Expert Advice: Page

Practical guidance from industry experts on Data


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    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.

    Paul Kirvan • Aug. 19, 2024
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    Brand Experience Team/TechTarget
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    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.

    Jacob Roundy • Aug. 14, 2024
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    Use RAG with LLMs to democratize data analytics

    Pairing retrieval-augmented generation with an LLM helps improve prompts and outputs, democratizing data access and making previously elusive information available to more users.

    Bill Schmarzo • Aug. 13, 2024
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    Brand Experience Team/TechTarget
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    10 top vector database options for similarity searches

    Vector databases excel in different areas of vector searches, including sophisticated text and visual options. Choose the platform that best fits organizational needs.

    Donald Farmer • Aug. 8, 2024
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    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.

    Robert Sheldon • Aug. 6, 2024
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    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.

    Donald Farmer • Aug. 5, 2024
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    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.

    Paul Kirvan • July 29, 2024
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    Brand Experience Team/TechTarget
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    How to use a data governance maturity model

    A data governance maturity model identifies where current operations are lacking and how to make improvements that better protect and use data.

    Jeff McCormick • July 25, 2024
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    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.

    Chris Foot • July 24, 2024
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    How to craft a cost-effective backup strategy

    A cost-effective data backup plan requires IT teams to examine their data protection requirements and choose the right strategy that fits into what the business can spend.

    Stuart Burns • July 23, 2024
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    8 reasons businesses have no DR plan (and why they’re wrong)

    In today's interconnected world, disaster recovery planning is not a luxury but a necessity for safeguarding the future of any business. Don't make the mistake of being unprepared.

    Stuart Burns • July 23, 2024
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    6 slow backup causes to watch out for

    Backup performance is affected by several factors. Ensure that backups are running in a timely manner to protect data and prevent bottlenecks.

    Stuart Burns • July 19, 2024
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    Understand the BI lifecycle to build an effective architecture

    Following and understanding the five steps of the business intelligence lifecycle is the foundation of a successful and effective BI architecture.

    Jeff McCormick • July 17, 2024
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    Windows Server backup to the cloud: A step-by-step guide

    Backups are critical when using Windows Server. While third-party cloud vendors offer protection, Windows Server admins can back up to Azure using only native Microsoft tools.

    Brien Posey • July 12, 2024
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    7 data modeling techniques and concepts for business

    Three types of data models and various data modeling techniques are available to data management teams to help convert data into valuable business information.

    Rick Sherman • July 12, 2024
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    13 reasons your disaster recovery plan failed

    Preventing failure is an important goal for DR teams, but disasters do not conform to how plans are designed. Familiarity with the causes of failure can help bolster a DR plan.

    Paul Kirvan • July 11, 2024
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    How GenAI-created synthetic data improves augmentation

    Synthetic data can enhance the performance and capabilities of data augmentation techniques. Navigate the challenges generative AI models present to reap the benefits.

    Mary Pratt • July 11, 2024
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    6 benefits that make a disaster recovery plan worth it

    Disaster recovery plans help reduce recovery time, ultimately saving time and money. Time spent testing and planning upfront pays dividends when a disaster strikes.

    Stuart Burns • July 11, 2024
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    How to create Group Policy backups in Windows Server

    Group Policy Objects represent a significant time investment and an important configuration management tool. Follow these simple steps to protect them.

    Damon Garn • July 1, 2024
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    How to back up a Windows DHCP server

    The Windows DHCP server creates an automatic local backup of its configuration regularly, but Windows Server admins can configure a stronger backup with this tutorial.

    Damon Garn • June 28, 2024
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    How generative AI can make data visualizations accessible

    Data teams can use generative AI to make data visualization creation approachable for business users of all technical skill levels -- if organizations can manage the challenges.

    George Lawton • June 26, 2024
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    The 4 phases of emergency management

    To effectively recover from a disruptive incident, IT and DR teams must have a plan in place. This guide breaks down the four phases of an emergency management plan.

    Paul Kirvan • June 26, 2024
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    Evaluating data quality requires clear and measurable KPIs

    KPIs and metrics are necessary to measure the quality of data. Organizations can use the dimensions of data quality to establish metrics and KPIs for their specific needs.

    Mary Pratt • June 25, 2024
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    6 key features of embedded analytics software

    Data-driven organizations need employees of all technical skill levels to be able to access and use data. Embedded analytics software has six features that make data more usable.

    Maria Korolov • June 24, 2024
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    Multi-cloud databases: How to deploy and manage them

    Deploying databases on different cloud platforms offers various benefits. Here's a set of 10 best practices for building a multi-cloud database architecture.

    Jeff McCormick • June 12, 2024