Features

Features

• Backupify vs. Spanning: Data protection beyond SaaS backup

  Learn how comprehensive cloud-based data protection and recovery services from Backupify and Spanning Cloud Apps compare, as well as which unique features set them apart.  Continue Reading

• Why understanding data structures is so important to coders

  Jay Wengrow talks about how his new book on data structures and algorithms and considerations for making your choices as efficient as possible.  Continue Reading

• How IT handles edge storage challenges from COVID-19

  The COVID-19 'wake-up call' has stressed IT and storage teams, but those already using public clouds could adapt to new edge storage requirements posed by remote work.  Continue Reading

• Brain teasers and other fun tips for learning Python

  Learn about some interesting ways Python coders can grow their skills in the language and the importance of connecting and learning from others in the community.  Continue Reading

• Data literacy framework must-haves for enterprises

  As data becomes increasingly important to enterprises, employees beyond the data team need to be data literate. And data literacy programs need certain components to succeed.  Continue Reading

• Data a key driver in fight for social justice

  Analytics can be a critical tool in the social justice movement, but cultural and logistical hurdles can prevent nonprofits from using analytics to its full potential.  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

• How DataOps architecture benefits your analytics strategy

  A DataOps framework can provide access more efficiently throughout an organization to ease the analytics process and deliver insights faster.  Continue Reading

• Chief data and analytics officer roles: What you need to know

  Whether you have a chief analytics officer or chief data officer, there is a need for a unified leadership structure for data and analytics in the enterprise.  Continue Reading

• 6 Kubernetes backup tools to address container app protection

  Organizations that need to ensure they have a Kubernetes data protection strategy in place should examine how products from these six vendors could help address their needs.  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

• Data literacy skills key to cost savings, revenue growth

  As organizations develop data-driven cultures, they need to implement programs to teach employees how to work with and make decisions based on high-quality data.  Continue Reading

• Developing a data-driven culture begins with enablement

  In an interview, Jennifer Redmon, chief data and analytics evangelist at Cisco, talks about how she helps organizations enable their employees to work with data.  Continue Reading

• 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

• Enterprise analytics benefits of natural language processing

  As more analytics vendors adopt natural language tools, enterprises may want to think about the benefit the technology provides to their analytics abilities.  Continue Reading

• CCPA compliance still unclear long past deadline

  Despite the July 1 CCPA compliance deadline having long past, many executives are still unclear how the law applies to their business. Privacy experts weigh in on the latest enforcements.  Continue Reading

• Emotions analytics helps Hotels.com connect with customers

  While traveling has been halted for most of us, marketing efforts in hospitality still go on, and one way to sharpen those efforts is building an emotional connection -- with data.  Continue Reading

• Compare AWS CloudEndure vs. Azure Site Recovery services

  Learn how DRaaS heavyweights AWS CloudEndure and Microsoft Azure Site Recovery compare when it comes to architectures, features, integrations, pricing and other considerations.  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

• Key steps in the feature engineering process

  Feature engineering is key to machine learning algorithms. Read on to learn how those features are created and chosen to increase the accuracy of those models.  Continue Reading

• Talend evolves enterprise data integration efforts

  The CTO of Talend outlines the path the data integration vendor has taken in recent years as the market for big data has evolved along with the need to treat data as an asset.  Continue Reading

• Certificates important to the data science learning path

  While data science certificates have value in the professional world, candidates must make them a piece of a larger drive for technical mastery and continued education.  Continue Reading

• Analytics in construction has potential to save lives

  While minor injuries are on the decline in the construction industry, the rate of fatalities has remained flat, and BI could be a way to bring those numbers down.  Continue Reading

• Miscues in 2016 inform presidential polling data in 2020

  Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.  Continue Reading

• The evolving role of the chief data officer

  The job of the chief data officer is expanding to be more strategic as the need for organizations to connect and make sense of vast sums of data continues to grow.  Continue Reading

• Data mapping as a service, a modern form of data discovery

  The CEO of ActiveNav provides insight into how data mapping fits into the data management landscape as the vendor launches a new data mapping-as-a-service platform.  Continue Reading

• Data-driven storytelling opens analytics to all

  Data storytelling, because it interprets and explains data, extends business intelligence to business users and not just those trained in data analysis.  Continue Reading

• Reltio sets new course for master data management strategy

  The founder of data management firm Reltio provides insight into the evolving nature of master data management, as organizations look to get a more complete view of their data.  Continue Reading

• Investment in talent key for data quality in healthcare

  Investing in training employees on proper data gathering and management practices is crucial for healthcare organizations seeking to ensuring data quality and patient care.  Continue Reading

• What makes up a strong data science team structure?

  Enterprises rely on a strong data science team to get the most from their data. Read on to find out what talents you'll need to employ to support your organization's data.  Continue Reading

• Terms to aid your pandemic recovery planning process

  When updating your organization's pandemic plan, it can help to have these terms handy. These tools, processes and standards are key to a solid recovery plan.  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

• Comparing business intelligence vs. business analytics

  Business intelligence with descriptive analytics gives a better understanding of your current operations, while business analytics aims to inform future decisions.  Continue Reading

• Informatica CEO outlines digital transformation challenges

  Informatica chief Amit Walia gives insight into what organizations need most to enable digital transformation and why enterprise data management is at the foundation.  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

• Using data for public good in fight for racial equity

  While some data-driven methods recently have been publicly scrutinized for biases in practice, there are plenty of ways data can aid the fight for racial equity.  Continue Reading

• How Riot Games upped its enterprise data governance game

  Data governance product manager at Riot Games details how the game vendor dealt with data ownership challenges by embracing new processes and technologies for data management.  Continue Reading

• Baseball's Twins deploy Databricks to improve analytics power

  With the amount of data used to make player personnel decisions in baseball growing exponentially, the Minnesota Twins began using Databricks to improve their modeling capabilities.  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

• Why more employees need data literacy skills

  Encouraging employees to learn data literacy skills can benefit any enterprise. Read on for some of the benefits and resources to take advantage of in building those skills.  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

• Python exploratory data analysis and why it's important

  Exploratory data analysis is a key step to building the best models to gain insight from your data. Read on to see how Python can be a useful tool in this process.  Continue Reading

• Igneous Systems' new CEO talks about cloud and COVID-19

  Igneous CEO Dean Darwin said COVID-19 and increased cloud adoption have increased the demand for unstructured data management. He sees a chance for Igneous to fill that demand.  Continue Reading

• Alteryx ADAPT a program for laid-off workers, recent grads

  Alteryx is offering a free training program in data science to help people whose jobs have been affected by the COVID-19 pandemic, as well as new graduates entering the workforce.  Continue Reading

• 14 leading data backup software tools of 2020

  The enterprise backup software market consists of traditional vendors and newer technology companies that offer appliances and other cloud-native data protection products.  Continue Reading

• Ensuring predictive model accuracy in the age of COVID-19

  Data scientists are used to concept drift, but the constantly changing data due to COVID-19 can be hard to address. Experts discuss how to maintain model accuracy in the pandemic.  Continue Reading

• Top 5 feature engineering tips for better models

  From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering.  Continue Reading

• Prescriptive analytics in healthcare finds use amidst pandemic

  Prescriptive analytics can provide organizations with actionable plans based on their gathered data and assist during a pandemic as well as in a post-pandemic world.  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

• Implementing an analytics business plan requires commitment

  To get the most out of a data analytics business plan, companies must have clear goals and communication, as well as proper buy-in companywide.  Continue Reading

• Howard Dresner talks current trends in analytics

  In an interview on the state of business intelligence, longtime analyst Howard Dresner said cloud migration and AI features like natural language processing remain major trends.  Continue Reading

• Key points for a monitoring center pandemic action plan

  On-site monitoring centers come under stress when it's necessary for most workers to telecommute. Here are key points to include in a crisis plan to continue service availability.  Continue Reading

• Important resources in a data scientist education

  There are plenty of resources for data science learning for people entering the field all the way up to managers. Read on for key resources and an excerpt from a new book on data science skills.  Continue Reading

• State of the self-service analytics market

  Self-service analytics are important to strong enterprise analytics. Experts talk about how top vendors in the market are keeping up with user needs.  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

• Overcoming the top 3 analytics adoption challenges

  Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies.  Continue Reading

• More AI, ease of use will shape Sisense analytics platform

  After spending three years at Alteryx most recently, Ashley Kramer is now Sisense's new chief product officer. In an interview, she discusses her vision for the vendor's platform.  Continue Reading

• Surprising insight on the data governance process

  Many enterprise data governance processes have been around for a while. Read on for ways a modern approach can be beneficial, and preview a new book that can update your 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

• Ransomware resilience starts before cyberattacks hit

  Ransomware is still common, especially in the coronavirus age, so you need to be ready. Explore ransomware recovery tips from an IT manager who dealt firsthand with an attack.  Continue Reading

• What does Salesforce mean for Tableau AI features?

  Tableau and Salesforce both offer AI features for their analytics tools. Experts talk about how the AI offerings from each platform can complement each other.  Continue Reading

• Yellowbrick CEO outlines hybrid path to cloud data warehouse

  Neil Carson, co-founder and CEO of Yellowbrick, details the state of data warehouse market and outlines use cases for hybrid on-premises and cloud deployments.  Continue Reading

• SAS analytics platform used to fight opioid epidemic

  As the opioid epidemic rages on, SAS has developed tools to help the healthcare and law enforcement agencies involved in the fight against opioid addiction.  Continue Reading

• Data drives the decisions behind making movies

  From the moment a script is submitted to the time a movie is released, analytics drive just about every decision made during the making of a feature film.  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

• Benefits of embedded BI and customizable analytics

  Depending on your data needs, embedded analytics from a BI platform or a more custom-built analytics framework may work. Read on for the benefits of each option.  Continue Reading

• Data growth spawns enterprise data management system challenges

  Enterprises are creating and using more data and storing more of it in the cloud. If they use that data strategically, they can improve business outcomes.  Continue Reading

• Organization and automation ease data preparation process

  By laying down proper groundwork and investing in automated checks, companies can ease the data preparation process and ensure they are getting the most out of their data.  Continue Reading

• 2020 census data collection being affected by COVID-19

  The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door.  Continue Reading

• Student engagement data helps educators with remote learning

  Distance learning is necessary for most institutions during the COVID-19 pandemic. See how institutions are using analytics to measure their success in the shift.  Continue Reading

• 3 backup-as-a-service benefits for remote workers

  When employees are dispersed, data backups need to move off site, too. Here's why organizations should consider using backup as a service in these tumultuous times.  Continue Reading

• GDPR, CCPA, cloud drive security management tool makeovers

  As data protection and privacy laws like GDPR and CCPA take hold, data managers refine governance practices, while vendors enhance traditional big data security tools.  Continue Reading

• Improving enterprise data governance with data trust

  Talend users from Covanta and AutoZone provide insight into data management challenges amid growing data complexity at the Talend Connect virtual conference.  Continue Reading

• Analytics critical to decisions about how to return to work

  Data plays a critical role in the decisions organizations make as they bring employees back to work, for both increasing production and managing their physical space.  Continue Reading

• Data science interview preparation: How to answer top questions

  A successful interview for a data scientist position relies on the ability to effectively communicate and demonstrate your combined experiences and skills.  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

• Instaclustr CTO on open source database as a service

  Ben Bromhead, co-founder and CTO of Instaclustr, provides insight into the state of the open source database-as-a-service market as COVID-19 changes priorities and traffic flows.  Continue Reading

• Business continuity challenges emerge as work from home ends

  As governments consider reopening, organizations must address how it affects business continuity planning, such as accounting for WFH employees returning to offices and the potential for outages.  Continue Reading

• Sisense helps Soft Stuff pivot business during pandemic

  Soft Stuff, a wholesale distributor of gourmet foods, was able to change its business strategy amid the COVID-19 crisis, thanks to its use of Sisense's analytics platform.  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

• DRaaS guide: Benefits, challenges, providers and market trends

  Disaster recovery once involved setting up an off-site facility and duplicating expensive storage gear. Today, DRaaS offers an alternative to traditional approaches.  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

• Data scientist vs. machine learning engineer careers

  There are many careers under the data science umbrella, including data scientist and machine learning engineer. But what's the difference between the two? Read on to find out.  Continue Reading

• How to understand DRaaS pricing and budgeting

  Learn how to get the most value out of your disaster-recovery-as-a-service investment by conducting a thorough business impact analysis and following a few simple steps.  Continue Reading

• DRaaS market faces multiple challenges in 2020

  Difficult times are creating a strong DRaaS market, yet providers must still deal with many critical issues over the next several months, such as supporting growing customer base.  Continue Reading

• DRaaS vs. cloud DR: What are the differences?

  Disaster recovery as a service and cloud DR have the same end goal, but there are pros and cons to each approach that admins must consider before going with one over the other.  Continue Reading

• How to ensure your data lake security

  Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers.  Continue Reading

• How a logical data fabric can improve data management

  As data continues to grow across different sources, speakers at the Fast Data Strategy virtual summit outline how a logical data fabric approach can help.  Continue Reading

• 7 remote data backup terms for protection during a pandemic

  In this glossary, you'll find important background information on remote backup. It's crucial to think about everything from network connections to backup devices and sites.  Continue Reading

• Building a database application the DIY way

  Business users experience the trials, tribulations and exultations of building a DIY DBMS, especially when IT expertise is not readily available or costs are too high.  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

• How to choose self-service BI tools using analyst reports

  When deciding on what BI tools to use, many organizations turn to reports from analyst firms. Here's how to decipher the ratings to pick the right tools for your organization.  Continue Reading

• Data governance and COVID-19 data security challenges

  Maintaining data governance and data security best practices is essential now more than ever. But the increase in working from home can put a strain on those practices.  Continue Reading

• 10 DRaaS vendors to vet before devising a data recovery plan

  DRaaS enables organizations to leave the management of their DR plan to a third-party provider, saving time, money and resources. Learn what services these 10 DRaaS providers offer.  Continue Reading

• Cleveland Clinic's COVID-19 strategy driven by data modeling

  Cleveland Clinic is using data models developed in concert with analytics software vendor SAS to prepare for a potential surge in patients due to the COVID-19 pandemic.  Continue Reading

• 5 hot disaster recovery-as-a-service providers

  With more natural and man-made disasters, DRaaS providers are essential to helping organizations protect their mission-critical workloads while realizing potential cost savings.  Continue Reading

• How the GraphQL Foundation is enabling data graphs

  The GraphQL Foundation has grown over the course of its first year as database and application developers adopt the API layer approach to connecting different data sources.  Continue Reading

• The most important soft skills for data scientist jobs

  Soft skills are an important part of data scientist jobs. From business value to interpersonal communication, many nontechnical skills are important to data science projects.  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