O'Reilly Media - Ideas

JANUARY 25, 2024

Our own theory is that it’s a reaction to GPT models leaking proprietary code and abusing open source licenses; that could cause programmers to be wary of public code repositories. This change is apparently not an error in the data. If you want to run an open source language model on your laptop, try llamafile.)

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Source: Qubole. ELT use cases.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. OLTP vs OLAP: technology comparison. A comparison chart of OLTP and OLAP database features.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

DECEMBER 14, 2022

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

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 annotates images, videos, text documents, audio, and HTML, etc.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

O'Reilly Media - Data

MARCH 22, 2018

At DataScience.com , where I’m a lead data scientist, we feel passionately about the ability of practitioners to use models to ensure safety, non-discrimination, and transparency. model comparison and performance evaluation. Model comparison using Skater between different types of supervised predictive models. interpreter.

Off-The-Shelf 115

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 115

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Use cases: small projects, specific source and target locations not supported by other solutions. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

MARCH 18, 2021

The approach is possible thanks to the modern technologies that allow for storing and processing huge volumes of data in any format. This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. The ELT workflow.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

Cloudera

OCTOBER 14, 2020

Kubernetes default scheduler: A comparison. Cloudera’s CDP platform offers Cloudera Data Engineering experience which is powered by Apache YuniKorn (Incubating). A huge thanks to YuniKorn open source community members who helped to get these features to the latest Apache release. YuniKorn v.s. Application concept.

Policies 112

Policies Resources Systems Review Technical Review 112

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

O'Reilly Media - Ideas

JUNE 19, 2019

First, the machine learning community has conducted groundbreaking research in many areas of interest to companies, and much of this research has been conducted out in the open via preprints and conference presentations. Discussions around machine learning tend to revolve around the work of data scientists and model building experts.

Government 79

Government Artificial Inteligence Machine Learning Testing 79

Altexsoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

APRIL 26, 2022

With Snowflake, multiple data workloads can scale independently from one another, serving well for data warehousing, data lakes , data science, data sharing, and data engineering. BTW, we have an engaging video explaining how data engineering works. Difficult bulk data migration.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 28, 2021

Particularly, it facilitates the work of researchers, data scientists, data engineers , QA engineers , and DevOps specialists. Python is open-source and free of charge for everybody, even when it comes to commercial use. Both of these languages are open-source and extensively used in data science.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. MDM activities include accumulating, cleansing of data, its comparison, consolidation, quality control. Snowflake data management processes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Kentik

JULY 19, 2017

Because “package tracking” in a large network is a big data problem, and traditional network management tools weren’t built for that volume of data. As a point of comparison, Fedex and UPS together ship about 20 million packages per day, with an average delivery time of about one day.

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

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 88

Scalability Technical Review Data Analytics 88

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Quantifiable improvements to Apache open source projects. Flow Management.

Cloud 83

Cloud Technical Review Storage Backup 83

O'Reilly Media - Ideas

JANUARY 25, 2022

We used data from the first nine months (January through September) of 2021. When doing year-over-year comparisons, we used the first nine months of 2020. Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing. Terraform , HashiCorp’s open source tool for automating the configuration of cloud infrastructure, also shows strong (53%) growth. It’s more interesting to look at the story the data tells about the tools.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145