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Azure Data Studio

Dataconomy

Azure Data Studio has rapidly gained popularity among developers and database administrators for its user-friendly design and powerful features. As a versatile tool, it simplifies the management of both SQL Server and Azure SQL databases, offering a modern alternative to traditional database management solutions.

Azure 91
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How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

professionals

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Faster distributed graph neural network training with GraphStorm v0.4

AWS Machine Learning Blog

Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances or Amazon SageMaker. Today, AWS AI released GraphStorm v0.4.

AWS 113
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Analyzing the history of Tableau innovation

Tableau

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Let’s take a look at each. .

Tableau 145
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Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML 101
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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

As an example, an IT team could easily take the knowledge of database deployment from on-premises and deploy the same solution in the cloud on an always-running virtual machine. If you go back to 2014, data warehouse platforms were built using legacy architectures that had drawbacks when it came to cost, scale, and flexibility.

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Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. exceptions.InsecureRequestWarning) def perform_search(query_text, model_id): """ Perform a search operation using the neural query on the OpenSearch cluster. Figure 3: What Is Semantic Search? disable_warnings(urllib3.exceptions.InsecureRequestWarning)