Remove Cloud Computing Remove Data Lakes Remove Machine Learning
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Setting up Data Lake on GCP using Cloud Storage and BigQuery

Analytics Vidhya

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

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Data Engineering for IoT Applications: Unleashing the Power of the Internet of Things

Data Science Connect

Cloud-Based IoT Platforms Cloud-based IoT platforms offer scalable storage and computing resources for handling the massive influx of IoT data. These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently.

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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). Data storage databases. Well, let’s find out. Artificial intelligence (AI).

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Quelle: [link] Small Data wurde zum Fokus für die deutsche Industrie, denn “Big Data is messy!” Alle zuvor genannten Hypes sind selbst Erben des Hypes um Big Data.

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Why companies need to accelerate data warehousing solution modernization

IBM Journey to AI blog

By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement. Data warehouse is the base architecture for artificial intelligence and machine learning (AI/ML) solutions as well.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Pay-as-you-go pricing makes it easy to scale when needed.

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AWS re:Invent Recap: The Future of Cloud

Alation

Compliance in the Cloud ( GDPR, CCPA ) is still in in its infancy and tough to navigate, with people wondering: How do you manage policies in the cloud? How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation.

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