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

MARCH 13, 2025

We also launched an internal AI user community where employees can: Share best practices Build prompt libraries Discuss real-world applications Some companies have completely blocked AI, fearing security risks. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance.

Company 186

Company Generative AI Insurance Education 186

CIO

DECEMBER 10, 2024

million on inference, grounding, and data integration for just proof-of-concept AI projects. The rise of vertical AI To address that issue, many enterprise AI applications have started to incorporate vertical AI models. It requires the ability to break down silos between disparate data sets and keep data flowing in real-time.

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. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. We currently have about 10 AI engineers and next year, itll be around 30.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

Xebia

OCTOBER 18, 2024

DuckDB is an in-process analytical database designed for fast query execution, especially suited for analytics workloads. However, DuckDB doesn’t provide data governance support yet. Dbt is a popular tool for transforming data in a data warehouse or data lake. Why Integrate DuckDB with Unity Catalog?

Open Source 162

Open Source AWS Government Technical Review 162

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

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 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

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. Big data is at the heart of how a lot of applications, and a lot of business overall, works these days.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

DECEMBER 4, 2024

We’ve all heard about how difficult the job market is on the applicant side, with candidates getting very little response from prospective employers. The new team needs data engineers and scientists, and will look outside the company to hire them. But the hiring side isn’t much easier.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

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

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

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

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

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. Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way.

Google Cloud 206

Google Cloud CTO Coach Survey Software Development 206

CIO

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

APRIL 2, 2025

Whether in process automation, data analysis or the development of new services AI holds enormous potential. But how does a company find out which AI applications really fit its own goals? AI consultants support companies in identifying, evaluating and profitably implementing possible AI application scenarios. Communication.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

TechCrunch

OCTOBER 11, 2022

Life science businesses like big pharmaceutical companies have a singular set of needs when it comes to building applications. Their models and algorithms tend to be more sophisticated and data-intensive than most industries. We positioned ourselves from the get-go for rapid growth. So we were focused on revenue initially.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

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. Figure 1: Key component within CDP Data Engineering.

Data Engineering 104

Data Engineering Engineering Data Tools 104

CIO

MARCH 18, 2025

The company also unwrapped a suite of Experience Platform Agents built on Agent Orchestrator for use within Adobe enterprise applications like Adobe Real-Time CDP, Adobe Experience Manager, Adobe Journey Optimizer, and Adobe Customer Journey Analytics.

B2B 97

B2B B2C Guidelines Analysis 97

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. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 239

Machine Learning Artificial Inteligence Company Case Study 239

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 79

Data Engineering Engineering Data Big Data 79

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

AWS Machine Learning - AI

NOVEMBER 20, 2024

Configure IAM Identity Center An Amazon Q Business application requires you to use IAM Identity Center to manage user access. IAM Identity Center is a single place where you can assign your workforce users, also known as workforce identities , to provide consistent access to multiple AWS accounts and applications.

Data 111

Data AWS Groups Knowledge Base 111

TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

TechCrunch

NOVEMBER 14, 2022

Many are either either java-based solutions or SQL-based analytics solutions. However, UK startup Quix says it is a platform for developing event-driven applications with Python , which can have uses in, say, physics-based data modelling and anomaly detection in machine learning. It’s now raised a £11m / $12.9m

Data 208

Data B2B Artificial Inteligence Machine Learning 208

AWS Machine Learning - AI

MARCH 13, 2025

In this post, we dive deeper into one of MaestroQAs key featuresconversation analytics, which helps support teams uncover customer concerns, address points of friction, adapt support workflows, and identify areas for coaching through the use of Amazon Bedrock.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems.

LAN 215

LAN Systems Administration How To Software Engineering 215

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

CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 174

Strategy Technical Review Data Software Review 174

Cloudera

JANUARY 9, 2025

But over the years, data teams and data scientists overcame these hurdles and AI became an engine of real-world innovation. Today, its everywherefrom conversational chatbots anticipating and reacting to questions to copilots accelerating development to advanced analytics driving strategic decisions.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

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.”

IoT 218

IoT Leadership SDLC Machine Learning 218

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218