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Evaluating Data Lakes vs. Data Warehouses

Dataversity

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. The post Evaluating Data Lakes vs. Data Warehouses appeared first on DATAVERSITY.

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Understanding the Differences Between Data Lakes and Data Warehouses

Smart Data Collective

Data lakes and data warehouses are probably the two most widely used structures for storing data. Data Warehouses and Data Lakes in a Nutshell. The stored data is unprocessed, and the structure is usually applied when it is retrieved.

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Differences Between Data Lake and Data Warehouses

The Data Administration Newsletter

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.”

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The Evolution of Data Virtualization: From Data Integration to Data Management

Dataversity

Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today.

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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data is becoming more important to modern organizations than ever before. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well.

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Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms!

ElegantJ BI

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise.

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Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub.

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Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub.

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Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

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What’s the Best Data Warehouse Architecture for Reporting?

Astera

Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. 3NF and Data Vault.

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Managing Data Across Distributed Data Warehouses

Actian

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Actian cloud-based data management platforms can help.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Solutions for the various data management processes need to be carefully considered. What is data management?

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What is Data Warehouse-as-a-Service?

Actian

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. As one might imagine, data warehouses can be quite large and costly to build and maintain. Anatomy of Data Warehouse-as-a-Service.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. This era is changing data as we know it. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types. More case studies are added every day and give a clear hint – data analytics are all set to change, again! . The Benefits of Data Mesh.

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Consolidation Renews the Fight for Independence

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Database Blogs Database News, Articles, & Education cloud consolidation data integration data management tools data warehouse

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Must-Have Features of a Hybrid Cloud Data Warehouse

Actian

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. This should go without saying – your data warehouse stores a lot of valuable and sensitive information about your company, your products, your customers, and your operations. Your hybrid cloud data warehouse should support multi-cloud deployment.

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Dear Laura: Should We Hire Full-Time Data Stewards?

Dataversity

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The post Dear Laura: Should We Hire Full-Time Data Stewards? Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series!

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A Cost/Benefit Guide to the Data Warehouse

Actian

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. This concise data warehouse cost/benefit guide will help you understand what to expect, so you can make informed decisions about what solution is best for your company. Data Warehouse Cost. To maximize your potential value, continuous data maintenance is needed.

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6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Astera

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? What is a Cloud Data Warehouse? 6 Benefits of Cloud Data Warehousing.

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Is now the right time to modernize your data warehouse?

Actian

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. If you are using an on-premise data warehouse solution, your data center hardware and storage solutions require continual monitoring, maintenance, and upgrades. Modern data warehouse solutions are mainstream tech.

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7 Features You Should Look for in Your Cloud Data Warehouse Solution Providers

Astera

Data and analytics are indispensable for businesses to stay competitive in the market. Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. Moreover, you don’t have to worry about the maintenance of your data warehousing.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. A point of data entry in a given pipeline.

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An Introduction to Metadata Management

Dataversity

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses.

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Data Fabric: Convergent Solutions to Avoid Complex Tools Patchwork

Dataversity

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Click to learn more about author Michele Iurillo.

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Architecture for the Data Lake

The Data Administration Newsletter

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake.

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Inmon Architecture Versus Kimball Architecture – Revisited

The Data Administration Newsletter

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

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2019 Data Management Trends and How They Will Affect Integration

Actian

2019 is becoming an exciting year for the data management community. While trends are important building blocks about how companies approach their data management today, they are also providing insights into future capabilities to incorporate the individual pieces into a holistic, integrated solution. Data warehouse migration to the cloud. During the past few years, Hadoop has been the big trend in data warehousing. Data lake reboot.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? megabytes of data every second? Big Data Ecosystem.

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Why Good Data Management Is Essential to Data Analytics

Insight Software

Businesses today have access to a greater volume of data than ever before. Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. Data, Data, and More Data.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Data Management Challenges. Challenge#6: Ensuring data security.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Data Management Challenges. Challenge#6: Ensuring data security.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Data Management Challenges. Challenge#6: Ensuring data security.

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So Many Choices…. Oh My! Choosing the right Cloud Data Warehouse for my Modernization Project

Actian

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. But the benefits went beyond cost savings and performance gains, the new system augmented their capabilities with increased workload concurrency, improved failover protection and advanced workload management.

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Are Data Lakehouses Secure and the Best of Both Worlds?

The Data Administration Newsletter

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

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Will Data Management in Operational Technology Finally Be Standardized?

Actian

The proliferation of Operational Technology (OT) within companies is increasing, which has led many to ask whether this will lead to standardization of how operational technology generated data is managed? There is unlikely to be standardization of the data individual operational technology devices generate, but there will be new capabilities for interoperability, data aggregation and unified analysis. How companies are integrating operational technology data.