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

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 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

APRIL 30, 2025

Much of this work has been in organizing our data and building a secure platform for machine learning and other AI modeling. We also built an organization skilled in the data engineering and data science required for AI. The manager provides employee notes, the tool writes a draft, and the manager reviews and approves.

Airlines 124

Airlines Strategy ChatGPT Software Review 124

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

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

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. Ronald Van Loon, CEO of Intelligent World, adds business acumen to the list.

Analytics 205

Analytics Data Technical Review Analysis 205

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

The Crazy Programmer

NOVEMBER 6, 2021

IT or Information technology is the industry that has registered continuous growth. The Indian information Technology has attained about $194B in 2021 and has a 7% share in GDP growth. Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 174

Strategy Technical Review Data Software Review 174

CIO

DECEMBER 16, 2022

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. No certification, no problem Bigger premiums were on offer for non-certified technical skills, however.

Technical Review 148

Technical Review Analytics AWS SCRUM 148

CIO

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data engineer.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

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. But despite the bumpy year, demand for technology skills remains strong, with the US tech unemployment rate dropping to 1.5% as of January. Average salary : US$155,934 Increase from 2021 : n/a 3.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? s unique about the role is it sits at the cross-section of data, technology, and analytics.

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

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

JUNE 3, 2024

CIOs and HR managers are changing their equations on hiring and training, with a bigger focus on reskilling current employees to make good on the promise of AI technologies. That shift is in no small part due to an AI talent market increasingly stacked against them. times faster than for all jobs, according to a recent PwC report.

Technical Review 198

Technical Review Generative AI Technical Advisors Software Review 198

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

TechCrunch

MARCH 22, 2021

Users can then transform and visualize this data, orchestrate their data pipelines and trigger automated workflows based on this data (think sending Slack notifications when revenue drops or emailing customers based on your own custom criteria). y42 founder and CEO Hung Dang. Image Credits: y42.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

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. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We For Guadagno, the need to match vaccine availability with patient demand came at the right moment, technologically speaking. Enter the data lakehouse. You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

TechCrunch

JANUARY 10, 2023

The three co-founders originally launched Metaplane as a “customer success” product that analyzed a company’s data to prevent churn. After going through Y Combinator, and with the pandemic hitting, Metaplane pivoted but continued to build data analytics-focused tools. ” Image Credits: Metaplane.

Data 241

Data Software Review Technical Review Systems Review 241

AWS Machine Learning - AI

NOVEMBER 15, 2024

This first use case was chosen because the RFP process relies on reviewing multiple types of information to generate an accurate response based on the most up-to-date information, which can be time-consuming. The second use case applied to Principal employees in charge of responding to customer inquiries using a vast well of SharePoint data.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

FEBRUARY 17, 2025

Regularly reviewing the mapped process allows stakeholders to identify outdated approvals or unnecessary steps that slow progress. 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

CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. The company is embedding AI into each level of the tech stack it sells to customers, he says. “We

Budget 218

Budget Artificial Inteligence Technical Review VR 218

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. What is late-arriving data?

Data Engineering 109

Data Engineering Engineering Data Systems Review 109

CIO

JULY 15, 2022

The forecasting systems DTN had acquired were developed by different companies, on different technology stacks, with different storage, alerting systems, and visualization layers. Working with his new colleagues, he quickly identified rebuilding those five systems around a single forecast engine as a top priority.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

Xebia

JULY 29, 2024

Introduction Data modelers frequently communicate in terms of entities, constraints, and other technical terms. Data modelers need input from the business to understand what data is important and how it should be used. In the 1990s, data modeling was a specialized role.

Technical Review 130

Technical Review Data Systems Review Meeting 130

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 69

Data Engineering Engineering Artificial Inteligence Data 69

Netflix Tech

MAY 9, 2025

This blog post delves into the architectural evolution and technical decisions that underpin our Ads event processing pipeline. This approach future proofed our systems to handle any growth in data that needs to pass from ad serving to event handlingsystems. However, the downstream use-cases were expected to remain largely consistent.

Metrics 71

Metrics Advertising Weak Development Team Systems Review 71

TechCrunch

MAY 18, 2022

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. This helps to monitor label quality and — ideally — to fix problems before they impact training data.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

Honeycomb

APRIL 21, 2025

The thing is, as much as we want it to not be true, no product or tool can magically maximize the value of your telemetry dataat least not without gobs of human input, oversight, and review. The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering).

Strategy 52

Strategy Data Technical Review Software Review 52

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

AWS Machine Learning - AI

APRIL 23, 2025

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. He solves complex organizational and technical challenges using data science and engineering.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

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

AWS Machine Learning - AI

NOVEMBER 20, 2024

Additionally, you can explore the many other data sources that Amazon Q for Business can seamlessly integrate with, empowering you to build robust and insightful applications. About the Authors Monjumi Sarma is a Technical Account Manager at Amazon Web Services. Data Engineer at Amazon Ads. Akchhaya Sharma is a Sr.

Data 111

Data AWS Groups Knowledge Base 111

Honeycomb

APRIL 23, 2025

Business cost drivers vs technical cost drivers The cost drivers we talked about last week, and the cost drivers as Gartner frames them, are very much oriented around the business case. All Gartner data in this piece was pulled from this webinar on cost control ; slides here.) I think its partly due to the flowering of options.

Weak Development Team 110

Weak Development Team Metrics Storage Engineering 110

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