CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 280

Technical Review Software Review Systems Review Software Engineering 280

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. These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions.

LAN 358

LAN Systems Administration How To WAN 358

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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 189

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

Netflix Tech

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

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. It also involves large amounts of data and near real-time processing.

Artificial Inteligence 358

Artificial Inteligence Azure IoT Analytics 358

Perficient

MARCH 23, 2023

In this article, we will compare Databricks Streaming and Apache Flink to understand the underlying architecture, performance, scalability, latency and fault tolerance characteristics as well as programming model differences between them. Databricks Streaming also supports SQL queries to process streaming data in real-time.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

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. These network, security, and cloud changes allow us to shift resources and spend less on-prem and more in the cloud.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

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. Data warehouses are solving yesterday’s problem, which was, ‘How do I migrate to the cloud and deal with scale?’”

Analytics 218

Analytics Data Big Data Business Intelligence 218

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Report 90

Report Technical Advisors Cloud Analytics 90

Exadel

FEBRUARY 20, 2023

Cloud-based AI services make this possible. In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Major cloud service providers have paved a way for AI in the cloud. More was yet to come for AI in the cloud.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

DECEMBER 13, 2023

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. This includes delivering a transformation project to modernize LGIM, enable growth, and introduce more scalable and seamless services.

CTO 89

CTO Scalability Architecture Analytics 89

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. Let’s get started: 1.

Infrastructure 52

Infrastructure Cloud Data Linux 52

CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption.

Telecommunications 232

Telecommunications Network Systems Review Software Review 232

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

Performance 96

Performance Cloud Data Storage 96

Cloudera

FEBRUARY 1, 2024

In the fast-paced world of cloud-native products, mastering Day 2 operations is crucial for sustaining the performance and stability of Kubernetes-based platforms, such as CDP Private Cloud Data Services. Cloudera on private cloud is designed to manage these and more automatically.

Backup 82

Backup Architecture Cloud Resources 82

TechCrunch

JULY 25, 2022

The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan. He added that this disadvantage of payroll software is that they only provide basic admin functions around payroll calculation, and are not scalable. What downturn?

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

CTOvision

MAY 1, 2014

The senior engineer will have a great deal of freedom in choosing the right tools for the job, and will have strong support in getting it right. Big Data Cloud Computing Business CalTrain Data center information technology Intelligent Control Internet of Things San Francisco San Francisco Financial District'

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 215

Technical Advisors Artificial Inteligence Generative AI How To 215

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

InnovationM

APRIL 25, 2024

Runpod emerges as a beacon of innovation in cloud computing, specifically tailored to empower AI, ML, and general computational tasks. Engineered to harness the power of GPU and CPU resources within Pods, it offers a seamless blend of efficiency and flexibility through serverless computing options.

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

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. Register today.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

Kentik

APRIL 12, 2023

DataOps strategies require a robust data infrastructure, including data warehouses, data lakes, caches, and other data storage and processing systems. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

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

d2iq

JANUARY 18, 2022

Complexity: There are lots of cloud-native and AI/ML tools on the market. Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production. Kubernetes would seem to be an ideal way to address some of the obstacles to getting AI/ML workloads into production.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 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

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. A provider could be used to make HTTP requests, connect to a RDBMS, check file systems (such as S3 object storage), invoke cloud provider services, and much more.

Off-The-Shelf 99

Off-The-Shelf Data Engineering Virtualization Cloud 99

Mentormate

JANUARY 11, 2022

Custom and off-the-shelf microservices cover the complexity of security, scalability, and data isolation and integrate into complex workflows through orchestration. That lack of support leaves the citizen report builders and data scientists with no way to act on that data.

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

Trigent

JANUARY 18, 2023

Trigent Software has gained expertise in custom app development, cloud services, quality engineering, product engineering, and many more services. Trigent is recognized as the Best Company to Work With. Custom software development has grown from strength to strength.

Software Review 52

Software Review Technical Review Systems Review Software 52

Mobilunity

MAY 8, 2023

Here collected data from databases, logs, IoT devices, social media, and other sources. Storage zone is where the raw data is stored in its original format. The storage zone may use a distributed file system such as Hadoop Distributed File System (HDFS) or cloud-based storage. Data Security. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

JUNE 7, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020.

Data 112

Data Architecture Analytics Government 112

Cloudera

FEBRUARY 16, 2021

Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle. You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Engineering.

Machine Learning 83

Machine Learning Artificial Inteligence Data Engineering Policies 83

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89