O'Reilly Media - Ideas

MARCH 31, 2020

The prospect of taking on a costly data infrastructure project is daunting. If your company is starting out on this path, it’s important to recognize that there are now widely available open source tools and commercial platforms that can power this foundation for you. AI doesn’t fit that model. How do you select what to work on?

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Product Management Artificial Inteligence Machine Learning Weak Development Team 145

Kentik

MAY 23, 2017

The skills and resources required for open source don’t match core ISP priorities. With the advent of open source big data engines, the power of big data network analytics has seemed tantalizingly close. And that keeps generic open source tools from being a fully viable path.

Network 40

Network Open Source Big Data Load Balancer 40

Cloudera

DECEMBER 20, 2023

We see AI applications like chatbots being built on top of closed-source or open source foundational models. Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

Altexsoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. On-premise data integration tools. As the name suggests, these tools aim at integrating data from different on-premise source systems. Open-source data integration tools. Suitable for.

Tools 52

Tools Data Software Review Open Source 52

Cloudera

JULY 13, 2023

However, other query engines such as Hive and Spark can also benefit from this Iceberg improvement as well. Repeated metadata reads problem in Impala + Iceberg Apache Impala is an open source, distributed, massively parallel SQL query engine. It includes a live demo recording of Iceberg capabilities.

Weak Development Team 70

Weak Development Team Engineering Analytics Storage 70

Altexsoft

SEPTEMBER 10, 2021

For example, there isn’t much data you operate with: You maintain your reporting in Excel spreadsheets, store some data in a CRM, and also use a BI tool. In such a case, you can delegate integration work to a data engineer who will manually upload data into, say, a CSV file and move it to a BI system.

Tools 52

Tools Data Software Review Technical Review 52

Kentik

OCTOBER 2, 2017

That’s why network operations has for years involved deployment of a mix of different commercial, open-source, and home-grown tools. Another API-based option that we’ve developed for our customers is Kentik Connect Pro, a plug-in that we worked with Grafana to develop for their popular open-source data graphing software.

Open Source 40

Open Source Network Metrics System 40

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. She started her own startup (Cubicus) in 2013. Twitter: [link] Linkedin: [link].

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Kentik

MAY 31, 2017

Kentik’s founders, who ran large network operations at Akamai, Netflix, YouTube, and Cloudflare, well understand the challenges faced by teams working with siloed legacy tools and fragmented data sets. The time has come for them to put away their point solutions, spreadsheets, and open source tools.

Network 40

Network Tools Big Data Engineering 40

Kentik

JULY 19, 2017

Of course just opening one’s mind to the dream isn’t the same as having the solution. You could try to construct it yourself, for example by building it with open source tools. Learn more by digging into our product , seeing what our customers think, or reading a white paper on the Kentik Data Engine.

Big Data 40

Big Data Network Data Systems Review 40

Kentik

APRIL 11, 2016

Developed as a model for “processing and generating large data sets,” MapReduce was built around the core idea of using a map function to process a key/value pair into a set of intermediate key/value pairs, and then a reduce function to merge all intermediate values associated with a given intermediate key.

Big Data 40

Big Data Analytics Network Architecture 40

John Snow Labs

MAY 24, 2023

Label Studio Label Studio is an open source data annotation tool for labeling multiple types of data. The two important functions of this tool are: – Performing different types of labeling with various data formats. – It offers documentation and live demos for ease of use.

Tools 52

Tools Artificial Inteligence Machine Learning Software Review 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

SEPTEMBER 20, 2019

As the article is big enough, we suggest you to navigate using this outline, if needed: What is data visualization: how it works, types of data to visualize, visualization formats. Tools for data visualization: paid, free, and open-source instruments. Data visualization pitfalls: issues and challenges to consider.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

O'Reilly Media - Ideas

JANUARY 25, 2022

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.” It’s worth looking at alternatives to Oracle though.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

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. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). Watch this video to get an overview of CDW. .

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

NOVEMBER 21, 2024

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. A New Level of Productivity with Remote Access The new Cloudera Data Engineering 1.23 Why Cloudera Data Engineering?

Data Engineering 85

Data Engineering Engineering Data Enterprise 85

AWS Machine Learning - AI

MARCH 31, 2025

In this post, we explore how CrewAIs open source agentic framework , combined with Amazon Bedrock , enables the creation of sophisticated multi-agent systems that can transform how businesses operate. A US Army veteran, Tony brings a diverse background in healthcare, data engineering, and AI. billion in 2024 to $47.1

Systems Review 136

Systems Review System Artificial Inteligence AWS 136