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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

An edge computing architecture can begin to help solve these problems. Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks. IT Leadership.

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Leaning into Retail’s Challenges with Digital Transformation

CIO

Are they successfully untangling their “spaghetti architectures”? They’ve embraced the on-demand mentality of being able to research products online, order from their couches and, if necessary, do in-store pickups without having to stand in line. It’s about making the data architecture data centric.

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What is data governance? Best practices for managing data assets

CIO

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

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Fundamentals of Data Engineering

Xebia

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

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Use Cases and Successes for Perficient’s Healthy Lakehouse Solution

Perficient

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

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Most Popular Big Data and Data Science Development Services

KitelyTech

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. User data collection is data about a user who is collected for market research purposes. Therefore, the software must have an easily extendable architecture.