Werner Vogels Keynote recap – AWS re:Invent 2022
Learn about some of the biggest announcements, AWS service launches and highlights from Amazon CTO, Werner Vogels’s keynote at AWS re:Invent 2022.
Cloud Data Management
Machine Learning Operations on AWS
Learn how Machine learning operations (MLOps) – deployment steps and disciplines that help you deploy ML models reliably, and efficiently – maximize accuracy, repeatability and the productivity of your ML resources.
How To Pick the Best SageMaker Model Hosting Option
Amazon SageMaker Inference Endpoints are a powerful tool to deploy your machine learning models in the cloud and make predictions on new data at scale. However, it can be challenging to understand which deployment options to pick. This article aims to provide an overview of the various options and help you decide which endpoint deployment …
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What Is Cloud Data Management? Strategies, Tools & Processes Explained
Data is one of the most valuable business assets in today’s digital world, and data management is a crucial part of any business strategy. With data mining and analytics, businesses can leverage their data to compete and thrive. Cloud data management is the process of ingesting, structuring, transforming, tagging, and securing large volumes of data …
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re:Invent 2021 Recap – Global Partner Summit Keynote
At re:Invent 2021, the Global Partner Summit Keynote was all about AWS Partners and the key role they play in enabling companies across the globe transform their businesses by leveraging the cloud. In 2021, AWS and AWS partners worked on hundreds of thousands of opportunities, doubling the figures year over year. Doug Yeum, Head of …
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Designing Data Governance Framework Using Best Practices that Deliver Value
Recent research from Mordor Intelligence projects that the data governance market will be worth 5.28 billion USD by the year 2026. Data governance is essential for enterprises that want to secure trust and stay accountable for all their information-driving assets. Enterprises that securely collect and standardize their data to derive valuable insights needed for the …
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The Case for Enterprise Data Modernization
As enterprise businesses grapple with mounting technical debt, vendor lock-in and siloed data, it’s clear that data modernization efforts must begin in order to keep pace with disruptive cloud native startups. This is particularly apparent in traditional industries like financial services, healthcare, life sciences and retail. These businesses often grow through acquisition and in many …
Becoming a Data Driven Organization: Hidden Potential & Challenges
Data is a business gold mine for organizations, yet many companies struggle to unlock its complete potential. Through data, organizations can gain a better understanding of their customers. Acting on the data to make informed business decisions is not necessarily a straightforward process. A data driven organization can glean deep insights from data to update …
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Amazon RDS Proxy: Taming DB Connections
Most developers find databases difficult to scale. There are a lot of frameworks that can run on multiple pods—or even multiple clusters—to handle more load. Some frameworks even support advanced load balancing and caching. Still, when a spike beyond what the framework can handle happens, the database is almost always the first process to fail. …
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What Are the Best Practices of Database Design?
When designed correctly, databases are incredibly powerful tools for recording, storing, retrieving, and comparing data. However, a database designed without care and purpose isn’t just ineffective, it can be a real hindrance to those who use it most. When building a database—regardless of its ultimate purpose—adhering to the following best practices will ensure that the …
Databases in Containers
Database containerization has emerged with various critiques here and there. Data insecurity, specific resource requirements, network problems are oft quoted as the significant drawbacks of the practice. Nevertheless, container usage has been on the increase, and so too has the method of containerizing databases. Container usage is now being applied by organizations of all sizes …
