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

CIO

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. Why does every organization need it when using a modern data stack?

System 221

System Enterprise Data Cloud 221

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Data Processing and Analytics: Data lakes are not just about storage; they empower advanced analytics.

Data 52

Data Storage Construction Business Intelligence 52

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. And yes, Citus Con is virtual again this year!

Azure 85

Azure Open Source Virtualization Software Engineering 85

Cloudera

OCTOBER 13, 2020

Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services. 2) Technical Preview on AWS and Azure. (3) 3) Data Visualization is in Tech Preview on AWS and Azure. And We Are Not Done.

Cloud 98

Cloud Machine Learning Artificial Inteligence Azure 98

OTS Solutions

JUNE 9, 2023

In this blog, we discuss the top-rated enterprise application development frameworks that make your process of developing an enterprise application easy. It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. billion by 2030.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

In this blog, we discuss the top-rated enterprise application development frameworks that make your process of developing an enterprise application easy. It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. billion by 2030.

Enterprise 130

Enterprise Applications Development Scalability 130

Datavail

DECEMBER 2, 2021

One of the main reasons we like to recommend Snowflake to our customers is that it can run on AWS, Azure, or Google Cloud. Snowflake manages concurrency issues with a multicluster architecture – you can set up separate virtual warehouses that are individually scalable. You Pick the Platform. Read more about the case study here.

Data 98

Data Analytics Azure Storage 98

Xebia

AUGUST 15, 2023

These contracts establish a foundation for building robust and scalable data solutions. dbt for the rescue For the past years, dbt is becoming a must-have for data transformation in the Modern Data Stack (and also one of my favorite tools), being a leader in the Analytics Engineer domain. We are all set!

Data 130

Data Software Review Testing Cloud 130

Capgemini

JANUARY 13, 2022

CGS Managed Services has worked with this agency to implement an asset data aggregation and analytics system to track the condition assessments and health score of various transmission assets for maintenance optimization, investment planning and asset failure prevention using the MuleSoft Anypoint platform. Government Solutions Homepage.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52

Perficient

MARCH 15, 2024

Users won’t be able to obtain continuous data updates if data is updated on premises, so to obtain continuous updates of data, we use cloud storage, which is why Snowflake integrates a way to load data from cloud storage (AWS, GCP, or Azure). In this blog, we’ll explore configuring the Snowflake AWS S3 integration. Snowflake 2.AWS

AWS 52

AWS Storage Policies Cloud 52

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 97

Performance Cloud Data Storage 97

Cloudera

JUNE 7, 2022

We can also do it with your preferred cloud – AWS, Azure or GCP. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions.

Data 113

Data Architecture Analytics Government 113

Cloudera

JUNE 2, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. Why does every organization need it when using a modern data stack?

System 105

System Enterprise Data Cloud 105

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Sample of a high-level data architecture blueprint for Azure BI programs.

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

MAY 13, 2024

Introduction Azure DevOps is a complete collection of tools and services that assist in the development, testing, and deployment of software applications. In this beginner’s guide, we’ll take a look at how to set up Azure DevOps, create projects, familiarize yourself with the interface, and understand the various sections.

Azure 52

Azure DevOps Testing Software Development 52

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: . Savings opportunity on Azure. Cloud-Native Design Patterns.

Storage 96

Storage Azure Technical Review Database Administration 96

Openxcell

NOVEMBER 27, 2023

With the information provided in this blog, you’ll be able to understand what’s at stake with cloud migration planning, types of cloud migration strategy, tools and best practices to follow to speed up your transition to cloud migration. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

CIO

SEPTEMBER 21, 2023

It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. Microsoft quickly pledged to support it on its Azure platform. “We’ve never had a technology touch everyone so rapidly.” So did Amazon on AWS.

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy 52

Strategy Data AWS Storage 52

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy 52

Strategy Data AWS Storage 52

The Citus Data

MARCH 3, 2020

Interview with the Postgres committers who have joined the Postgres team at Microsoft by Sudhakar Sannakkayala (Partner Director, Azure Data) and Ozgun Erdogan (Principal, Azure Data)— cross-posted from the Azure Postgres blog. His focus areas are scalability, efficiency, and replication.

Azure 21

Azure Open Source Systems Review Software Review 21

Hypergrid

OCTOBER 26, 2018

In an earlier HyperGrid blog, we wrote about how a “cloud-twofer ” can play a critical role in helping enterprises with cloud migration, adoption and operating at scale with public clouds like AWS and Azure. In the meantime, we invite you try out HyperCloud Analytics with a 30-day no-strings-attached trial on AWS Marketplace.

Cloud 60

Cloud Azure AWS Comparison 60

CTOvision

OCTOBER 27, 2014

Microsoft Announces Azure Cloud Updates and Partnerships Aimed at Handling … Enterprise analytics and data management provider Cloudera is aiming to have its Hadoop-powered software Azure-certified by the end of the year. Cloudera CTO on Big Data analytics and security risks. Upcoming Industry Events.

Technical Review 103

Technical Review Technology Big Data Firewall 103

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions.

Cloud 40

Cloud Azure Big Data Storage 40

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Microsoft Azure. It is not so easy to hire a cloud engineer locally. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. Scalability. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Datavail

JANUARY 4, 2022

Snowflake’s cloud data platform has a variety of advantages—including a straightforward, on-demand pricing model, excellent scalability and performance, and the ability to build either a data warehouse or data lake according to your business requirements.

Data 52

Data AWS Analytics Architecture 52

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

Mentormate

JUNE 26, 2023

In this blog, we’ll focus on how AI can help power digital transformation toward the next generation of process technology. Another key driver of cognitively augmented business processes is the ever-increasing amount and variety of the so-called cognitive services available in the Amazon Web Services (AWS), Azure, and Google marketplaces.

Artificial Inteligence 98

Artificial Inteligence ChatGPT Weak Development Team Insurance 98

Actian

FEBRUARY 5, 2020

Many companies are adopting multi-cloud deployments, stratifying data across Azure, and AWS environments. Scalability. To learn more about this topic, check out a related blog, “ Put the Analytics Compute Where the Data Lies.” Your hybrid cloud data warehouse should support multi-cloud deployment.

Cloud 40

Cloud Data Storage Analytics 40

Altexsoft

FEBRUARY 11, 2020

Pros include: Supports cloud monitoring in AWS and Azure. Scalable and flexible. TheHive is a scalable incident response platform that you can use for case and alert management. Scalable and flexible. OwlH is a scalable, network intrusion detection system. Want to write an article for our blog?

Tools 109

Tools Linux Analysis Open Source 109

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. They use it to feed advanced analytics programs and machine learning and statistical methods to develop data for use in predictive modeling. Cloud computing.

Big Data 52

Big Data Data Engineering Engineering Data 52