Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. In the case of Cloud-based storage, bandwidth requirements are associated costs for data retrieval that play a vital role in the design and operations of the data lake.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Deloitte calculated that companies with data-driven CEOs are 77 percent more likely to succeed) and in today’s business world it’s absolutely self-evident that data is the key to success.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Openxcell

JANUARY 18, 2022

DevOps has become an efficient practice in delivering and maintaining software deployment quality. Now, businesses are progressing towards faster deployment with high software quality. To stay ahead of the competition, it is essential to adopt DevOps practices and leverage the correct DevOps tools. Top DevOps Tools list.

DevOps 52

DevOps Tools Open Source Testing 52

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Government 104

Government Enterprise Strategy Data 104

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Data 52

Data Storage Analytics Budget 52

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. Is it still so?

Backup 115

Backup Azure Software Review Systems Review 115

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Protera

MAY 23, 2023

There are several quality cloud providers on the market, but you want to choose the one that best aligns with your unique business requirements and objectives. Other areas of focus to this end could include security, performance efficiency, scalability, and of course cost.

Cloud 52

Cloud Testing Data Center Systems Review 52

Existek

JANUARY 27, 2023

Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments. Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

FEBRUARY 24, 2023

Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice. Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. Nodes host pods which are the smallest components of Kubernetes.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

DECEMBER 14, 2022

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. Taking this into account, Docker is a favorite of CI/CD practices and DevOps as it speeds up deployments, simplifies updates, and allows teammates to work efficiently together. Common Docker use cases.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. To prepare data for its further analysis, it has to be placed into a single storage. This way, different business units can query it and analyze information from multiple angles. Reflects the source data.

Architecture 50

Architecture Enterprise Data Technical Review 50

TechCrunch

JANUARY 16, 2021

DevOps, martech, digital health. DevOps, cyber, enterprise software. I recently invested in three seed-stage companies that are in stealth mode: an open-source cloud infrastructure company, a people analytics (HR) SaaS company and a next-generation business-intelligence platform. Natalie Refuah, Viola Growth.

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Cloudera

JUNE 16, 2022

These desired outcomes beget the need for a distributed streaming storage substrate optimized for ingesting and processing streaming data in real-time. As Kafka became the standard for the streaming storage substrate within the enterprise, the onset of Kafka blindness began. What is Kafka blindness? Who is affected?

Data 84

Data Disaster Recovery Analytics Microservices 84

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Databricks lakehouse platform architecture. Delta Lake integrations.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64