Xebia

DECEMBER 23, 2024

The ease of access, while empowering, can lead to usage patterns that inadvertently inflate costsespecially when organizations lack a clear strategy for tracking and managing resource consumption. They provide unparalleled flexibility, allowing organizations to scale resources up or down based on real-time demands.

Data 130

Data Storage Culture Resources 130

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

TechCrunch

AUGUST 16, 2022

While many cloud cost solutions either provide recommendations for high-level optimization or support workflows that tune workloads, Sync goes deeper, Chou and Bramhavar say , with app-specific details and suggestions based on algorithms designed to “order” the appropriate resources.

Resources 175

Resources Cloud Engineering AWS 175

CIO

DECEMBER 12, 2024

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

Data 201

Data Survey Artificial Inteligence Education 201

Xebia

MARCH 2, 2025

We explained how bundles enable users to consolidate components such as notebooks, libraries, and configuration files into a single and simplified command-line interface to validate, deploy, and destroy resources seamlessly through the bundle lifecycle. This would automatically apply PAUSED to all deployed resources.

Resources 130

Resources Testing Metrics Data Engineering 130

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). Flexibility.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

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

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

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Xebia

MARCH 30, 2025

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” Even more perplexing: DuckDB , a lightweight single-node engine, outpaced Databricks on smaller subsets. Choosing between flexibility or performance is a classic data engineering dilemma.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

Xebia

DECEMBER 26, 2024

Its user-friendly, collaborative platform simplifies building data pipelines and machine learning models. Many data practitioners, myself included, have faced various deployment and resource management strategies. How do we configure application-specific resources? Resources are defined in a readable format (YAML files).

Resources 130

Resources Testing Infrastructure Applications 130

Cloudera

DECEMBER 2, 2024

To that end, we’re collaborating with Amazon Web Services (AWS) to deliver a high-performance, energy-efficient, and cost-effective solution by supporting many data services on AWS Graviton. Cloudera Data Engineering is just the start. Give it a try today.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

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 Machine Learning 98

TechCrunch

JUNE 22, 2022

CloudQuery CEO and co-founder Yevgeny Pats helped launch the startup because he needed a tool to give him visibility into his cloud infrastructure resources, and he couldn’t find one on the open market. He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

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 108

Data Engineering Engineering Data Systems Review 108

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

TechCrunch

MARCH 7, 2023

The barrier to success for these projects often resides in the time and resources it takes to get them into development and then into production. With little understanding of the engineering environment, the first logical step should be hiring data scientists to map and plan the challenges that the team may face.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

Cloudera

OCTOBER 19, 2021

Multiple steps comprise the overall pipeline, which are stored as pipeline definition files in the CDE resource of the job. The post Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering appeared first on Cloudera Blog. Each “box” (step) in on the canvas serves as a task in the final Airflow DAG.

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. You’ll find several Google Cloud resources to help level up your skills. Google Cloud Free Program. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

TechCrunch

DECEMBER 9, 2020

An alumni of Silicon Valley accelerator Y Combinator and backed by LocalGlobe , Dataform had set out to help data-rich companies draw insights from the data stored in their data warehouses. Mining data for insights and business intelligence typically requires a team of data engineers and analysts.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

Erik Bernhardsson

DECEMBER 15, 2020

This means you centralize the resource management of the widget maker — you put controls on the inputs, and put a lot of effort into making sure what widget gets made in what order. When a resource isn't the bottleneck any more, you can achieve vastly higher iteration speeds by spreading out resource allocations to many different teams.

Software Engineering 325

Software Engineering Engineering Tools Software 325

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Feast instead reuses existing cloud or on-premises hardware, spinning up new resources when needed.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

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. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

CIO

APRIL 2, 2025

They develop an AI roadmap that is aligned with the companys goals and resources, with the intention of implementing the right use cases at the perfect time, including selecting the right technologies and tools. Model and data analysis. They examine existing data sources and select, train and evaluate suitable AI models and algorithms.

Artificial Inteligence 88

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 88

CIO

FEBRUARY 25, 2025

Both are valuable, and both require intentional resource allocation. What does it mean to be data-forward? Being data-forward is the next level of maturity for a business like ours. Its about taking the data you already have and asking: How can we use this to do business better?

Data 136

Data Innovation Insurance Culture 136

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

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets integration with Azure Synapse Analytics enhances protection by securely storing and dealing with connection strings and credentials, permitting Azure Synapse to enter external data resources without exposing sensitive statistics. If you dont have one, you can set up a free account on the Azure website.

Azure 89

Azure Analytics Storage Machine Learning 89

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Please see online documentation for detailed instructions loading data into Snowflake.

Data Engineering 69

Data Engineering Engineering Data Storage 69

TechCrunch

JULY 11, 2022

Quiltt is wrapping its warm low-code fintech infrastructure blanket around startups and small businesses that want to create financial services for their customers, but don’t have the budget resources for a big engineering team.

Fintech 234

Fintech Infrastructure Off-The-Shelf Budget 234

CIO

FEBRUARY 17, 2025

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. Consider factors like data type, problem scope, resource availability, and interpretability. Value stream mapping isnt just a tool.

Azure 117

Azure Metrics Systems Review Technical Review 117

Xebia

MAY 31, 2022

Most of the online resources suggest to use Azure Data factory (ADF ) in Git mode instead of Live mode as it has some advantages. For example, ability to work on the resources as a team in a collaborative manner or ability to revert changes that introduced bugs. This implies that the Terraform code is stored in the Git repo.

Data Engineering 130

Data Engineering Resources Azure Engineering 130

TechCrunch

JULY 25, 2022

Omni wants to be the human resources platform to rule them all—or at least all HR-related tasks. The software enables HR teams to digitize employee records, automate administrative tasks like employee onboarding and time-off management, and integrate employee data from different systems.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

CIO

JULY 28, 2022

That is backed up by a 2021 survey by industry analysts at Forrester, which showed that, of 2,329 data and analytics decision-makers worldwide, 55% want to hire data scientists. And machine learning engineers are being hired to design and build automated predictive models. More advanced companies get that. Getting creative.

Data 215

Data Machine Learning Artificial Inteligence Fractional CTO 215

TechCrunch

MAY 26, 2022

According to a 2020 O’Reilly survey, more than 60% of companies believe that they have too many data sources and inconsistent data, while over a third said that they have too few resources available to address the data quality issues. Tomas Kratky argues that the solution lies in software.

Data 228

Data Weak Development Team Enterprise Analysis 228

CIO

OCTOBER 9, 2024

Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations. For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

DECEMBER 6, 2023

However, this partnership model cannot keep pace with an always-changing technology landscape in which the skill gaps and lack of resources are increasing. TECH VENDORS AS EXTENDED WORKFORCE Going digital has never been a solo act as rare indeed would be an organisation that is not resource-constrained, even for the largest companies.

Airlines 174

Airlines Innovation Automotive Resources 174