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?

Product Management 136

Product Management Artificial Inteligence Machine Learning Weak Development Team 136

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. .

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Data Technical Review Storage Systems Review 98

TechCrunch

MARCH 22, 2021

Like similar startups, y42 extends the idea data warehouse, which was traditionally used for analytics, and helps businesses operationalize this data. At the core of the service is a lot of open source and the company, for example, contributes to GitLabs’ Meltano platform for building data pipelines.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

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

Xebia

JANUARY 9, 2024

However, this requires a lot of custom engineering work and is not an easy task. Besides that you need to create a dashboard on top of this artifact data, to get meaningful insights out of it. Luckily, there is an open-source solution for this called Elementary Data.

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Testing Data Open Source Applications 130

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

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 72

Weak Development Team Engineering Analytics Storage 72

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 73

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 73

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

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

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Infrastructure Azure Software Engineering Cloud 8

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 Machine Learning Artificial Inteligence Software Review 52

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

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

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

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.

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Trends Technical Review Technology Artificial Inteligence 108