O'Reilly Media - Ideas

JANUARY 14, 2025

The cloud has reached saturation, at least as a skill our users are studying. We dont see a surge in repatriation, though there is a constant ebb and flow of data and applications to and from cloud providers. Specifically, theyre focused on being better communicators and leading engineering teams. Finally, ETL grew 102%.

Trends 132

Trends Technology Security Artificial Inteligence 132

CIO

JANUARY 3, 2025

Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems.

Organization 158

Organization Artificial Intelligence Artificial Inteligence DevOps 158

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

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 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

DECEMBER 10, 2024

Choreographing data, AI, and enterprise workflows While vertical AI solves for the accuracy, speed, and cost-related challenges associated with large-scale GenAI implementation, it still does not solve for building an end-to-end workflow on its own. These models are then integrated into workflows along with human-in-the-loop guardrails.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

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. A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

DECEMBER 2, 2024

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Meanwhile, GreenOps focuses on reducing the environmental impact of cloud operations.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 102

Architecture Innovation Data Open Source 102

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. They are free to choose the infrastructure best suited for each workload.

Data 84

Data Analytics Systems Review Architecture 84

Perficient

MARCH 13, 2025

In this case, Liquid Clustering addresses the data management and query optimization aspects of cost control soi simply and elegantly that I’m happy to take my hands off the controls. This made intuitive sense to me as an early Spark developer, and I had deep knowledge of both architectures.

Data Engineering 64

Data Engineering Government Engineering Data 64

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

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

Perficient

FEBRUARY 13, 2025

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. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Artificial Inteligence Machine Learning 64

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

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. These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions.

LAN 215

LAN Systems Administration How To Software Engineering 215

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. Data warehouses are solving yesterday’s problem, which was, ‘How do I migrate to the cloud and deal with scale?’”

Analytics 218

Analytics Data Big Data Business Intelligence 218

CTOvision

MAY 1, 2014

A strong emphasis on data validation, testing, getting it right and knowing it stays right. Work collaboratively to deliver data in visually impactful ways. Take ownership of key components of the architecture powering Applied Intelligence analytics. Backend system automation. Qualifications.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Xebia

MARCH 13, 2025

This is a common issue, especially when working in cloud environments. Features are computed in a feature engineering pipeline that writes features to the data store. Please have a look at this blog post on machine learning serving architectures if you do not know the difference. This drives computation costs.

Training 130

Training Artificial Inteligence Machine Learning Data 130

CIO

APRIL 27, 2023

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. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

CIO

OCTOBER 20, 2023

It’s a vendor-specific certification that will benefit anyone who is tasked with working directly with AWS products and services or looking to make good on the high demand for cloud skills today. To earn your CompTIA A+ certification you’ll have to pass two separate exams.

SCRUM 206

SCRUM Azure AWS Agile 206

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

AWS Machine Learning - AI

NOVEMBER 15, 2024

Some users lacked access to corporate data, but they used the platform as a generative AI chatbot to securely attach internal-use documentation (also called initial generic entitlement) and query it in real time or to ask questions of the model’s foundational knowledge without risk of data leaving the tenant.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization.

Telecommunications 97

Telecommunications Cloud Data Virtualization 97

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Architecture 82

Architecture MVC Engineering Organization 82

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy. Reducing complexity here is critical.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Towards Data Science ). Deploying modern data architectures. Forrester ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. “By with Spark 3.0

Enterprise 93

Enterprise Cloud Data Artificial Inteligence 93

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 Each data model has its own advantages and storing intermediate step results has significant architectural advantages.

Data Engineering 69

Data Engineering Engineering Data Storage 69

CIO

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft.

Data 190

Data Azure Engineering Analytics 190

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure). RAZ for S3 gives them that capability.

Storage 83

Storage Cloud Azure Pharmaceuticals 83

CIO

JUNE 19, 2024

They may also ensure consistency in terms of processes, architecture, security, and technical governance. Our platform engineering teams, which support more than 200 applications, have innovated around automation,” says Bob Simms, former director of enterprise infrastructure delivery at the US Patent and Trademark Office (USPTO).

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

TechCrunch

SEPTEMBER 29, 2022

Moreover, 75% percent of data teams feel that outdated migration and maintenance processes are costing them productivity and capital. “We are on a mission to radically improve the analytics landscape by making enterprise-scale data transformations as efficient and flexible as possible.”

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Now users can write their own scripts and run them over the data,” he explains. .

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

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. Cloud spend remained on top for the second year in a row, with public cloud spend exceeding budgets by an average of 15%.

Report 83

Report Cloud Architecture Survey 83

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP. Overview of Cloudera Data Warehouse.

Performance 96

Performance Cloud Data Storage 96

AWS Machine Learning - AI

NOVEMBER 20, 2024

This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface. The following diagram illustrates the solution architecture. Under Connectivity , for Virtual private cloud (VPC) , choose the VPC that you created.

Data 109

Data AWS Groups Knowledge Base 109