ParkMyCloud

MARCH 13, 2020

For example, for relational and NoSQL databases, data warehousing, Big Data processing, and/or backup and recovery. Use cases: Streaming workloads, big data, data warehouses, log processing. Use cases: Throughput-oriented storage for large volumes of data that is infrequently accessed.

AWS 57

AWS Storage Comparison Serverless 57

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Cloud-Native Design Patterns. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on Azure.

Storage 93

Storage Azure Technical Review Database Administration 93

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

ParkMyCloud

JUNE 19, 2020

There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ).

Azure 64

Azure Comparison Storage Virtualization 64

Mobilunity

MAY 8, 2023

It includes tools for data lineage, metadata management, and access control. When you understand how large the scale of Enterprise Data Lake services are, then one way or another you come to understand the importance of big data consulting.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

AUGUST 19, 2022

Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud. To create the Power BI embedded capacity, you need to have at least one account with Power BI and Azure subscription in your organizational directory. Power BI data sources.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Actian

JANUARY 25, 2019

In head-to-head comparisons with Cloudera Impala, Snowflake, Amazon Redshift and Microsoft SQL Server, Actian Vector outperformed – demonstrating significant performance advantages over competitors. Hybrid Data Conference.

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Cloudera

NOVEMBER 10, 2021

For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business. Furthermore, Apache Ranger now supports Public Cloud objects stores like Amazon S3 and Azure Data Lake Store (ADLS).

Policies 76

Policies Groups Data Tools 76

Mobilunity

MAY 31, 2021

Such professionals need to be knowledgeable in Big Data, security, cloud solutions, mobile, and web development; Implementation of cross-platform apps. Such programmers can create paths to store and retrieve data on AWS cloud as well. Azure API Management Developer. Hire API Development Team with Mobilunity!

Development 52

Development PHP Software Review Technical Review 52

Instaclustr

OCTOBER 11, 2021

In the ever-growing field of big data, Apache Kafka has become a widely adopted distributed streaming platform. In this blog, we will look specifically at one of those alternatives, Azure Service Bus. Are Azure Service Bus and Kafka the Same? Apache Kafka vs Azure Service Bus.

Azure 62

Azure Open Source Comparison Scalability 62

Mobilunity

JANUARY 4, 2023

The Differences between AWS, Azure, and GCP Engineers. One of its main competitors, Microsoft Azure, offers some of the most scalable and effective software solutions. High-end big data analytics solutions are available through Google Cloud Platform (GCP), which also makes it simple to connect to other vendor products.

DevOps 52

DevOps How To Azure Weak Development Team 52

Altexsoft

JANUARY 14, 2021

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? How to choose cloud data warehouse software: main criteria. Criteria to consider when choosing cloud data warehouse products. Data loading.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

APRIL 16, 2021

The easiest way to understand how OLAP works is to compare OLAP and OLTP databases and explore how they structure and process data. OLTP vs OLAP: technology comparison. There are numerous differences between OLTP and OLAP databases in terms of purpose, information structure, and data access capabilities. OLAP providers chart.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. How to choose data integration software: key comparison criteria.

Tools 52

Tools Data Software Review Open Source 52

Mobilunity

NOVEMBER 10, 2022

Those could be: Microsoft Technology Associate: Database Fundamentals SQL Certification; Microsoft Certified: Azure Database Administrator Associate. In-House vs Outstaffing vs Freelancers: Comparison Table. Eastern Europe and Ukraine are much more budget-friendly in comparison to the US, the EU, or the UK.

Development 52

Development How To Comparison Recruiting 52

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Mobilunity

JUNE 14, 2021

Such professional should be experienced enough to be able to work simultaneously with finance, risk, marketing, logistics, procurement, and information technology departments to be able to collect and process relevant data correctly. The salaries are provided for comparison purposes and could not be entirely accurate.

Weak Development Team 52

Weak Development Team Development Recruiting Business Intelligence 52

Altexsoft

APRIL 26, 2022

The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Difficult bulk data migration.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

DECEMBER 23, 2022

For more information, read our detailed, head-to-head ETL vs ELT comparison. There’s the need to make real-time decisions based on data. A project requires large amounts of both structured and unstructured data , such as data generated by sensors, GPS trackers, and video recorders. This doesn’t apply to cloud ETL, though.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

FEBRUARY 26, 2020

Data sharing. Let’s have a look at the main Tableau rivals on the market: Power BI is an analytical cloud-platform by Microsoft hosted on Azure. As of 2020, it’s an industry leader, offering the broadest capabilities for storing, transforming, and analyzing data compared to other vendors. Platform availability and deployment.

Tools 116

Tools Analytics Mobile Enterprise 116

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. The infrastructure is handled by IoT platforms such as Cisco IoT, AWS IoT Platform, or Microsoft Azure IoT. You can review our comparison to make a choice. Application layer where reporting and device control happens.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

Altexsoft

SEPTEMBER 21, 2023

You can stream logs, metrics, and other data from your apps, endpoints, and infrastructure, whether cloud-based, on-premises, or a mix of both. With native integrations for major cloud platforms like AWS, Azure, and Google Cloud, sending data to Elastic Cloud is straightforward.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

OCTOBER 2, 2020

MDM activities include accumulating, cleansing of data, its comparison, consolidation, quality control. It’s very important to create a comprehensive data governance policy. Otherwise, different teams may have their own views on the key data entities which will lead to many controversies.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

JUNE 20, 2019

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

SEPTEMBER 23, 2021

To give you a clear distinction between these three similar concepts, let’s make a quick comparison. Data warehouse vs data lake vs data hub comparison table. Data warehouse vs data hub. A data warehouse (DW) is a unified storage for all corporate data. Azure Data Factory.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

We used data from the first nine months (January through September) of 2021. When doing year-over-year comparisons, we used the first nine months of 2020. AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. 1 Year Reserved . 13,000-18,500. 7,500-11,500. 8,500-14,500. 5,500-9,000. Conclusion.

Cloud 84

Cloud Technical Review Storage Backup 84

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing. It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. The horse race? That’s just what it is.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145