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Berlin’s Tilo raises seed round to tackle unstructured data sets with a serverless platform

TechCrunch

This is a problem particularly faced by financial firms, but it could also be useful in the areas of COVID contact tracing or general business intelligence. As its business model, Tilo charges a license fee based on the volume of data companies are processing through TiloRes. But it remains a big problem to solve.

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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

A data lake is a centralized repository for structured and unstructured data, while a data warehouse is a system for business intelligence activities — particularly analytics.) AWS Glue Serverless and AWS Redshift Serverless integration is available in preview as of today. Image Credits: Ascend.io.

Data 230
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Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111
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How Pick n Pay’s migration to the cloud is paying off

CIO

The company’s recent trading update confirmed it would accelerate growth opportunities, such as its online offerings, and develop serverless computing with AWS so the retailer is able to rapidly scale when needed, like over Christmas or Black Friday.

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The DevOps Trends Forecast for 2020

RapidValue

Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value. The Rise of Serverless. Having mentioned about cloud-native DevOps, another trend that deserves all the hype is the implementation of serverless architecture in DevOps.

DevOps 69
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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.

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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

Thomas Kurian, CEO of Google Cloud, introduced Traffic Director, the new global traffic management service for VMs and containers as well as Cloud Run, which allows you to run any container in a serverless environment. A quick demo displayed a drag-and-drop UI for quickly migrating your data to the cloud.