TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake.

Data 253

Data Big Data Analytics Enterprise 253

CTOvision

FEBRUARY 18, 2015

On Tuesday, January 27, 2015 CTOvision publisher and Cognitio Corp co-founder Bob Gourley hosted an event for federal big data professionals. The breakfast event focused on security for big data designs and featured the highly regarded security architect Eddie Garcia. Learn More about Cloudera here.

Big Data 119

Big Data Data Hardware Authentication 119

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. “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

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218

Analytics Data Big Data Business Intelligence 218

Hacker Earth Developers Blog

JUNE 24, 2019

When it comes to understanding computing processes, especially in today’s front end and backend development world, most of the times everything revolves heavily around analyzing the algorithmic architecture in tools, applications, or more complex pieces of software. Which Rendering Languages are Used. Why is this Considered AI?

Industry 174

Industry Architecture Big Data Artificial Inteligence 174

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

AWS Machine Learning - AI

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? We also learned architecture patterns from basic prompt engineering to fine-tuning and RAG.

Generative AI 130

Generative AI Artificial Inteligence Enterprise Data 130

OverOps

APRIL 23, 2019

Amazon Web Services (AWS) was the cloud service being most frequently adopted and quickly adapted to become completely enterprise-enabled. The direction of Enterprise IT changed dramatically during this phase to embrace the public cloud and seek out innovative methods to deliver more value to their partners. Cloud Bursting.

Cloud 189

Cloud Data Center Architecture AWS 189

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

CIO

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And what do enterprises gain from that?

Data 197

Data Artificial Intelligence Artificial Inteligence Architecture 197

Altexsoft

OCTOBER 24, 2019

In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing. We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture.

Telecommunications 85

Telecommunications Architecture Data Government 85

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. The company is also used by data teams from large Fortune 500 enterprises to smaller startups. ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

CIO

MAY 10, 2024

Service-oriented architecture (SOA) Service-oriented architecture (SOA) is an architectural framework used for software development that focuses on applications and systems as independent services. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

CIO

AUGUST 26, 2024

In tandem with this shift, the recent Huawei Cloud Summit Thailand 2024 saw Huawei Cloud and MDES releasing an AI Acceleration plan to accelerate the digital transformation of local enterprises in the country. The data centers currently serve pan-government entities, large enterprises, and some of Thailand’s regional customers.

Cloud 161

Cloud Artificial Inteligence Data Center Construction 161

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CIO

DECEMBER 30, 2024

Governments and enterprises will leverage AI for operational efficiency, economic diversification, and better public services. AI-powered threat detection systems will play a vital role in identifying and mitigating risks in real time, while zero-trust architectures will become the norm to ensure stringent access controls.

Trends 158

Trends Innovation IoT Disaster Recovery 158

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. AI and machine learning in the enterprise. AI and machine learning in the enterprise.

Big Data 84

Big Data Technology Tools Cloud 84

CloudZero

JUNE 7, 2021

Big data empowers enterprises to uncover valuable insights from it and make sound business decisions. However, limited data access acts as a barrier to innovation. Traditional databases with their carefully controlled schemas and lack of agility are proving inadequate in meeting the needs of data-hungry businesses.

Data 98

Data Architecture Big Data Agile 98

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Architecture 90

Architecture Industry Artificial Inteligence Data 90

Cloudera

OCTOBER 5, 2020

As a result, businesses are generating more data than ever. With this deluge of data flooding every enterprise, what should businesses do? At Cloudera, we believe this onslaught of data offers an opportunity to make better business decisions, faster. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 95

Enterprise Cloud Data Artificial Inteligence 95

CIO

MARCH 24, 2023

Whereas data governance is about the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets, DAMA defines data management as “an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.”

Government 214

Government Data Technical Review Policies 214

CIO

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Data engineer vs. data architect.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

TechCrunch

JANUARY 11, 2022

Do an architecture review of the product every 18-24 months. For many companies, data is their greatest asset and at the same time, their largest problem. To minimize tech debt, Raghunathan posits four rules for engineering teams: Don’t let specific implementations continue for over three months. Image Credits: z_wei / Getty Images.

Technical Review 217

Technical Review Culture Software Review Part-Time VPE 217

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. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 215

LAN Systems Administration How To Software Engineering 215

CIO

SEPTEMBER 14, 2023

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

CTOvision

JULY 10, 2015

Hadoop Security: Protecting Your Big Data Platform is packed with the protective strategies, tips and techniques you will want to build into your designs early in your data modernization efforts. Title: Hadoop Security. Security is typically the longest phase of any Hadoop project. Order here. Amazon.com.

Case Study 115

Case Study Big Data Architecture Authentication 115

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Artificial Inteligence 105

Artificial Inteligence Big Data Technical Review Machine Learning 105

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Big Enterprise Data.

Engineering 270

Engineering Wireless 3D Programming 270

Cloudera

SEPTEMBER 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Open Source 114

Open Source Innovation Industry Big Data 114

CIO

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CTOvision

AUGUST 12, 2015

Despite being Big Data’s poster child for the last several years, changes to Hadoop's architecture mean it can now work for small data too. Data volumes aside, Hadoop is becoming defined more by ecosystem tools that are compatible with its file system and less by its own processing and management capabilities.

Big Data 112

Big Data Open Source Architecture Analytics 112

AWS Machine Learning - AI

NOVEMBER 27, 2024

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

Enterprise 91

Enterprise Artificial Inteligence Data Knowledge Base 91