Continue Reading

• Comparing DBMS vs. RDBMS: Key differences

  A relational database management system is the most popular type of DBMS for business uses. Find out how RDBMS software differs from other DBMS technologies.Continue Reading

• Full vs. incremental vs. differential: Comparing backup types

  Evaluate full vs. incremental vs. differential backup, as well as newer types of backup, in synthetic and incremental-forever, to determine what's best for your organization.Continue Reading

• AWS DataZone headlines AWS re:Invent 2022

  AWS DataZone will enable the sharing, search and discovery of data at scale with less risk. It is one of many data advancements announced at AWS re:Invent 2022.Continue Reading

• Evaluating data warehouse deployment options and use cases

  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

• Simulation and predictive analytics boost forecast capabilities

  Simulation and prediction analytics cover two different ways to forecast data. Together, they can boost capabilities, but organizations must craft them carefully to trust the results.Continue Reading

• 7 expert recommended data observability tools

  Commercial data observability tools can offer organizations pre-built components and plenty of vendor support for data use cases including monitoring, security and decision-making.Continue Reading

• Ransomware preparedness: The long road ahead

  Is your organization ready for ransomware? A recent survey shows that businesses in a variety of industries are all struggling with ransomware prevention and recovery.Continue Reading

• What makes up an analytics pipeline?

  Analytics pipelines were traditionally hidden away, but they're changing as more organizations focus on agility for their data. Learn what makes up a successful analytics pipeline.Continue Reading

• 6 data observability open source tools to consider

  Learn about six data observability open source options helping organizations pursue data science experiments that are more budget-friendly and flexible than commercial tools.Continue Reading

• Big Data London focuses on future of data-driven strategies

  At Big Data London, data quality and intelligence took center stage as companies strive for fast and efficient delivery of quality information -- and the vendors to make it happen.Continue Reading

• The future of DataOps trends in 2023 and beyond

  DataOps is a growing tool for organizations looking to efficiently distribute accurate data to users. Learn the DataOps trends teams must understand as it evolves.Continue Reading

• 7 data quality best practices to improve data performance

  Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. These seven data quality best practices can help improve performance.Continue Reading

• Top 4 self-service BI benefits for organizations

  Self-service BI tools benefit organizations in four major ways, including improved decision-making, organizational efficiency, increased collaboration and reduced costs.Continue Reading

• Where does AI fit into a risk assessment strategy?

  AI is a helpful way to take a different look at risk assessment and disaster recovery. AI sifts through massive amounts of risk data without the typical constraints of DR teams.Continue Reading

• The importance of continued business analytics education

  Business professionals can expand career opportunities by engaging in educational resources for business analytics, a key driver of data-driven decision-making and business success.Continue Reading

• How to evaluate and select data visualization tools

  Communicating data findings requires clear and informative visuals. Selecting the right tool starts with knowing the criteria to evaluate data visualization tools.Continue Reading

• Best practices and pitfalls of the data pipeline process

  Developing an effective data pipeline process is a key step for organizations to manage data sources, flow and quality. A data pipeline also ensures approved data access.Continue Reading

• How AI adds value to crisis communications systems

  AI provides key enhancements to existing emergency notifications systems that can reduce the amount of time a business needs to effectively prepare for and respond to a crisis.Continue Reading

• New approaches create opportunity to turn data into value

  Bill Schmarzo, a data science industry thought leader, discusses how organizations can reframe their view of data using economic concepts to turn data into value.Continue Reading

• Improve data value by relying on economic principles

  Bill Schmarzo, author of 'The Economics of Data, Analytics, and Digital Transformation,' discusses how organizations can improve data value by incorporating economic concepts.Continue Reading

• The ultimate guide to big data for businesses

  Big data is the fuel for today's analytics applications. This in-depth big data guide explains how businesses can benefit from it and what they need to do to use it effectively.Continue Reading

• The top backup and disaster recovery services of 2021

  Products of the Year winners in the backup and disaster recovery services category wowed judges with their innovation, ransomware protection and scalability.Continue Reading

• 7 benefits of BI dashboards for businesses

  To reap the full benefits of BI dashboards, they need to be designed to empower end users and improve the efficiency of BI software and the decision-making process.Continue Reading

• 5 challenges IT faces using open source data management

  There are a variety of open source challenges for data management software, including lack of real-time BI access, miscalculating costs and underestimating the resources required.Continue Reading

• What is predictive analytics? An enterprise guide

  Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends.Continue Reading

• Box backup tips, options and considerations

  Backing up Box data? Look at your organization's retention policies, compliance requirements and complementary tools to form a solid Box backup strategy.Continue Reading

• The benefits of embedded analytics

  The top business benefits of embedded analytics and BI include improving sales, gaining competitive advantages and getting maximum value from data to improve performance.Continue Reading

• IT resilience management, planning top of mind for DR pros

  Resilience is a key issue for disaster recovery pros. This year, readers sought to build up their skills and learn more about the role of resilience in DR.Continue Reading

• Benefits of predictive analytics for businesses

  Predictive analytics' ability to forecast the future based on patterns in past data can give businesses a huge edge. Read about how to use this advanced form of business analytics.Continue Reading

• Descriptive vs. prescriptive vs. predictive analytics explained

  Analytics provides insight into the data today's businesses run on. Learn about the three main modes -- descriptive, prescriptive and predictive analytics -- and two variants.Continue Reading

• The business benefits of automating and embedding BI

  Automated insights and embedded BI are getting decision-makers the data needed to make quick decisions, accelerate business processes and lessen manual work required.Continue Reading

• Data backup in 2021 emphasized data protection and privacy

  As organizations adopt new working models worldwide, data backup has changed too. Review options for data protection to ensure backups are optimized for security and privacy.Continue Reading

• 7 top predictive analytics use cases: Enterprise examples

  Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics in 2022.Continue Reading

• What is the role of qualitative and quantitative impact in DR?

  Disaster recovery planners use several metrics to craft a plan suited to their organizations. Quantitative and qualitative impact are two helpful metrics in a recovery strategy.Continue Reading

• The benefits and pitfalls of cloud-based data management systems

  Learn the benefits of cloud-based data management systems, common pitfalls and strategies when considering varying data levels and industry needs.Continue Reading

• Data science vs. machine learning vs. AI: How they work together

  Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations.Continue Reading

• Zerto vs. Veeam: Compare 2 disaster recovery providers

  Cloud failover, automation and orchestration are just a few of the features to consider in comparisons of Veeam and Zerto. See how the two DR products compare.Continue Reading

• 14 most in-demand data science skills you need to succeed

  The demand for data scientists continues to grow, but the job requires a combination of technical and soft skills. Here are 14 key skills for effective data scientists.Continue Reading

• Bill Inmon's data warehouse approach tackles text analysis

  Learn the fine points of a concept at the heart of 'The Textual Warehouse' a new book that aims to help organizations profit through textual analysis.Continue Reading

• SaaS data protection is a challenging but critical task

  Don't fall victim to a SaaS backup gap. Ensure critical data in cloud-based SaaS applications has proper protection, especially with increased cloud use.Continue Reading

• Quiz: Big data analytics technologies and techniques

  Big data analytics technologies and techniques can help you gain valuable business insights. Take this quiz to test your knowledge of big data analytics tools and best practices.Continue Reading

• Best practices for cloud database management systems

  Learn best practices to streamline cloud database management to benefit business performance, compliance audits and business continuity.Continue Reading

• The pros and cons of big data outsourcing

  More companies are seeking outside help to capitalize on data's value. Examine the benefits and drawbacks that come with outsourcing big data processing projects.Continue Reading

• Data protection experts weigh in on SaaS backup confusion

  Recent research from ESG shines a light on a potentially troublesome misunderstanding about SaaS data backup and protection.Continue Reading

• The value of PDF data extraction: Sifting for hidden data

  During the process of data cleaning, there's a way to extract valuable hidden data. Learn how in this excerpt from 'Cleaning Data for Effective Data Science.'Continue Reading

• Data modeling vs. data architecture: What's the difference?

  Data modelers and data architects have distinctly different roles, but they work in a complementary fashion to help enterprises unlock and capitalize on data's business value.Continue Reading

• What an automated data integration implementation means

  Automated data integration can reduce time spent by data professionals on repetitive tasks. Learn about strategies to help implement automated data integration.Continue Reading

• Organizational resilience questionnaire for recovery teams

  Following organizational resiliency standards such as ISO and BSI can prepare organizations for disaster. These questions provide a starting point to validate OR readiness.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

• Does hiring a freelance data scientist make sense for you?

  Enterprises need to make the right hiring choices when it comes to supporting their data projects. Here are some reasons your company may or may not consider hiring a freelancer.Continue Reading

• Edge data protection tips and tricks

  Edge computing is on the rise, and more IT teams are looking for ways to protect decentralized data. Our experts look at some ways to protect and store data generated at the edge.Continue Reading

• Tips to prep for a data science interview

  Interviewing is an important first step toward a data science job. Here's advice for what questions to expect and how a little research can help with the technical screening.Continue Reading

• How data governance and data quality work together

  High-quality, reliable data is essential to the data governance process. Here are strategies to ensure data quality standards are ingrained in governance processes.Continue Reading

• Cloud-native backup benefits and use cases explained

  Affordable and scalable data protection is only a cloud away. Learn why cloud-native services are emerging as essential data backup and recovery technology for many organizations.Continue Reading

• Decode the backup-as-a-service market

  The rapidly growing BaaS market has gained steam in the past year. See why organizations are adopting BaaS and which providers they use.Continue Reading

• How to build an all-purpose big data pipeline architecture

  Like a highway system with many on- and off-ramps, an enterprise's big data pipeline transports massive amounts of collected data from its sources to its destinations.Continue Reading

• Data scientist job outlook in post-pandemic world

  There was a lull in hiring for one of the hottest jobs in the U.S., but as lockdowns start to lift and offices start to reopen, the data scientist job outlook is changing.Continue Reading

• What does NLP mean for augmented analytics?

  Explore how NLP is being used by augmented analytics platforms to improve employees' search capabilities, expand data visualization and build a data-driven culture.Continue Reading

• 9 big data use cases for businesses and industry examples

  As the understanding of big data requirements increases, so do big data use cases. Here are nine ways businesses are using big data to improve operations.Continue Reading

• Big data vs. machine learning: How they differ and relate

  Big data and machine learning are a powerful pairing for data analytics. Here's an explanation of the difference between them and how they can be used together.Continue Reading

• Data quality for big data: Why it's a must and how to improve it

  As data volumes increase exponentially, methods to improve and ensure big data quality are critical in making accurate, effective and trusted business decisions.Continue Reading

• Enterprise augmented data management benefits and growth

  Gartner predicts plenty of growth in the booming augmented data management market, which helps data professionals focus on insights over administrative tasks.Continue Reading

• Choose the right automated backup system for your needs

  Automated backup systems are easy to understand with just a few basic concepts. Here's what you need to know about this highly reliable and increasingly popular technology.Continue Reading

• Look for these critical features in a ROBO backup tool

  To effectively back up ROBO environments, admins should prioritize bandwidth optimization, centralized management and the ability to initiate restores remotely.Continue Reading

• Why consider an augmented data catalog?

  Automated and augmented data catalogs have been around for a few years, but adoption is still lagging. Find out why an enterprise may consider investing in the technology.Continue Reading

• 6 reasons you may need data science as a service

  There are plenty of reasons to outsource all or part of a data science project to a service. Find out how enterprises are using DSaaS in their analytics pipeline.Continue Reading

• The top 4 self-service BI benefits for enterprises

  Self-service BI adoption is trending because it democratizes data access and analytics. Explore the benefits these platforms offer enterprises.Continue Reading

• Why consider an open source data catalog

  Enterprise data catalogs offer organizations plenty of benefits with metadata management and data organization. Find out why some enterprises choose open source data catalogs.Continue Reading

• What are the common Microsoft 365 backup challenges?

  Microsoft 365 is a widely used service, but its many different applications make backup complicated. Watch out for these common roadblocks.Continue Reading

• Top open source database advantages for enterprises

  Open source databases typically offer lower upfront costs and more community support and, in recent years, have offered strong competition to commercial database offerings.Continue Reading

• Microsoft 365 retention policy vs. backup: Why you need both

  The Microsoft 365 retention policy offers some protection against data loss and the associated risks, but is it a replacement for a true data backup? Signs point to no.Continue Reading

• What analytics leaders need to know about graph technology

  Enterprise graph analytics adoption has been trending recently and is only expected to grow. Gartner analyst Mark Beyer explores what you need to know about graph technology.Continue Reading

• Collaborative analytics benefits enterprise data analysis

  Sometimes, having more eyes on a problem can help solve it a little bit faster. Experts talk about the enterprise benefits of implementing collaborative analytics.Continue Reading

• What do you know about graph data analytics?

  Graph database and analytics adoption has been trending in the last few years as their use cases continue to expand. Use this quiz to find out what you know about the technology.Continue Reading

• Bias in big data: How to find it and mitigate influence

  It's no secret that bias exists in large data sets, ; the key is addressing it. With transparency, diversity and accountability, limiting that bias can be possible.Continue Reading

• Top tips for a successful self-service BI strategy

  As self-service BI adoption continues across enterprises, it's important to make sure you have a good strategy. Here are the top tips for a successful self-service deployment.Continue Reading

• Compare file sync vs. backup for data protection

  The use of both file syncs and backups could be beneficial for enterprises, as each has its advantages. Pay particular attention to security and point-in-time recovery.Continue Reading

• The reality of Docker disaster recovery in practice

  A successful Docker DR strategy must account for a range of factors, including the host infrastructure, networks and redundancy in the cloud.Continue Reading

• The top 5 graph database advantages for enterprises

  Graph databases offer plenty of advantages to organizations in the way they connect data points to each other. Read on to see what experts say the top advantages are.Continue Reading

• Top 5 enterprise graph analytics use cases

  Gartner expects enterprise graph analytics adoption to grow in the coming years. Read on to find out why the technology is on the rise across organizational markets.Continue Reading

• Python code formatting: Tools you need and why it matters

  Computers don't care about the style of your code, so why should you? See what Al Sweigart has to say about code formatting, and get a sneak peek at his new book.Continue Reading

• Kubernetes backup demands new IT practices and tools

  IT admins need to evolve their backup strategies to accommodate for the highly dynamic nature of Kubernetes environments -- and the right tool can go a long way.Continue Reading

• The top backup and disaster recovery services of 2020

  Products of the Year judges were impressed with the innovation of backup and DR services winners. Container backup and compliance are among the key market needs.Continue Reading

• Do you need a data warehouse for business intelligence?

  Some organizations have moved away from using data warehouses in their business intelligence strategies. Read on to find out how approaches to data storage for BI are changing.Continue Reading

• HVAC/R distributor meets SLAs with Cohesity backup

  Master Group replaced its legacy infrastructure with Cisco HyperFlex protected by Cohesity backup. This led to faster backups and restores, and an excuse to throw out tape.Continue Reading

• Follow these standards for business continuity and resilience

  Business continuity, disaster recovery and resilience professionals have numerous IT standards they can reference for nearly every aspect of planning.Continue Reading

• Data catalog comparison to help you choose your best fit

  Data catalog options vary across vendors, but, as with most decisions in the data realm, it takes self-knowledge to make the right choice and understand each option's capabilities.Continue Reading