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

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.

Analytics 205

Analytics Data Technical Review Analysis 205

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

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

CTOvision

FEBRUARY 20, 2015

Big Data Analytics company Qurius now also offers professional services as Deep 6 Analytics. Experienced Data Scientists / Strategists / Exorcists). Qurius builds cutting edge analytics solutions to analyze massive amounts of unstructured data for Government and Industry. For more see [link].

Big Data 112

Big Data Analytics Data Company 112

CIO

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

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. CDP data lifecycle integration and SDX security and governance.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Perficient

FEBRUARY 13, 2025

SAP Databricks is important because convenient access to governed data to support business initiatives is important. 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.

Government 64

Government Open Source Artificial Inteligence Machine Learning 64

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 119

Government Artificial Inteligence Machine Learning Data 119

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

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Data 84

Data Analytics Systems Review Architecture 84

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 82

Data Engineering Engineering Data Generative AI 82

CTOvision

MARCH 5, 2014

By Bob Gourley L-3 Acquires Data Tactics Corporation – Adds New Big Data Analytics and Cloud Solutions Capabilities. NEW YORK, Mar 05, 2014 (BUSINESS WIRE) — L-3 Communications announced effective today that it has acquired Data Tactics Corporation. government security clearances.

Analytics 104

Analytics Big Data Data Engineering Analysis 104

CTOvision

MAY 1, 2014

IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers. This is a green-fields development position for a passionate and experienced engineer. Primary Responsibilities.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

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. By strategically utilizing data, organizations gain a competitive edge, unlocking opportunities for growth.

Strategy 174

Strategy Technical Review Data Software Review 174

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 132

Trends Technology Security Artificial Inteligence 132

TechCrunch

SEPTEMBER 29, 2022

Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense. Moreover, 75% percent of data teams feel that outdated migration and maintenance processes are costing them productivity and capital.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform. Additional integrations with services like Amazon Data Firehose , AWS Glue , and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

TechCrunch

AUGUST 16, 2022

For example, he says, with just the data from a single previous run, some customers have accelerated their Apache Spark jobs by up to 80% — Apache Spark being the popular analytics source engine for data processing. With Sync, this can be done with a single click.”

Resources 175

Resources Cloud Engineering AWS 175

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 111

Data Artificial Inteligence Machine Learning Analytics 111

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Governing digital transformation.

Government 57

Government Compliance Artificial Inteligence Machine Learning 57

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management.

Cloud 111

Cloud Data Compliance Analytics 111

CIO

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. The impact of the use of different analytical techniques in this field increases the profitability of these companies by 5% to 10%, at the same time increasing the brand value by increasing customer satisfaction.

Energy 81

Energy Analytics Data Artificial Inteligence 81

CIO

DECEMBER 16, 2022

The average pay premium paid for another qualification, Certified in the Governance of Enterprise IT (CGEIT) , rose 37.5%, also hitting 11% of base salary. The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% in the previous six months. since March.

Technical Review 148

Technical Review Analytics SCRUM AWS 148

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 109

Trends Data Artificial Inteligence Machine Learning 109

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Government 75

Government Enterprise Artificial Inteligence Strategy 75

TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based Both were originally developed at Uber, which several years ago transitioned governance of the projects to the Linux Foundation.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

JULY 17, 2024

We’ve got amazing data scientists at the club,” he says. “I I deal with the underlying data-engineering part, and they do the clever analytics. On the one hand, they’re being asked to promote innovation and help generate revenue, and on the other, they’re often charged with governance and security, too.”

Technology 198

Technology Innovation Leadership Analytics 198

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75