Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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Spotlight

Business data is growing across multiple facets of the modern enterprise, and new types of information generated by new sources are increasingly critical to operations. Backup reliability has decreased in recent years even as Digital Transformation activities accelerate. Read this new Frost & Sullivan executive brief and learn a

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Data Warehouse or Data Lake, Which Do I Choose?

Today’s data-driven companies have a choice to make – where do we store our data? As the move to the cloud continues to be a driving factor, the choice becomes either the data warehouse (Snowflake et al) or the data lake (AWS S3 et al). There are pro’s and con’s for each approach. While the data warehouse will give you strong data management with analytics, they don’t do well with semi-structured and unstructured data with tightly coupled storage and compute, not to mention expensive vendor lock-in. On the other hand, data lakes allow you to store all kinds of data and are extremely affordable, but they’re only meant for storage and by themselves provide no direct value to an organization.
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Addressing Big Data Challenge Hadoop way

Xoriant Corporation

Are you unsure of how to leverage Big Data and select among the many technologies surrounding it? Don't worry - you aren't alone. Here and watch this video to know how you can address the Big Data challenges using Hadoop.
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Fanatics Ingests Streaming Data to a Data Lake on AWS

awscloud.com

Fanatics, a popular sports apparel website and fan gear merchandiser, needed to ingest terabytes of data from multiple historical and streaming sources transactional, e-commerce, and back-office systems to a data lake on Amazon S3. Once ingested, the data would be analyzed to better identify, predict, and fulfill customer needs related to the products Fanatics offers in over 300 online and offline stores.
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Data Governance 2.0

What if you knew how to establish a strong data governance in your organization? Watch our webinar recording, and find out how CDQ's framework can support you!
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Spotlight

Business data is growing across multiple facets of the modern enterprise, and new types of information generated by new sources are increasingly critical to operations. Backup reliability has decreased in recent years even as Digital Transformation activities accelerate. Read this new Frost & Sullivan executive brief and learn a

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