Cloudera

OCTOBER 1, 2022

As countries introduce privacy laws, similar to the European Union’s General Data Protection Regulation (GDPR), the way organizations obtain, store, and use data will be under increasing legal scrutiny. These rules force global businesses to create and navigate a complex data infrastructure and architecture to become compliant.

Government 73

Government Artificial Inteligence Enterprise Strategy 73

CIO

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets.

Generative AI 184

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 184

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. The CIO typically ranks the highest in an IT department, responsible for managing the organization’s IT strategy, resources, operations, and overall goals. increase from 2021.

Technical Review 272

Technical Review Software Review Systems Review Software Engineering 272

CIO

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Director of software engineering. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Director of software engineering. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Capgemini

JANUARY 17, 2023

YOUR 2023 DATA STRATEGY IN FOUR RESOLUTIONS Sabina Shaikh 17 Jan 2023. Facebook Twitter Linkedin As the year winds down, this is a good time to assess personal resolutions you have for the new year and, as a data leader, it’s also an opportunity to take a fresh look at your data and AI strategy.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. Data and AI have since become central to the company’s digital strategy. “We

Artificial Inteligence 357

Artificial Inteligence Azure IoT Analytics 357

CIO

JULY 29, 2022

That focus includes not only the firm’s customer-facing strategies but also its commitment to investing in the development of its employees, a strategy that is paying off, as evidenced by Capital Group’s No. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 198

Groups Security Development Data Engineering 198

CIO

MAY 11, 2023

With a portfolio spanning skill games (RummyCircle), fantasy sports (My11Circle), and casual games (U Games), the company banks firmly on technology to build a highly scalable gaming infrastructure that serves more than 100 million registered users across platforms. What’s your strategy for democratizing and managing data?

Games 167

Games Artificial Inteligence Data Artificial Intelligence 167

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

CIO

JULY 5, 2023

Around the same time of the release, Repsol appointed Juan José Casado Quintero as its new chief digital officer (CDO), another strategic move to digitally transform and accelerate the company’s strategy to become a data-driven company.

Artificial Inteligence 223

Artificial Inteligence Generative AI Energy Strategic Planning 223

Cloudera

DECEMBER 13, 2023

Its strategies cover a broad array of asset classes and styles, including equities, bonds, property and alternatives, as well as multi-asset funds. Implementing a cohesive data vision LGIM’s Global Chief Operating Office is responsible for the company’s technology, data, client servicing and the management of its strategic operating agenda.

CTO 89

CTO Scalability Architecture Analytics 89

TechCrunch

OCTOBER 7, 2021

When we interviewed him last July , Hughes explained that he would refer leads to EveryDeveloper when they needed to sort out their content strategy. If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Hughes was therefore happy to recommend DuVander via our experts survey.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

CIO

FEBRUARY 13, 2023

At the same time, they are defunding technologies that no longer contribute to business strategy or growth. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This should secure our business strategy for the next five years and longer.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Data management components.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Kentik

APRIL 12, 2023

DataOps also involves a range of tools and technologies, including data integration and ETL (extract, transform, load) tools, data quality and governance tools, data catalog and metadata management tools, and data visualization and reporting tools. How is DataOps different from DevOps?

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Perficient

FEBRUARY 28, 2023

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Once data is in the Data Lake, the data can be made available to anyone.

Data 110

Data Analytics Google Cloud Cloud 110

DataRobot

JUNE 1, 2022

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Altexsoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. It’s a future state worth investing in.

Insurance 86

Insurance Compliance Technical Review Banking 86

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Mentormate

JANUARY 11, 2022

Forecasts from industry analysts may be useful for setting your longer-term strategy, but they aren’t quite as helpful for understanding how to get things done in our current reality. That lack of support leaves the citizen report builders and data scientists with no way to act on that data. Where Did All the People Go?

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Adaptability and scalability that come with consultancies being able to scale resources up or down as needed.

Big Data 52

Big Data Analytics Data Analysis 52

Mobilunity

MAY 8, 2023

Еnterprise data lake services can help transform raw data into a structured format that is easier to analyze. Data Security. With enterprise data lake services, you can keep your data secure. Scalability. Analytics Data lake design services can provide tools for data analysts and data scientists.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

APRIL 13, 2021

These steps are absolutely critical to helping you break down barriers across the ML lifecycle, so you can take ML capabilities from research to production in a scalable and repeatable manner. Before ML can become a catalyst for change, it must first be treated as an integral part of your data strategy. Step 4: Iterate quickly.

Machine Learning 98

Machine Learning Artificial Inteligence Enterprise eBook 98

Netflix Tech

JUNE 6, 2022

Our goal is to manage security risks to Netflix via clear, opinionated security guidance, and by providing risk context to Netflix engineering teams to make pragmatic risk decisions at scale. Security Strategy and Roadmap, Threat Model, Deliverable Tracking, Residual Risk Criteria, etc).

Software Review 67

Software Review Software Engineering Scalability Engineering 67

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event.

Open Source 52

Open Source Database Administration Survey AWS 52

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. The variety of data explodes and on-premises options fail to handle it. Scalability opportunities. Scalability.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

FEBRUARY 22, 2022

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 107

Data Analytics Disaster Recovery Travel 107

Agile Engine

APRIL 2, 2024

Introduction Outsourcing has long been a go-to strategy for companies seeking to optimize development costs, tap into specialized know-how, and speed up time-to-market. Companies have the autonomy to select professionals based on their specific goals, strategies, and challenges, with the flexibility to adjust team sizes as projects evolve.

UI/UX 52

UI/UX Development Software Development Quality Assurance 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Kentik

MAY 10, 2023

How a UDR benefits machine learning Machine learning relies on large amounts of data to build models, make predictions, find correlations, and ensure its results’ accuracy. ML is inherently data-driven, so it’s vital to implement the right data management strategy for data analysis to be successful.

Analytics 59

Analytics Network Data Machine Learning 59

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Scalability. Please note!

Tools 52

Tools Software Review Systems Review Testing 52