ESB vs iPaaS – Which Integration Tool is Right for your Company?
Understanding the key distinctions between ESB and iPaaS allows companies to effectively optimize integrations in the cloud.
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What is Data Integrity and Why Is It Important?
Data integrity is the accuracy, completeness, and reliability of data throughout its lifecycle.
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Data Conversion 101: Improving Database Accuracy
Data conversion is the process of translating one data format to another for the purpose of enabling a file, application, or database to execute properly.
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Single Source of Truth – What it is and Why You Want it Yesterday
Your data should help you promote collaboration, enhance business performance, and streamline decision-making. If it isn’t, you may need a SSOT.
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Cloud Integration Software – The Key to Modern Business Success
With the cloud providing significant business opportunities, enterprise organizations currently integrating with the cloud have an edge on their competition. That means if you don’t have a cloud integration plan in place, you may be doing more than missing out—you’re losing out.
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Get Trusted Data without Sacrificing Speed
In this data-driven world, the overall pace of business is sharply accelerating. To keep up with the speed of business, you need trusted data. But, how do you get data you can trust, and how do you get it quickly?
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Get Trusted Data without Sacrificing Speed
In this data-driven world, the overall pace of business is sharply accelerating. To keep up with the speed of business, you need trusted data. But, how do you get data you can trust, and how do you get it quickly?
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Multi-Cloud Integration: Extending The Value of Cloud Environments
Nearly 90% of today’s organizations have deployed multi-cloud environments, but many businesses have discovered challenges with integrating data sources. Find out the best practices for executing a multi-cloud integration.
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8 Ways to Reduce Data Integrity Risk
Not only does data integrity combine elements of data quality and security, it’s required for the consistent reuse of data and data-driven processes. Learn how to identify and reduce the threat of common data integrity risks.
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Data Extraction Tools: Improving Data Warehouse Performance
Data extraction tools significantly expedite the collection of relevant data. Learn about the tool and the benefits achieved by leveraging the right data extraction software.
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Cloud Storage — Why No Business Can Afford To Wait
Cloud data storage determines which analytics and processing tools you have access to, how secure your data is, and how quickly you can access information. Understand how cloud storage works and how to make the case for moving your data to the cloud.
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Why ELT Tools Are Disrupting the ETL Market
With 50% of business data residing in the cloud, more organizations are turning to ELT tools to address their processing needs. Learn how ELT tools are impacting the future of data integration.
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Data Governance Tools: The Best Tools to Organize, Access, Protect
Effective data governance tools are essential to ensure the integrity of your data, while navigating evolving compliance standards and security requirements. Find out the most successful strategies to organize, access, and protect your data.
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Continuous Integration – Defined and Decoded
Learn why continuous integration is critical DevOps practice and how the method reduces rework and minimizes code errors.
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Data Quality Tools – Why the Cloud is the Cure for Dirty Data
Learn how companies in many different industries can use data quality tools to improve current processes and accurately drive future decisions.
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Amazon Redshift – How AWS Takes on Traditional Data Warehouses
AWS Redshift goes beyond traditional data warehouses to help users make sense of massive amounts of data to gain comprehensive business insights. Learn more about Amazon Web Services and why so many companies are choosing Redshift to manage their data.
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Internet of Things – How the Cloud Solves IoT Data Challenges
The internet of things will include more than 30 billion devices by 2020. Learn how companies are securing, storing, and analyzing IoT data with cloud integration.
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Microsoft Azure – Data Integration with the Other Cloud Giant
Microsoft Azure is a comprehensive framework for cloud services divided into three main categories: PaaS, SaaS, and IaaS. In this article, we explore Azure in depth to better understand its capabilities and features.
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Getting Started with Your Talend Cloud Deployment
Welcome to the wonderful world of Talend Cloud! Learn how to set up your Talend Cloud deployment, so you can get up and running today.
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What is a Microservice?
A microservice is used to achieve a high degree of agility and scale for software development. Learn more about microservices and its best practices.
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Google BigQuery – What to Know Before You Integrate
Google BigQuery can help you quickly analyze massive amounts of data. Learn more about BigQuery, it's capabilities, and how to get started.
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From Data Lake to Data Swamp – How the Legacy Trap Stifles Innovation
The legacy trap is a situation in which companies apply outdated processes and procedures to new data management tools. When it comes to data lakes, the legacy trap can stifle free-flowing data and create a data swamp.
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12 Commandments of Hybrid Cloud Integration
Hybrid architectures are becoming more common. Gartner estimates that by the year 2020, 90% of all organizations will have adopted a hybrid solution. In this article, we take a look at the 12 commandments of hybrid cloud: 8 of the most important hybrid cloud benefits and 4 things to consider as you plan your move to the hybrid cloud.
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Hybrid Cloud – Bringing Balance to Data Management
Hybrid cloud integration dramatically expands your data management toolbox by balancing the familiar functionality of legacy systems with the power and adaptability of the cloud. Hybrid solutions have become so critical to businesses that Gartner estimates that 90% of all organizations will be using a hybrid cloud infrastructure by the year 2020.
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Containerization – Are You Ready?
In a world where data is doubling, and user expectations for data (how they want it, when they want it, where they want it) are compounding, speed and agility are keys to data integration success. For that reason, many enterprises are jumping on the container bandwagon. According to a Forrester report, 66% of enterprises experienced accelerated developer efficiency when they adopted containers, and 75% of companies experienced a moderate to significant increase in application deployment speed with containers. Find out what makes containers so valuable in today’s data-driven world.
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