Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. What is an Enterprise Data Warehouse?

Enterprise 52

Enterprise Data Technical Review Analytics 52

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

TechCrunch

MAY 16, 2022

Claravine , a self-described marketing data platform, today announced that it raised $16 million in a Series B round led by Five Elms Capital with participation from Grayhawk Capital, Next Frontier Capital, Peninsula Ventures, Kickstart Fund, and Silverton Partners. ” Claravine’s data management platform.

Marketing 182

Marketing Data Software Review Technical Review 182

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

JANUARY 12, 2023

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

Technical Review 189

Technical Review Technology Innovation Data Center 189

Perficient

FEBRUARY 16, 2023

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks.

Data 110

Data Google Cloud Analytics Cloud 110

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. The first is the business user, who can simply query the data with a natural language question to get results.

Artificial Inteligence 212

Artificial Inteligence Tools Artificial Intelligence Machine Learning 212

CIO

FEBRUARY 13, 2023

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JANUARY 26, 2023

IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. Enterprise technology leaders must differentiate between cost and investment if they want to make the most of their limited budgets.

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Budget Fractional CTO Off-The-Shelf Tourism 345

TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

Protera

SEPTEMBER 13, 2022

Enterprise managed services are becoming essential to large companies in every industry as IT infrastructures and technology in general evolve and advance at a rapid pace. Cloud migration, data intelligence, IT security and digital transformation are just some of the many IT priorities companies are balancing today.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Sunflower Lab

JULY 5, 2023

The enterprises are now actively engaged in creating efficient tools to collaborate with the health sector and can reduce mismanagement and traditional data management methods. Power BI is one of the leading tools in business intelligence software. Why Business Intelligence Software?

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52

CIO

NOVEMBER 22, 2022

The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 363

Retail Minimum Viable Product Architecture Machine Learning 363

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data 90

Data Analytics Open Source Architecture 90

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data 80

Data Analytics Cloud Technical Review 80

Apiumhub

APRIL 22, 2021

Every day quintillion bytes of data are created, and this pace is accelerating at a daily rate. With so much information at our disposal, it is becoming increasingly important for organizations and enterprises to access and analyze the relevant data to predict outcomes and improve services. What is Data Modeling?

Tools 59

Tools Data Business Intelligence Analytics 59

CTOvision

SEPTEMBER 12, 2016

The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. Rick Delgado.

Big Data 147

Big Data Analytics Data Storage 147

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. 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. What is a data architect?

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Data Data Engineering Big Data Architecture 87

Strategy Driven

APRIL 29, 2023

In the digital age, sales lead management has become essential to business growth, and data is the key to unlocking its full potential. Data-driven sales enable companies to gain insights into their customers and prospects, prioritize leads, and optimize their sales pipeline.

Data 48

Data Weak Development Team Real Estate Storage 48

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Cloud Data Healthcare 47

Datavail

SEPTEMBER 15, 2022

Business intelligence (BI) refers to collecting and analyzing data produced by your operations. Analyzing business data allows you to identify insights that will support business decisions that produce growth. How Best Practices for Data Governance Support Business Intelligence.

Government 40

Government Data Business Intelligence Compliance 40

Datavail

SEPTEMBER 28, 2022

Data-driven decision making is proving itself to be invaluable in almost every business vertical. The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. The Current State of Data-Driven Decision Making.

Data 40

Data Business Intelligence Government Analytics 40

Honeycomb

FEBRUARY 3, 2022

You probably have already answered this before, but do you have a good rule of thumb for where o11y [observability] ends and BI [business intelligence]/data warehouses begin? It’s okay if these take longer to run, because you aren’t trying to use this data to react in real time, but rather to feed into other tools or system.

Tools 52

Tools Data Business Intelligence Analysis 52

RapidValue

JUNE 26, 2020

For any organization, be it large or mid-scale, data is important for reviews and predictions and to analyze how effectively the business is running. Apart from generating reports out of daily transactional data, it is equally important that you take a deep dive and analyze the patterns in the historical data.

Analytics 72

Analytics Cloud Technical Review Data 72

Datavail

APRIL 13, 2022

Decades after it was introduced, ETL (extract, transform, load) remains the predominant method of data integration. Along with modern variants such as ELT and ETLT, the ETL process is used to transfer massive amounts of data every day quickly and efficiently. the amount of new data and the speed at which it arrives).

Data 52

Data How To Case Study Storage 52

Datavail

MARCH 24, 2020

With all the modern advancements in data management, organizations stand in need of a rock-solid data strategy. According to a survey by NewVantage Partners, 99 percent of Fortune 1000 executives want to create a data-driven culture, while just 32 percent believe they have achieved this goal.

Strategy 40

Strategy Data Policies Storage 40

Perficient

NOVEMBER 28, 2023

What’s exciting here is that the path to responsibly enabling AI for enterprise is starting to light up. We know it’s going to be an ongoing journey for years to come, but the time for a private pilot leveraging your data, based on your unique use cases, is here.

AWS 52

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Apiumhub

FEBRUARY 25, 2021

Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. What is Data Science? Classification (e.g.,

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. We are bringing back the Strata Business Summit , and this year, we have two days of executive briefings.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

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. Microsoft Power BI is an interactive data visualization software suite developed by Microsoft that helps businesses aggregate, organize, and analyze data.

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Weak Development Team Data Azure Analytics 52

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Machine Learning in the enterprise".

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Flexagon

MARCH 1, 2022

The six founders of Flexagon worked for years in the trenches of enterprise software platforms. We have a combined 100+ years of experience dealing with the complexity of enterprise software development and operations across infrastructure, database, middleware, and applications. Out-of-Box Support for Enterprise Software Platforms .

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UI/UX DevOps Business Intelligence Azure 78

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

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Fractional CTO Program Management Programming Big Data 113