CIO

SEPTEMBER 18, 2023

Network Alpha Factory’s job is to facilitate the seamless movement of all kinds of traffic from older, slower networks to newer, high-efficiency networks, he says, adding that the tool is compatible with all legacy Verizon networks and can be used to migrate to edge networks as well.

Telecommunications 278

Telecommunications Network Systems Review Software Review 278

CIO

FEBRUARY 14, 2023

It’s also used to deploy machine learning models, data streaming platforms, and databases. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices. Kubernetes is a key tool to help do away with the siloed mindset.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

CIO

SEPTEMBER 2, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

DECEMBER 13, 2023

This includes delivering a transformation project to modernize LGIM, enable growth, and introduce more scalable and seamless services. He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways.

CTO 88

CTO Scalability Architecture Analytics 88

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that not only requires technical skills, but also leadership and communication skills as well to work across departments and to manage teams of engineers. increase from 2021.

Technical Review 290

Technical Review Software Review Systems Review Software Engineering 290

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

LAN 358

LAN Systems Administration How To WAN 358

Kentik

APRIL 12, 2023

It is an extension of DevOps principles and practices to data management, enabling organizations to manage and automate data pipelines for quality, accuracy, and reliability. The DataOps ecosystem comprises several components, including people, processes, and tools. How is DataOps different from DevOps?

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

TechCrunch

JULY 25, 2022

The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan. From a strategic point of view, what we think makes this startup opportunity even more interesting is that, we do not see HR software as a silo-ed tool used only by the HR department,” Chan said.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

CTOvision

MAY 1, 2014

The senior engineer will also take a lead role in interfacing with customer groups to understand their needs and tailor reports to enable data-driven decisions across key business areas. 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 107

Big Data Data Engineering Engineering Data Center 107

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

Altexsoft

SEPTEMBER 9, 2022

We’ll briefly recap the basics first and then discuss metadata management and tools that can come in handy. Metadata is basically information that describes other data. It helps us understand the origin, structure, nature, and context of data. So, there are specialized tools that automate metadata management.

Tools 59

Tools Technical Review Software Review Systems Review 59

TechCrunch

MARCH 4, 2021

Today, a company that is somewhat doing the opposite — building tools to help Amazon sellers work better on their own — is announcing significant funding to keep growing its business. It says that its tools impact some $8 billion in Amazon revenue with around 500,000 brands and entrepreneurs already using it.

Advertising 253

Advertising eCommerce Retail Tools 253

InnovationM

APRIL 25, 2024

Optimized for AI and ML: S pecialized infrastructure and tooling for optimal performance. Scalability and Cost-Efficiency: Dynamically scale resources and optimize cost effectiveness. Why to use RunPod? Unified GPU and CPU Support: Harness both resources for diverse computational tasks.

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

Cloudera

OCTOBER 13, 2020

Data Warehouse – in addition to a number of performance optimizations, DW has added a number of new features for better scalability, monitoring and reliability to enable self-service access with security and performance . Enrich – Data Engineering (Apache Spark and Apache Hive). New Services.

Cloud 90

Cloud Machine Learning Artificial Inteligence Azure 90

Cloudera

AUGUST 3, 2022

One approach is to use 3rd party tools (such as Privacera ) that integrate with Spark. However, it not only increases costs but requires duplication of policies and yet another external tool to manage. Fine grained access control (FGAC) with Spark. Other approaches also fall short by serving as partial solutions to the problem.

Policies 84

Policies Machine Learning Artificial Inteligence Data Engineering 84

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

TechCrunch

JANUARY 26, 2022

Big data is at the heart of how a lot of applications, and a lot of business overall, works these days. And when it comes to big data troves, the priority for organizations is to have tools to manage them efficiently, and parse and analyse them effectively.

Analytics 218

Analytics Data Big Data Business Intelligence 218

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. Key components of an MLOps cycle.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Cloudera

FEBRUARY 1, 2024

Day 1 — Deployment and Migration: Involves the actual deployment and initial configuration of the platform, including installation, configuration, testing, troubleshooting, and setting up monitoring tools, as well as migrating your data and workloads onto the platform. How does Cloudera support Day 2 operations?

Backup 81

Backup Cloud Architecture Resources 81

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. It includes tools for data lineage, metadata management, and access control.

Engineering 52

Engineering Data Storage AWS 52

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

CIO

JULY 18, 2023

“If we’re looking to build, train, and run models at scale to run in parallel to each of our products, we need talent who can help us unbundle the data by refactoring apps and data, and building a scalable data fabric that is flexible to feed to a generative AI platform,” says Kocherlakota, who is seeking AI experience and generative AI knowledge.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

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

CIO

FEBRUARY 13, 2023

That also requires investing more in cloud infrastructure for storage and compute power resources so data scientists can process data, understand it, and be able to translate it “for benefits at the bedside,’’ Fleischut says. And it’s not just applications development where such tools are having an impact.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

Kentik

JANUARY 3, 2018

How will network monitoring tools evolve to accommodate this ever-changing IoT network landscape? Network analytics has the power to examine details of the IoT communications patterns made through various protocols and correlate these to data paths traversed throughout the network. Return query results against all this data in seconds.

IoT 40

IoT Network Tools Big Data 40

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

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. The sessions were filled with engaging conversations with all the open-source tool developers, meet-up organizers, consultants, entrepreneurs, experts, and renowned speakers.

Open Source 52

Open Source Database Administration Survey AWS 52

Exadel

FEBRUARY 20, 2023

Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. He seeks to quickly discover and learn about available data sets.

Data 97

Data Virtualization Banking Data Engineering 97

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.

Report 86

Report Technical Advisors Cloud Analytics 86