Azure, Big Data and Cloud - Technology Performance Pulse

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

MAY 13, 2020

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data

Big Data Database Artificial Intelligence Open Source

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

Dynatrace

JULY 6, 2020

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. Azure Batch. Azure DB for MariaDB. Azure HDInsight.

Azure

Azure Cloud Big Data Virtualization

Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure

Infrastructure Cloud Azure AWS

Kubernetes in the wild report 2023

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source

Open Source Java Operating System Programming

What is container orchestration?

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure

Infrastructure Open Source Operating System Cloud

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

Dynatrace

OCTOBER 4, 2022

Agent and open technologies make it easy to ingest large volumes of observability, security, and business data. Data management. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data warehouses. Query language.

Artificial Intelligence

Artificial Intelligence Storage Analytics Government

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage

Storage Systems Big Data Azure

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT

IoT Big Data Analytics Architecture

Microsoft Engineering loves SQLBits

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering

Engineering Azure Best Practices Servers

Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Autoscaling tiered cloud storage in Anna.

Blockchain

Blockchain Hardware Google Speed

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics

Logistics Analytics Scalability Cloud

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics

Logistics Analytics Scalability Cloud

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics

Analytics IoT Lambda Big Data

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

Scalegrid

NOVEMBER 25, 2019

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

Big Data Database Open Source Azure

Technology Performance Pulse

What is Greenplum Database? Intro to the Big Data Database

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

Trending Sources

Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Kubernetes in the wild report 2023

What is container orchestration?

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

Mastering Hybrid Cloud Strategy

What is a Distributed Storage System

The Need for Real-Time Device Tracking

Microsoft Engineering loves SQLBits

Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Aggregate Analytics

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

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