CIO

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Real-time analytics.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

Azure 91

Azure Analytics Storage Machine Learning 91

CIO

DECEMBER 10, 2024

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. million on inference, grounding, and data integration for just proof-of-concept AI projects. In fact, business spending on AI rose to $13.8

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Easy job deployment.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

CIO

APRIL 23, 2025

Features like time-travel allow you to review historical data for audits or compliance. Streamline processing: Build a system that supports both real-time updates and batch processing , ensuring smooth, agile operations across policy updates, claims and analytics.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise.

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

Cloudera

JANUARY 9, 2025

As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Its a signal that were fully embracing the future of enterprise intelligence. AI today involves ML, advanced analytics, computer vision, natural language processing, autonomous agents, and more.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 189

Data Engineering Engineering Data CTO Coach 189

CIO

MARCH 13, 2025

Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth. The future is coming fast make sure youre ready to meet it head-on.

Company 186

Company Generative AI Insurance Education 186

CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 205

Analytics Metrics Government Business Intelligence 205

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

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. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. The opportunity that Firebolt is targeting is a ripe one in the world of enterprise. billion valuation. (It’s

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 million seed funding round led by La Famiglia VC.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

CIO

FEBRUARY 19, 2025

The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. Elliott Franklin, CISO at Fortitude Re, a global reinsurance company, says his firm is also using enterprise subscriptions to ChatGPT and Copilot to integrate gen AI into operations.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Data Engineering 113

Data Engineering Engineering Data Storage 113

CIO

FEBRUARY 25, 2025

Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth. Arti Deshpande is a Senior Technology Solutions Business Partner for Brown & Brown Insurance.

Data 136

Data Innovation Insurance Culture 136

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

MARCH 18, 2025

Adobe said Agent Orchestrator leverages semantic understanding of enterprise data, content, and customer journeys to orchestrate AI agents that are purpose-built to deliver targeted and immersive experiences with built-in data governance and regulatory compliance.

B2B 97

B2B B2C Guidelines Analysis 97

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. Enterprise Data Engineering From the Ground Up.

Data Engineering 104

Data Engineering Engineering Data Tools 104

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 83

Data Engineering Engineering Data Generative AI 83

CIO

JULY 28, 2022

“We try to be data-driven in our decisions so we have a great need for analytics skill sets. … Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. And machine learning engineers are being hired to design and build automated predictive models.

Data 215

Data Machine Learning Artificial Inteligence Fractional CTO 215

TechCrunch

NOVEMBER 4, 2022

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Here’s where MLOps is accelerating enterprise AI adoption. Self-service analytics.

Data 218

Data Storage Analytics Data Engineering 218

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Leadership 218

Leadership IoT SDLC Machine Learning 218

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Analytics 217

Analytics KPI IoT Azure 217

Cloudera

MARCH 6, 2024

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

Analytics 109

Analytics Artificial Inteligence Data Generative AI 109

TechCrunch

DECEMBER 16, 2020

During their time at Segment, Hightouch co-founders Tejas Manohar and Josh Curl witnessed the rise of data warehouses like Snowflake, Google’s BigQuery and Amazon Redshift — that’s where a lot of Segment data ends up, after all. Typically, though, this information is then only used for analytics purposes.

Data 251

Data Analytics B2C Big Data 251

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 93

Enterprise Cloud Data Machine Learning 93

CIO

FEBRUARY 17, 2025

The top barriers hindering enterprises globally from adopting AI are a lack of a clear AI strategy and investment, highlights the IBM AI in Action report. Neudesic leverages extensive industry expertise and advanced skills in Microsoft Azure, AI, data engineering, and analytics to help businesses meet the growing demands of AI.

Azure 117

Azure Metrics Systems Review Technical Review 117