Remove Big Data Remove Cloud Remove Latency
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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

In this post, we break down ScyllaDB cloud vs. on-premise deployments, most popular cloud providers, SQL and NoSQL databases used with ScyllaDB, most time-consuming management tasks, and why you should use ScyllaDB vs. Cassandra. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB.

Big Data 187
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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. See the health of your big data resources at a glance.

Azure 227
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Understanding gRPC Concepts, Use Cases, and Best Practices

DZone

Because with the advent of cloud providers, we are less worried about managing data centers. This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests. Though we are not worried about computing resources, the latency becomes an overhead.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data lakehouses deliver the query response with minimal latency. While data lakehouses combine the flexibility and cost-efficiency of data lakes with the querying capabilities of data warehouses, it’s important to understand how these storage environments differ. Data warehouses.

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London Calling! An AWS Region is coming to the UK!

All Things Distributed

This region will provide even lower latency and strong data sovereignty to local users. More startups, small and medium businesses, large enterprises, universities, and government organizations all over the world are moving to the AWS Cloud faster than ever before.

AWS 167
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Helios: hyperscale indexing for the cloud & edge – part 1

The Morning Paper

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Cloud-native systems represent by far the largest, most distributed, computing systems in our history. PVLDB’20.

Cloud 104