Agile Engine

SEPTEMBER 6, 2018

Our latest client, a business intelligence startup with exabytes of expertise in the hospitality industry, will soon be launching a new product. We work with some of the latest technologies including serverless architectures , React Native and Flutter , Go, and Scala. Or rather, it hasn’t been until now.

Hotels 49

Hotels Film Serverless Mobile 49

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Thus, our surveys have shown that companies tend to apply machine learning and AI in areas where they have prior simpler use cases (business intelligence and analytics) that required data technologies to already be in place. Building a Serverless Big Data Application on AWS”. AI and Data technologies in the cloud.

Big Data 86

Big Data Technology Tools Cloud 86

CollabNet VersionOne

OCTOBER 4, 2018

To some degree DevOps has become more about those details (containers, serverless, SRE, observability, etc.) Each year the industry has focused on a different area of DevOps — at first empathy, next tools and delivery and now there is a lot of buzz around business value and customer satisfaction. A lot of details have been filled in.

DevOps 40

DevOps Handbook Weak Development Team Serverless 40

Apiumhub

AUGUST 12, 2021

Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. One of the real strengths of Snowflake is the serverless experience it provides. Zero management.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Honeycomb

JUNE 10, 2022

In the new Magic Quadrant report, Gartner supports this in describing the key difference between observability and traditional APM: “observability-centric solutions support an exploratory, analytics-driven workflow that may bear more resemblance to business intelligence (BI) than IT operations.”

Technical Advisors 104

Technical Advisors Research Serverless Tools 104

Cloudera

SEPTEMBER 23, 2022

To the user, it is a serverless experience. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. . It can grow automatically as needed, driven by your usage and budget.

Government 105

Government Enterprise Strategy Data 105

LaunchDarkly

JANUARY 17, 2019

Serverless functions let you quickly spin-up cost-efficient, short-lived infrastructure. IBM Developer is a community of developers learning how to build entire applications with AI, containers, blockchains, serverless functions and anything else you might want to learn about. But how do you get started with all of these amazing tools?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. The rest of maintenance duties are carried by Snowflake, which makes this solution practically serverless.

Backup 115

Backup Azure Software Review Systems Review 115

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What is a data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Cloudera

SEPTEMBER 23, 2022

To the user, it is a serverless experience. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. . It can grow automatically as needed, driven by your usage and budget.

Data 52

Data Storage Analytics Budget 52

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. It allows users to focus on developing and deploying applications without concerning themselves with the intricacies of the infrastructure or software updates.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

The Crazy Programmer

SEPTEMBER 16, 2019

It is serverless means there is no need to install, manage, initialize, configure and troubleshoot. Read-only SQL queries via the MongoDB Connector for Business Intelligence (BI). SQLite was originally released in 2000. It is a relational database. SQLite is the lite version of SQL which runs on the devices with low memory.

Serverless 31

Serverless Scalability Backup Business Intelligence 31

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

DECEMBER 14, 2022

The Good and the Bad of the SAP Business Intelligence Platform. The Good and the Bad of Serverless Architecture. The Good and the Bad of Selenium Test Automation Software. The Good and the Bad of Ranorex GUI Test Automation Tool. The Good and the Bad of Firebase Backend Services.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

MAY 20, 2020

Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. IoT Analytics has templates to build predictive maintenance models.

IoT 141

IoT Azure AWS Transportation 141

Abhishek Tiwari

JULY 20, 2019

Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. With the emergence of versioned serverless functions and per-branch environments, teams have several tools on their disposal to unblock themselves.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. The Good and the Bad of Serverless Architecture. It links to the broker to be aware of and fetch certain updates. So, publishers and subscribers know nothing about each other. The Good and the Bad of Flutter App Development.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

FEBRUARY 24, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

SEPTEMBER 21, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

JULY 18, 2023

Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Another site of architectural innovation is in serverless, or function-as-a-service (FaaS), computing. This year, “serverless” nearly cracked the top 100 of all proposal terms: it improved 1,662 positions year-over-year to sit at No. BI,” short for "business intelligence,” dropped 19 places, year over year, to No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 99

Machine Learning Artificial Inteligence Technical Review Technology 99

CIO

DECEMBER 19, 2022

The 36,000-square-foot innovation hub will be led by the company’s CTO, Saurabh Mittal, and Markandey Upadhyay, head of business intelligence unit for Piramal. For instance, from day one, we use serverless computing and cloud-managed databases. We have cloud native and have designed everything keeping cloud in mind.

Innovation 291

Innovation Artificial Inteligence Blockchain Machine Learning 291

Altexsoft

MARCH 30, 2023

Here are four main applications of the platform across industries: data warehousing — SQL queries and business intelligence (BI) at scale; data engineering — building and maintaining data pipelines , running ETL and ELT workloads; data streaming and real-time analytics , and data science and machine learning projects.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64