CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We

Big Data 109

Big Data Analytics AWS Data 109

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. What is OLAP: Online Analytical Processing. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

DevOps.com

MAY 13, 2021

Expands Beyond Award-Winning Log Analytics to Support SQL on Amazon Web Services and Google Cloud Platform Boston, MA, May 13, 2021—ChaosSearch has expanded its award-winning log analytics Data Lake Platform to deliver the industry’s first multi-model, multi-cloud data lake for cost effective analytics and business intelligence at scale.

Business Intelligence 56

Business Intelligence Analytics Google Cloud Cloud 56

CIO

DECEMBER 19, 2024

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. Source: IoT Analytics. AWS IoT Analytics. IoT Analytics has templates to build predictive maintenance models. billion to 21.5 It easily integrates with.

IoT 141

IoT Azure AWS Transportation 141

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance.

Big Data 78

Big Data Data Azure Google Cloud 78

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 204

Technical Review Pharmaceuticals Security Training 204

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

Sustainability 106

Sustainability Company Artificial Inteligence Machine Learning 106

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

CIO

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Real Estate 148

Real Estate Data Generative AI Machine Learning 148

DataRobot

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Data Analysis Must Include Business Value. To drive business value and successfully apply AI , it’s critical that members of data and analytics teams clearly articulate the underlying business value. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

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. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture. Architecture.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Analytics Scalability Google Cloud 52

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

DataRobot

SEPTEMBER 14, 2021

Our newly-launched DataRobot AI Cloud turns the possibilities of AI into tangible realities. Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Now, you can deploy AI anywhere, across multiple clouds, the data center, and the edge.

Data Center 52

Data Center Cloud Google Cloud Analytics 52

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. within a single, centralized location for analytics and reporting. Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. While SQL is used, the primary processing is done with programming languages like Java, Scala and Python.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

OCTOBER 21, 2022

Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. A subscriber is a receiving program such as an end-user app or business intelligence tool. Cloudera , focusing on Big Data analytics. Kafka vs ETL.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

JULY 19, 2022

The organizational shift means switching from centralized ownership of data by specialists who run the data platform technologies to a decentralized model pushing ownership and accountability of the data back to the business domains where data is produced or used. So, to avoid any confusion, please be aware that data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

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

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Strategy Driven

MAY 26, 2021

Over the past few years, the power of machine learning and AI has become a viable tool in business development because of the analytical and data processing capabilities of modern hardware and accompanying software tools. Some of the most useful AI suites include: Google Cloud AI. Google Cloud AI.

Artificial Inteligence 34

Artificial Inteligence Machine Learning Tools Azure 34

Existek

NOVEMBER 22, 2021

Business Intelligence. The business intelligence component works with all the information gathered from the whole system. Cloud Platforms. AWS, Google Cloud Platform, and Microsoft Azure dominate the cloud world and take the first three places on the list of the most used cloud platforms.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. Developers working in environments that apply Google Cloud for their intelligent solutions would benefit the most from it. Business Intelligence developer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Openxcell

DECEMBER 27, 2024

The company has leading capabilities in digital, cloud, and security and offers professional AI consulting services to businesses worldwide. In addition, Accenture delivers AI strategy, implementation, development, Gen AI, and advanced analytics to users worldwide. Founded: 2009 Location: London, UK Employees: 251-500 8.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 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

Data Virtualization

APRIL 7, 2020

Cloud marketplaces are not new and provide users with a smart, low-touch, easy way to get started with data management in the cloud. In today’s market buyers want better solutions to meet their personalized needs, and this has made public.

Cloud 52

Cloud Meeting Marketing Data 52

Existek

JANUARY 27, 2023

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. Cloud computing enables financial institutions to access IT resources, such as servers, storage, and software, over the internet.

Software Development 52

Software Development Trends Technology Software 52