CIO

MARCH 20, 2025

The products that Klein particularly emphasized at this roundtable were SAP Business Data Cloud and Joule. Business Data Cloud, released in February , is designed to integrate and manage SAP data and external data not stored in SAP to enhance AI and advanced analytics.

Data 161

Data Artificial Inteligence Data Center Cloud 161

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Similar to cloud-native startups, many startups today are ML native and offer differentiated products to their customers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

DECEMBER 20, 2024

It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Not all data architectures leverage cloud storage, but many modern data architectures use public, private, or hybrid clouds to provide agility. Cloud computing. Application programming interfaces.

Architecture 182

Architecture Data Fractional CTO Technical Review 182

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

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 172

Artificial Inteligence Engineering Data Storage 172

CIO

APRIL 23, 2025

It addresses fundamental challenges in data quality, versioning and integration, facilitating the development and deployment of high-performance GenAI models. data lake for exploration, data warehouse for BI, separate ML platforms).

Insurance 163

Insurance Artificial Inteligence Data Architecture 163

Xebia

OCTOBER 18, 2024

Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation. This makes dbt a natural choice for the Ducklake setup. What’s Next?

Open Source 162

Open Source AWS Government Technical Review 162

CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

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

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. The same key tenants powering DE in the public clouds are now available in the data center.

Data Engineering 113

Data Engineering Engineering Data Storage 113

CIO

NOVEMBER 27, 2024

The team should be structured similarly to traditional IT or data engineering teams. The Verta Model Catalog, Model Operations, and GenAI Workbench have helped customers ranging from AI startups to Fortune 100 enterprises seamlessly manage, run, and govern AI-ML models on-prem and in the cloud.

Architecture 192

Architecture Artificial Inteligence Data Development Team Review 192

CIO

FEBRUARY 19, 2025

Plus, according to a recent survey of 2,500 senior leaders of global enterprises conducted by Google Cloud and National Research Group, 34% say theyre already seeing ROI for individual productivity gen AI use cases, and 33% expect to see ROI within the next year. We see about 60% of our developers using it on a day-to-day basis, he says.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

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

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. An increasingly complex technology landscape makes it more difficult to resolve issues.

Organization 158

Organization Artificial Intelligence Artificial Inteligence DevOps 158

The Crazy Programmer

NOVEMBER 6, 2021

Because the salary for a data scientist can be over Rs5,50,000 to Rs17,50,000 per annum. Cloud Architect. A cloud architect is an IT professional who is responsible for implementing cloud computing strategies. A cloud architect has a profound understanding of storage, servers, analytics, and many more.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

TechCrunch

AUGUST 16, 2022

After a pandemic-driven cloud adoption boom in the enterprise, costs are finally coming under a microscope. M ore than a third of businesses report having cloud budget overruns of up to 40%, according to a recent poll by observability software vendor Pepperdata.

Resources 175

Resources Cloud Engineering AWS 175

Xebia

FEBRUARY 28, 2025

The development- and operations world differ in various aspects: Development ML teams are focused on innovation and speed Dev ML teams have roles like Data Scientists, Data Engineers, Business owners. So do they to major Cloud Providers. Dev ML teams work agile and experiment rapidly using PoC’s.

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

Marketing 151

Marketing Software Development Software Development 151

CIO

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Artificial Inteligence 172

Artificial Inteligence Analysis Data Cloud 172

Xebia

NOVEMBER 21, 2024

This prevents running the hooks in dbt Cloud (as dbt Cloud can only run dbt commands) and makes development of new hooks a difficult task for those not already familiar with pre-commit’s inner workings. dbt-bouncer and dbt Cloud dbt-bouncer is a python package and, as such, cannot be run from the dbt Cloud IDE.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Xebia

NOVEMBER 11, 2022

This blog explores the various sessions throughout those 3 days but specifically focuses on the Cloud Data Platform workshop on Friday the 28th. . GoDataFest features a multitude of sessions focused on various data technologies and platforms. What is the Google Cloud Data Platform Workshop? What is GoDataFest?

Google Cloud 130

Google Cloud Cloud Data Data Engineering 130

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Brands across industries are using cloud-native location data with other downstream cloud services.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

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

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 198

Data Data Engineering Database Administration Artificial Inteligence 198

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.

Artificial Inteligence 172

Artificial Inteligence Off-The-Shelf Insurance Analytics 172

TechCrunch

DECEMBER 9, 2020

that was building what it dubbed an “operating system” for data warehouses, has been quietly acquired by Google’s Google Cloud division. Mining data for insights and business intelligence typically requires a team of data engineers and analysts. Dataform, a startup in the U.K.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. The post Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering appeared first on Cloudera Blog.

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

CIO

DECEMBER 4, 2024

The new team needs data engineers and scientists, and will look outside the company to hire them. “Now we’re telling them to roll up their sleeves and try all the new gen AI offerings out there.” These tools help people gain theoretical knowledge,” says Raj Biswas, global VP of industry solutions.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

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

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

JUNE 25, 2024

Dutch companies have made substantial progress but are still lagging when it comes to using the cloud at the platform level. Join Ragnar van der Valk, cloud & digital partner at PwC, following the EMEA Cloud Business Survey 2023, as he discusses how large companies can keep up with newcomers in cloud adoption…and learn from the East.

Cloud 113

Cloud Company System Agile 113

CIO

AUGUST 3, 2022

The target architecture of the data economy is platform-based , cloud-enabled, uses APIs to connect to an external ecosystem, and breaks down monolithic applications into microservices. The cloud. The cloud is about more than managing costs. The cloud is an enabler for all that will come.

Leadership 218

Leadership SDLC IoT Machine Learning 218

TechCrunch

APRIL 12, 2022

That’s when Union’s team saw an opportunity to layer paid services on top of the project in the cloud. “A managed version of Flyte, called Union Cloud, will allow smaller teams and organizations to use the power of Flyte without the need to staff up on infrastructure teams,” Umare continued. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models.

Data Engineering 80

Data Engineering Engineering Machine Learning Artificial Inteligence 80

CIO

JUNE 11, 2024

Earlier this year, the company had added the AWS Certified Data Engineer – Associate certification. In October 2023 the company released a new virtual program, Cloud Institute, in an effort to reduce the scarcity of cloud developers trained on its platform. AWS has been adding new certifications to its offering.

Artificial Inteligence 172

Artificial Inteligence AWS Artificial Intelligence Machine Learning 172

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. Add in the downward pressure on budgets as cloud costs are perceived as being too high. These topics are even in the certification exams.

Data Engineering 64

Data Engineering Government Engineering Data 64