Analytics, Data Engineering and Report

What is a data engineer? An analytics role in high demand

CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Data Engineering

Data Engineering Analytics Engineering Data

What is a data engineer? An analytics role in high demand

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering

Data Engineering Analytics Engineering Data

NJ Transit creates ‘data engine’ to fuel transformation

CIO

SEPTEMBER 12, 2022

Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Today, NJ Transit is a “data engine on wheels,” says the CIDO. As a result, NJ Transit’s data maturity as an organization has grown.

Data Engineering

Data Engineering Engineering Data Transportation

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How FiveStars re-engineered its data engineering stack

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

Data Engineering Engineering Data CTO Coach

5 tips for excelling at self-service analytics

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

Analytics Metrics Government Business Intelligence

Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

Operating System

Operating System Technical Review Analytics Systems Review

Fundamentals of Data Engineering

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

Data Engineering Engineering Data Technical Review

Predictive analytics helps Fresenius anticipate dialysis complications

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence

Artificial Inteligence Analytics Artificial Intelligence Machine Learning

What is data analytics? Analyzing and managing data for decisions

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

Analytics Data Analysis Business Analytics

Data engineers vs. data scientists

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering

Data Engineering Engineering Data Artificial Inteligence

Savant Labs aims to bring analytics directly to line of business users

TechCrunch

MARCH 1, 2023

Too often over the last decade, line of business people have been forgotten when it comes to analytics. Even though these folks are the closest to what’s happening with customers, they tend to get left behind when it comes to tools, which are often geared for data scientists or at least people with a deep understanding of data.

Analytics

Analytics Data Engineering Data Engineering

What is a data analyst? A key role for data-driven business decisions

CIO

JUNE 13, 2024

They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis. The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. billion this year, and would see 19.3%

Data

Data Analytics Transportation Business Intelligence

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data

Data Database Administration Data Engineering Artificial Inteligence

How to Screen and Interview Fintech Data Engineer

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering

Data Engineering Fintech Engineering Data

Add Flexera’s State of the Cloud Report to Your Summer Reading List

Cloudera

AUGUST 27, 2024

It’s nearing the end of the summer in North America, and one report has been a staple on my reading list for more than a decade: the Flexera State of the Cloud Report. I’ve referenced the latest iteration of the report dozens of times since its inception. 89% of respondents report using multiple clouds, up from 87% in 2023.

Report

Report Cloud Architecture Analytics

Data Engineers of Netflix?—?Interview with Kevin Wylie

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

Data Engineering Engineering Data Big Data

1. Streamlining Membership Data Engineering at Netflix with Psyberg

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions.

Data Engineering

Data Engineering Engineering Data Systems Review

Enhancing the Business Strategy with Data Engineering Solutions

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering

Data Engineering Engineering Data Strategy

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

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

Data Engineering Engineering Data Artificial Inteligence

Data Scientist vs Data Engineer: Differences and Why You Need Both

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

Data Engineering Engineering Data Artificial Inteligence

The 10 most in-demand IT jobs in finance

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Full-stack software engineer. Back-end software engineer. DevOps engineer.

Software Engineering

Software Engineering Data Engineering DevOps AWS

The 10 most in-demand IT jobs in finance

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Full-stack software engineer. Back-end software engineer. DevOps engineer.

Software Engineering

Software Engineering Data Engineering DevOps AWS

What is Data Engineer: Role Description, Responsibilities, Skills, and Background

Altexsoft

APRIL 22, 2020

But, understanding and interpreting data is just a final stage in a long way, as the information goes from its raw format to the fancy analytical boards. So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. What is a data engineer?

Data Engineering

Data Engineering Engineering Artificial Inteligence Data

Questions we’re tired of hearing: Why can’t I just query raw data?

Xebia

OCTOBER 25, 2024

Let’s get one thing straight: we, analytics engineers, love our jobs and solving problems with clients, but some questions we hear day in and day out are just plain exhausting. But, diving headfirst into raw data without a plan is like trying to find a needle in a haystack, blindfolded, in a blizzard. Oh, sweet summer child.

Data

Data Metrics Analytics Quality Assurance

IT leaders get creative to fill data science gaps

CIO

JULY 28, 2022

“Even though we’ve seen a huge proliferation of data, the supply for analysts does not meet the demand,” says Bess Healy, senior vice president and CIO at Stamford, Conn.-based We try to be data-driven in our decisions so we have a great need for analytics skill sets. … These people are making up a data science support system.

Data

Data Artificial Inteligence Machine Learning Fractional CTO

Analytics Engineer: Job Description, Skills, and Responsibilities

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. What an analytics engineer is.

Analytics

Analytics Engineering Data Engineering Software Engineering

What is data visualization? Presenting data for decision-making

CIO

AUGUST 5, 2022

Today, data visualization encompasses all manners of presenting data visually, from dashboards to reports, statistical graphs, heat maps, plots, infographics, and more. What is the business value of data visualization? It has an easy-to-use interface for making dashboards and reports. Data analyst: $64K.

Data

Data Analytics Travel Business Intelligence

Big Data Engineer: Role, Responsibilities, and Job Description

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

Big Data Data Engineering Engineering Data

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. 2021 Gartner Magic Quadrant for Cloud DBMS .

Report

Report Cloud Technical Advisors Analytics

PepsiCo transforms for the digital era

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. billion in revenue.

Analytics

Analytics KPI IoT Azure

IT leaders’ AI talent needs hinge on reskilling

CIO

JUNE 3, 2024

times faster than for all jobs, according to a recent PwC report. Deloitte’s State of Generative AI in the Enterprise report for the second quarter of 2024, found that 75% of the nearly 2,000 IT and line-of-business leaders surveyed anticipate changing their talent strategies within the next two years because of generative AI.

Generative AI

Generative AI Technical Review Technical Advisors Software Review

Optimizing Your Data Pipeline: Choosing the Right Approach for Efficient Data Handling and Transformation Through ETL and ELT

Dzone - DevOps

NOVEMBER 5, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Data Engineering: Enriching Data Pipelines, Expanding AI, and Expediting Analytics. Two major approaches dominate this space: extract, transform, and load (ETL) and extract, load, and transform (ELT).

Data

Data Data Engineering Analysis Analytics

Is the modern data stack just old wine in a new bottle?

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

Data Storage Analytics Data Engineering

DataOps: Adjusting DevOps for Analytics Product Development

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

Analytics DevOps Development Software Review

Achieving Business Analytics Success

Datavail

MARCH 31, 2022

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

Business Analytics

Business Analytics Analytics Artificial Inteligence Strategy

The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

JANUARY 6, 2023

For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. Recruiting in the tech industry remains strong, according to the report.

LAN

LAN Systems Administration How To Software Engineering

CIOs are stretched more than ever before — and that’s a good thing

CIO

JULY 17, 2024

Foundry’s 2024 State of the CIO research report shows 87% of CIOs are now more involved in leading digital transformation initiatives than their business counterparts, and 85% of IT leaders who responded view the CIO role as a changemaker, increasingly taking the lead on business and technology initiatives.

Technology

Technology Innovation Leadership Analytics

Cloudera and Snowflake Partner to Deliver the Most Comprehensive Open Data Lakehouse

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

Data Analytics Systems Review Architecture

Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months.

Technical Review

Technical Review Analytics AWS SCRUM

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence

Business Intelligence Analytics Analysis Data

Optimizing Connected Logistics Operations with Data Analytics

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. To understand how we must first look into the many areas of data analytics.

Analytics

Analytics Data IoT Trends

10 highest-paying IT jobs

CIO

APRIL 27, 2023

The past year was rough for the tech industry, with several companies reporting layoffs and the looming threat of a recession. For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. as of January.

Technical Review

Technical Review Software Review Systems Review Software Engineering

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. report they have established a data culture 26.5%

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

Falkon closes $16M round to automate sales workflows and analyses

TechCrunch

SEPTEMBER 1, 2022

Falkon , a sales analytics platform that uses AI to attempt to show where successful product sales are occuring in an organization, today announced that it raised $16 million in a funding round led by OMERS Ventures with participation from Greylock Partners, Trilogy Financial, Flying Fish Partners and Madera Partners.

Weak Development Team

Weak Development Team Marketing Analytics Business Intelligence

What is a data engineer? An analytics role in high demand

What is a data engineer? An analytics role in high demand

NJ Transit creates ‘data engine’ to fuel transformation

Webinars

How FiveStars re-engineered its data engineering stack

5 tips for excelling at self-service analytics

Analytics operating system Redbird makes data more accessible to non-technical users

Fundamentals of Data Engineering

Predictive analytics helps Fresenius anticipate dialysis complications

What is data analytics? Analyzing and managing data for decisions

Data engineers vs. data scientists

Savant Labs aims to bring analytics directly to line of business users

What is a data analyst? A key role for data-driven business decisions

What is a data architect? Skills, salaries, and how to become a data framework master

How to Screen and Interview Fintech Data Engineer

Add Flexera’s State of the Cloud Report to Your Summer Reading List

Data Engineers of Netflix?—?Interview with Kevin Wylie

1. Streamlining Membership Data Engineering at Netflix with Psyberg

Enhancing the Business Strategy with Data Engineering Solutions

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Data Scientist vs Data Engineer: Differences and Why You Need Both

The 10 most in-demand IT jobs in finance

The 10 most in-demand IT jobs in finance

What is Data Engineer: Role Description, Responsibilities, Skills, and Background

Questions we’re tired of hearing: Why can’t I just query raw data?

IT leaders get creative to fill data science gaps

Analytics Engineer: Job Description, Skills, and Responsibilities

What is data visualization? Presenting data for decision-making

Big Data Engineer: Role, Responsibilities, and Job Description

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

PepsiCo transforms for the digital era

IT leaders’ AI talent needs hinge on reskilling

Optimizing Your Data Pipeline: Choosing the Right Approach for Efficient Data Handling and Transformation Through ETL and ELT

Is the modern data stack just old wine in a new bottle?

DataOps: Adjusting DevOps for Analytics Product Development

Achieving Business Analytics Success

The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIOs are stretched more than ever before — and that’s a good thing

Cloudera and Snowflake Partner to Deliver the Most Comprehensive Open Data Lakehouse

Foote Partners: bonus disparities reveal tech skills most in demand in Q3

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Optimizing Connected Logistics Operations with Data Analytics

10 highest-paying IT jobs

Unlocking the Power of AI with a Real-Time Data Strategy

Falkon closes $16M round to automate sales workflows and analyses

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