CIO

FEBRUARY 14, 2023

DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion. It’s streaming data that’s collected, processed, and analyzed on a continuous basis. However, a data execution strategy has to evolve for real-time AI to scale with speed.

Artificial Inteligence 273

Artificial Inteligence Strategy Data Machine Learning 273

TIBCO - Connected Intelligence

DECEMBER 7, 2021

However, there is still some confusion regarding the finer details of a data fabric and how it can provide the most benefit to your business. Animal, Vegetable, or Architecture? Breaking Down Data Fabrics. It’s obviously important to understand what a data fabric is, but it is equally critical to know what a data fabric is not.

Architecture 49

Architecture Data Government Agile 49

TIBCO - Connected Intelligence

JUNE 2, 2020

To win the data game, it helps to deal yourself four aces. In my last blog , I shared your first two aces, adaptive data architecture and agile methods. In my final blog of this series, I add two more aces and a wild card to your hand. Your Third Ace: Advanced Data Management Technology.

Technology 49

Technology Artificial Inteligence Database Administration Artificial Intelligence 49

Cloudera

FEBRUARY 15, 2023

His day-to-day consists of development activities like writing and reviewing code, working on features around release timelines, and participating in design meetings for the team supporting the CDP Data Engineering product. Amogh has the unique experience of working on CDP Data Engineering during his internship.

Software Engineering 81

Software Engineering Software Review Engineering Software 81

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 81

Backup Cloud Architecture Resources 81

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

ChatGPT 61

ChatGPT Education Data Comparison 61

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

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 84

Cloud Government Storage Analytics 84

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

Data 108

Data Architecture Analytics Government 108

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. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 88

Enterprise Cloud Data Machine Learning 88

InnovationM

APRIL 25, 2024

This typically involves saving the model weights and architecture in a compatible format, such as a TensorFlow SavedModel or PyTorch state dictionary. The post Deploying LLM on RunPod appeared first on InnovationM Blog. Integration with RunPod: Integrate the serialized model into your RunPod environment.

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

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. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions! Here are a few highlights.

Open Source 52

Open Source Database Administration Survey AWS 52

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. Download the reports to see the detailed scores . and/or its affiliates in the U.S.

Report 87

Report Technical Advisors Cloud Analytics 87

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. Overview of Cloudera Data Warehouse.

Performance 92

Performance Cloud Data Storage 92

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Capgemini

MARCH 16, 2023

The life sciences industry has long been driven by the need to develop and exploit solutions as quickly as possible, leading to it being very much at the forefront of technological innovation. Some examples of technological innovation in life sciences are: Graph technologies in drug discovery.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Your data demands, like your data itself, are outpacing your data engineering methods and teams. You’ll discover that they all have identified data virtualization as a must-have addition to your data integration tooling and a critical enabler to a more modern, distributed data architecture.

Virtualization 69

Virtualization Data How To Data Engineering 69

Mobilunity

MAY 8, 2023

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. Ingestion zone is where data is collected from various sources and ingested into the data lake. Cost Savings.

Engineering 52

Engineering Data Storage AWS 52

Confluent

JULY 11, 2019

To inspire and help developers embrace this fantastic event streaming technology, Stéphane Maarek and I authored a new KSQL course. For a KSQL newbie the practical exercises show you how to process data in Apache Kafka using an interactive SQL interface. using this special coupon for our blog readers.

Training 83

Training Course Exercises IoT 83

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Note 1: This isn't a perfect analogy since steam power wasn't just the precious resource, it was also hard to build small steam engines.).

Software Engineering 304

Software Engineering Engineering Tools Software 304

O'Reilly Media - Ideas

JULY 1, 2019

There's a lot of hype surrounding AI, but are companies actually beginning to use AI technologies? We also found that the level of investment depended on how much experience a company already had with AI technologies, with companies further along the maturity curve planning substantially higher investments. Image by Ben Lorica.

Software Development 62

Software Development Artificial Inteligence Software Machine Learning 62

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

Mobilunity

MAY 20, 2023

In today’s fast-developing digital age, the technology industry has emerged as a key factor in national and international economies. Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Hu's Place - HitachiVantara

JUNE 5, 2019

Our Chief Marketing Officer Jonathan Martin, published a blog to call attention to the fact that the old ways of data management are getting in the way of transforming data into Value. The way to accomplish this is through DataOps, which he defines as data management for the AI era. .” Fatima Hamad, Sr.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. The project launches an interactive visualization for exploring the quality of representations extracted using multiple model architectures.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

TIBCO - Connected Intelligence

OCTOBER 15, 2020

One of the best aspects of working in technology is getting a front-row seat to continuous innovation. That’s part of why I was excited to attend the “What’s New and What’s Next for TIBCO® Data Virtualization ” session at our recent TIBCO NOW event. . Data virtualization works like a ‘Swiss Army knife for data.’

Virtualization 50

Virtualization Data Energy Innovation 50

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. What is Big Data and its sources in healthcare?

Big Data 116

Big Data Healthcare Applications Data 116

TIBCO - Connected Intelligence

DECEMBER 11, 2020

“We have been working with TIBCO for over 18 years, initially focused on enterprise application integration, service-oriented architecture, events, messaging, and other capabilities that optimize our client’s operations. We also regularly publish blogs, hold webinars, and write papers about data-driven opportunities and use cases. .

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Technology. Implementation options for data pipelines.

Data 76

Data Storage Analytics Data Center 76

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 79

Data Engineering Engineering Data Serverless 79

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40

Abhishek Tiwari

JULY 20, 2019

As Steve Jobs wisely said, Don’t Be Trapped by Dogma – Which is Living With the Results of Other People’s Thinking In my view, technology executives and engineering leaders are overly obsessed with the Spotify model. Specialisation could be around products, business process, or technologies. And there lies the problem.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. We deliver on proven technology on-premise or in the cloud, globally.

Data 80

Data Analytics Cloud Technical Review 80