The Crazy Programmer

SEPTEMBER 11, 2021

The MongoDB development happened when the organization was putting all force into developing a Microsoft Azure-type PaaS in 2007. MongoDB and is the open-source server product, which is used for document-oriented storage. is their latest version that was supported by MS Azure CosmosDB since August 2020. MongoDB History.

Open Source 273

Open Source Storage Azure Scalability 273

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 CDW is an analytic offering for Cloudera Data Platform (CDP). You can easily set up CDP on Azure using scripts here.

Azure 120

Azure Data Comparison Virtualization 120

Mobilunity

APRIL 29, 2024

If you also consider releasing an app for banking and finance, you’ll need to find ASP,NET Core, and MS Azure engineers. As for technologies, many companies and startups prefer NET Core, ASP, and Microsoft Azure in banking and financial services. Let’s explore the advantages of.NET and Azure technologies.

.Net 52

.Net Azure Banking Fintech 52

Datavail

SEPTEMBER 28, 2021

One solution to consider is using Microsoft Azure Cosmos DB in tandem with its open-source MongoDB API. What is Azure Cosmos DB. Azure Cosmos DB is a fully managed NoSQL platform set up on Microsoft’s Azure cloud. Integration with Azure Synapse Link for Azure Cosmos DB, enabling no-ETL analytics.

Azure 97

Azure Cloud Open Source Serverless 97

Cloud That

NOVEMBER 28, 2022

Azure is a platform for open-source cloud computing. It offers numerous cloud services, such as computation, analytics, storage, and networking. Step 1: Sign into the Azure portal, In the VM Blade Copy the Public IP and RDP to the VM. Conclusion. About CloudThat. Introduction. Keep all the settings to default. Conclusion.

Virtualization 72

Virtualization Azure Disaster Recovery Linux 72

Altexsoft

MAY 20, 2020

Source: IoT Analytics. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Source: IoT Analytics. Microsoft Azure IoT. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js choices on Render such as Bun.js

Serverless 180

Serverless AWS Google Cloud Azure 180

Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study 97

Case Study Analytics Study Architecture 97

The Citus Data

MARCH 12, 2022

So, in this post I’ll share the tools I built to make it easy to run benchmarks against Postgres—specifically against the Citus extension to Postgres running in a managed database service on Azure called Hyperscale (Citus) in Azure Database for PostgreSQL. million NOPM with larger Citus database clusters on Azure.

Azure 100

Azure Performance How To Off-The-Shelf 100

The Crazy Programmer

MARCH 31, 2022

Distributed tracing is a method used to trace messages flowing through your business applications built using various Azure services, where they are well-suited for tracking and identifying any unexpected performance failures. Why Distributed Tracing for Azure and Hybrid Applications?

Azure 182

Azure Telecommunications Applications Performance 182

Datavail

JUNE 22, 2021

But that’s not the only reason IT organizations are flocking to Azure. Here are the seven main reasons companies choose this versatile platform: High Availability : Microsoft has a significant global footprint which means Azure can provide a Service Level Agreement (SLA) of 99.95% for its customers.

Azure 40

Azure Artificial Inteligence Cloud Company 40

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Perficient

MARCH 15, 2024

These days, most businesses use cloud storage to store data that is recoverable, quickly available, and safe. Importance of Cloud Storage : Anyone has the ability to save digital data and access it from anywhere, thanks to cloud services for the same. Security is the most crucial component of data storage.

AWS 52

AWS Storage Policies Cloud 52

Cloud That

NOVEMBER 23, 2022

An Azure account with an active? Azure Subscription? or Azure Pass. Getting Started with Azure Virtual Machines. Creating HTML Website using Azure App Service. Storing data with Blob Storage & Cosmos DB. Management of APIs through Azure Portal. Getting Started with Azure Virtual Machines.

Case Study 71

Case Study Azure Study How To 71

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns. So what’s all the fuss about?

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Mobilunity

JULY 14, 2021

However, the carbon footprint of cloud workloads can be and should be reduced, and this can be achieved following the same best practices and using the same monitoring and data analytics tools as for other cloud-optimizing types. Understand the context. Measure performance. What Resources Are Needed for Cloud Migration and Optimization?

Resources 52

Resources Storage Cloud DevOps 52

Prisma Clud

FEBRUARY 20, 2024

Competitive pressures have created a sense of urgency to accelerate data innovation, which leads to a business environment that’s supportive of new data initiatives — and these come with additional storage, analytics and reporting requirements. Since agent-based solutions aren’t fit for purpose, they’ll need an agentless solution.

Cloud 91

Cloud Software Review Technical Review Policies 91

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). However, from an analytics perspective there was no integration between the data warehouse platform and the data lake.

Cloud 98

Cloud Data Azure Analytics 98

Datavail

DECEMBER 2, 2021

It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units. One of the main reasons we like to recommend Snowflake to our customers is that it can run on AWS, Azure, or Google Cloud.

Data 98

Data Analytics Azure Storage 98

Tenable

MARCH 21, 2024

Additional research revealed that numerous shared-parent service domains in AWS, Azure and GCP were misconfigured, putting cloud customers at considerable risk. For example, in AWS, Amazon Simple Storage Service (S3), Amazon API Gateway and other services share the “amazonaws.com” domain.

AWS 127

AWS Azure Authentication Software Review 127

ParkMyCloud

JULY 30, 2019

Have you been hearing a lot about Azure Databricks lately? These are in fact Databricks being used to undertake data analytics workloads. Apache Spark is described as a unified analytics engine for large-scale data processing. for the Premium product on the Data Analytics tier. Databricks + Microsoft = Azure Databricks.

Azure 40

Azure AWS Analytics Machine Learning 40

Kentik

MAY 14, 2019

Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility. Analytics features should be contextualized and enable you to answer both technical and business questions for various stakeholders. Kentik for Multi-Cloud Visibility: Now with Support for GCP, AWS and Microsoft Azure Flows.

Cloud 103

Cloud Azure How To AWS 103

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Quantifiable performance improvements of Apache Hbase 2.2.x Elastic Compute.

Storage 95

Storage Azure Technical Review Database Administration 95

CIO

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Some of the more popular viral blogs and LinkedIn posts describe it as the following: Ben Patterson/IDG. As I stated in the start of the blog, this need has generated a market opportunity for a universal data distribution service.

System 153

System Enterprise Data Cloud 153

Cloudera

DECEMBER 21, 2021

This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements. Early in the year we expanded our Public Cloud offering to Azure providing customers the flexibility to deploy on both AWS and Azure alleviating vendor lock-in. Securing and scaling storage.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x

Performance 96

Performance Cloud Data Storage 96

Altexsoft

JUNE 1, 2020

You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP. A data lake is a central repository used to store both structured and unstructured data for use in analytics, big data processing, and machine learning. Azure Data Lake.

Data 69

Data Cloud Azure Storage 69

The Citus Data

MARCH 5, 2021

Citus 10 extends Postgres (12 and 13) with many new superpowers: Columnar storage for Postgres : Compress your PostgreSQL and Citus tables to reduce storage cost and speed up your analytical queries. Citus is no longer just about sharding your Postgres database: you can now use Citus columnar storage to compress large data sets.

Open Source 143

Open Source Storage Azure Applications 143

The Citus Data

DECEMBER 11, 2021

This post is a deep dive into how the UK Coronavirus analytics dashboard came to be, and why it’s architected the way it’s architected. Over the next year, Pouria’s team expanded the analytics dashboard, adding in more metrics and more interactive features.

Azure 88

Azure Open Source Software Review Analytics 88

The Citus Data

AUGUST 4, 2023

The topic of this month's PGSQL Phriday #011 community blogging event is partitioning vs. sharding in PostgreSQL. One of my favorite blog posts about Postgres partitioning Prior to this PGSQL Phriday blogging event on partitioning vs. sharding, one of my favorite Postgres partitioning blog posts was this one by Brandur.

Weak Development Team 75

Weak Development Team Open Source Performance Applications 75

OTS Solutions

FEBRUARY 16, 2023

Then read this blog completely. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. Suppose a user makes a storage request, database access request, or computing request. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

The Citus Data

MARCH 6, 2021

Check out the Citus 10 blog post for all the details. Postgres typically stores data using the heap access method, which is row-based storage. Row-based tables are good for transactional workloads, but can cause excessive IO for some analytic queries. Columnar storage is a new way to store data in a Postgres table.

Storage 145

Storage Groups Video Analytics 145

Sunflower Lab

SEPTEMBER 11, 2023

Data Lake is a digital storage repository that is programed and designed to hold and even distribute any types of data that the user wishes for. The schema factor makes most of the leading organizations choose data lake as they can use it for big data analysis for insightful information and advanced analytics.

Industry 52

Industry Data Retail Architecture 52

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 The fourth industrial revolution or Industry 4.0 The concept of Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Ivanti

JUNE 17, 2021

In my introduction to this blog series , I talked about why Unified Endpoint Management (UEM) is more relevant than ever before. While reading this blog put your own experiences into perspective with how you and your company were forced to work during COVID-19. These analytics also can provide proactive alerting to your inbox.

Artificial Inteligence 70

Artificial Inteligence Artificial Intelligence Analytics Network 70