Five Things to Consider When Choosing a Data Catalog

February 20, 2019

The self-service data analytic journey often begins with choosing a data catalog. Before businesses can make the most of their corporate data, analysts need the ability to find and use trusted data, share insights about that data, crowdsource quality attributes and have recommendations presented that relate to data sources that have been discovered.Organizations face growing challenges. The volume of data is exploding and coming from various sources structured, unstructured data, IoT, the cloud, etc. thus, driving the growth of the business analytics market. But not all data catalog solutions are the same. The four distinct data catalog types include:Data Lake Catalog works well if all your data is in a single data lake.Data Warehouse Catalog is more ideal for legacy data warehouses and data management.Cloud Catalog for vendors who offer cloud compute and storage, predisposes you have all your data in their cloud.Enterprise Data Catalog does not discriminate where your data is, what structure it is in or any other restriction, but establishes a virtual data layer to bring all your catalog data into one centralized place.

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We partner with customers in their journey from vision to adoption, and across the plethora of technology options available today. Smartbridges comprehensive list of technology and software partnerships gives us the freedom to remain an objective collaborator with our customers. The suite of Smartbridge services includes Digital Innovation, Systems Modernization, Applications Integration, Data Management, Business Intelligence & Analytics, Enterprise Mobility and Blockchain.

OTHER WHITEPAPERS
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whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

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Data & AI Survey Report 2021/2022

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This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Draft Recommendations for The Development of the Net-Zero Data Public Utility

whitePaper | September 22, 2022

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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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Spotlight

Smartbridge

We partner with customers in their journey from vision to adoption, and across the plethora of technology options available today. Smartbridges comprehensive list of technology and software partnerships gives us the freedom to remain an objective collaborator with our customers. The suite of Smartbridge services includes Digital Innovation, Systems Modernization, Applications Integration, Data Management, Business Intelligence & Analytics, Enterprise Mobility and Blockchain.

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