Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Government 73

Government Artificial Inteligence Enterprise Strategy 73

CIO

SEPTEMBER 18, 2023

For consumers and enterprises alike, 5G offers the tantalizing promise of faster speeds, lower latency, and greater possibilities for unlocking the power of edge computing — but only if your devices can connect.

Telecommunications 221

Telecommunications Network Systems Review Software Review 221

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

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. Our EXL Health team is no exception.

Generative AI 184

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 184

CIO

JUNE 14, 2023

Before you can even think about analyzing exabytes worth of data, ensure you have the infrastructure to store more than 1000 petabytes! This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability.

Data 157

Data Scalability Storage Big Data 157

TechCrunch

NOVEMBER 4, 2022

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Here’s where MLOps is accelerating enterprise AI adoption. More posts by this contributor.

Data 218

Data Storage Analytics Data Engineering 218

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 362

Budget Artificial Inteligence Technical Review VR 362

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 256

Artificial Inteligence Strategy Data Machine Learning 256

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. This role is vital for improving and maintaining IT and cloud infrastructure, ultimately boosting productivity in the business.

LAN 358

LAN Systems Administration How To WAN 358

TechCrunch

JANUARY 26, 2022

The opportunity that Firebolt is targeting is a ripe one in the world of enterprise. Big data is at the heart of how a lot of applications, and a lot of business overall, works these days. Firebolt cites analysts that estimate the global cloud analytics market will be worth some $65 billion by 2025.

Analytics 218

Analytics Data Big Data Business Intelligence 218

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. Data engineer. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

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. Data engineer. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 82

Data Scalability Analytics Quality Assurance 82

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Cloud 94

Cloud Machine Learning Artificial Inteligence Azure 94

Altexsoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? What is the main difference between a data architect and a data engineer? Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

JULY 15, 2022

Working with his new colleagues, he quickly identified rebuilding those five systems around a single forecast engine as a top priority. Enterprises often make strategic errors when combining IT systems following an acquisition, Ewe says. “They had one thing in common,” jokes Ewe: “They all were trying to predict the weather!”.

Systems Review 259

Systems Review Fractional CTO System Development Team Review 259

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms. Plus, we gave away an awesome LEGO NASA Space Shuttle!

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Backup 82

Backup Architecture Cloud Resources 82

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

d2iq

JANUARY 18, 2022

D2iQ is an AWS Containers Competency Partner , and D2iQ Kaptain is an enterprise Kubeflow product that enables organizations to develop and deploy machine learning workloads at scale. Complexity: There are lots of cloud-native and AI/ML tools on the market.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

TechCrunch

SEPTEMBER 29, 2022

The edtech veteran is right: the next-generation of edtech is still looking for ways to balance motivation and behavior change, offered at an accessible price point in a scalable format. Instead, CoRise is selling to enterprises in need of more tailored solutions for their talent. “We Enter CoRise , which wants to do it all.

Course 180

Course Technical Review Machine Learning Artificial Inteligence 180

Trigent

AUGUST 26, 2022

The company holds decades of technical experience, immense knowledge of different domains, and technology expertise to deliver transformation solutions for small, medium, and large-level enterprises. Salesforce is one of the most customizable and scalable CRMs available on the market today.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Mentormate

JANUARY 11, 2022

With hundreds of active clients and projects each year, MentorMate is in an excellent position to share our perspective on what’s happening across different industries, technology stacks, and business environments from startup to enterprise. Most organizations show a strong bias towards either “buy” or “build.”

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

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

DataRobot

MARCH 16, 2023

To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. Agility and enterprise security, compliance, and governance are often at odds. They work with partners in IT to harden ML use cases into production systems.

Data 52

Data Machine Learning Artificial Inteligence Agile 52

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. We’ve also discovered, through interviews with engineers, that self-service guidance doesn’t stand on its own.

Software Review 67

Software Review Software Engineering Scalability Engineering 67

CTOvision

AUGUST 1, 2015

Editor's note: The highly respected venture capital firms Blu Venture, Sequoia, and Conversion Capital have announced their support and funding of Immuta, a next-gen enterprise data management startup. We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Richard Stroupe, Jr.

Big Data 114

Big Data System Data Software Engineering 114

d2iq

FEBRUARY 19, 2021

Except in many enterprises. There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model. AI is everywhere.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

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

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing.

Architecture 50

Architecture Enterprise Data Technical Review 50

Kentik

MARCH 7, 2023

So far in this series , I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. This means moving more data more frequently, carrying out more complex transformations, and managing this data across more complex pathways.

Network 99

Network Cloud Data Case Study 99

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. As a result, many enterprise IT leaders find themselves in bidding wars they’re unable to win. “The

Technical Advisors 208

Technical Advisors Artificial Inteligence Generative AI How To 208

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Lower software licensing and support cost.

Data 100

Data Storage Architecture Big Data 100

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Kentik

MAY 31, 2023

Reliability is a massive burden for network operators While DevOps teams and their SREs focus on the reliability of the application environment, an enterprise’s network concerns often extend well beyond the uptime of a suite of customer-facing web and mobile apps.

Network 52

Network Cloud Load Balancer Firewall 52