Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. To learn more about CDP & the Smart Data Transition Toolkit: .

Data 82

Data Analytics Cloud Technical Review 82

Cloudera

DECEMBER 10, 2020

CDW is built on top of CDP and has many cutting edge features to provide an excellent data warehousing user experience. For an overview of CDW’s architecture, see DW Built for the cloud. CDW architecture is elastic and simplifies capacity planning. Which technical capabilities make CDW cost-efficient?

Data 98

Data Technical Review Storage Systems Review 98

Kentik

APRIL 3, 2018

Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. The kprobe agent produces flow data enriched with performance metrics and layer 7 details which are stored in the Kentik Data Engine.

Network 40

Network WAN LAN Policies 40

Kentik

JANUARY 3, 2018

And software-based network management tools silo flow data, imposing severe constraints on analytics methods that require network data correlation across many network locations. This leads us to a big data approach to capture and report on this unstructured IoT data. Kentik’s Scalable and Flexible IoT Analytics.

IoT 40

IoT Network Tools Big Data 40

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

Kentik

APRIL 25, 2016

With Dremel, Google pointed the way toward an architecture that enables a database to execute exceedingly fast ad-hoc queries over large datasets using an ANSI SQL query language. And if you find these kinds of discussions fascinating, bear in mind that we’re hiring.

Data Engineering 40

Data Engineering Engineering Data Sport 40

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

DECEMBER 20, 2023

Founding AI ecosystem partners | NVIDIA, AWS, Pinecone NVIDIA | Specialized Hardware Highlights: Currently, NVIDIA GPUs are already available in Cloudera Data Platform (CDP), allowing Cloudera customers to get eight times the performance on data engineering workloads at less than 50 percent incremental cost relative to modern CPU-only alternatives.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 85

Cloud Analytics AWS Engineering 85

Cloudera

NOVEMBER 28, 2017

However, different departments or user groups may have access to different subsets of data, making it difficult to join and analyze data between them and limiting collaboration between different teams (such as for workflows requiring data engineers, data scientists, and SQL users).

Analytics 40

Analytics Cloud Data Data Engineering 40

Kentik

JULY 24, 2017

And we retain network data unsummarized for 90 days (longer by arrangement). Enabled by a scale-out big data architecture that’s purpose-built for network operations, these capabilities are critical for effective visibility. And we retain network data unsummarized for 90 days (longer by arrangement).

Cloud 40

Cloud Big Data Data Engineering Internet 40

John Snow Labs

MAY 24, 2023

The two important functions of this tool are: – Performing different types of labeling with various data formats. LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. – It offers documentation and live demos for ease of use.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Altexsoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. As such, you can bridge the differences between data models of source systems and destinations by matching data fields and defining data transfer frequency.

Tools 52

Tools Data Software Review Open Source 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

MARCH 2, 2023

Its goal is to define and control all data governance initiatives. The highest effectiveness of the Data Governance Committee is achieved when subject matter experts (e.g., data engineers , data security managers) are combined with system managers (e.g., Cloud Data Governance and Catalog dashboard from the demo.

Government 52

Government Tools Data Weak Development Team 52

Kentik

JUNE 26, 2017

Storybook Endings Require Architecture That Can’t Be Blown Down. Today we’ll use that classic fable to talk about three ways that folks have tried to collect and analyze flow data — with varying degrees of success…. But the single server architecture was weak. Single Server Straw House. And you needn’t take just our word for it.

Big Data 40

Big Data Architecture Analytics Storage 40

Kentik

MAY 31, 2017

Either way, it turned out, APIs were mostly architectural afterthoughts and users ended up with a collection of disparate, narrow tools that couldn’t — even with hefty consulting fees — be integrated into a seamless, efficient whole. On the other side were “best of breed” tools, sold by smaller vendors that specialized in one particular area.

Network 40

Network Tools Big Data Metrics 40

O'Reilly Media - Ideas

MARCH 2, 2020

It’s reasonable to have something to demo in two weeks (or whatever interval you choose). This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Key survey results: The C-suite is engaged with data quality.

Agile 21

Agile Artificial Inteligence Weak Development Team SCRUM 21

Kentik

DECEMBER 15, 2016

By creating a distributed big data backend that’s purpose-built for the scale and speed of today’s network traffic. Called Kentik Data Engine (KDE), this datastore enables us to capture in real time — and keep for months without summarization — all of the details of network traffic data (flow records, BGP, GeoIP, etc.).

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

SEPTEMBER 20, 2019

Each of the products mentioned offers a demo access or trial period to their tool, as well as scalable products for businesses of different sizes. If you are about to try out data visualization and it’s your inception in BI, we recommend you to start with free tools. Architecture of your database/data warehouse.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.”

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas.

Trends 52

Trends Azure Conference Media 52

Capgemini

MARCH 31, 2024

The evolution of microservices architecture lays the foundation for Generative Software Engineering. Just as object-oriented languages and cloud architectures opened new horizons for software development, Generative AI will pave the way for a future where software not only serves but anticipates and evolves with human needs.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52