The Citus Data

MARCH 31, 2023

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand Checkpoint and WAL configs , by Samay Sharma on the Postgres open source team at Microsoft.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Apiumhub

NOVEMBER 20, 2023

With 16 years of professional experience in software engineering, including roles as CTO and CEO, he has become a prominent speaker at Green Software events in Germany. His primary responsibility is to integrate sustainability into the engineering roadmap and utilize the company’s portfolio to champion sustainability solutions.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Apiumhub

APRIL 3, 2023

What´s also great about this conference, is that 10% of the profits are donated to supporting open-source projects. Data Innovation Summit For the second year in a row, Apiumhub is supporting this tech event that will take place on May 11th and 12th in Kistamässan, Stockholm. You can submit your project to be considered here.

Conference 52

Conference Virtualization Innovation Network 52

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

JULY 27, 2021

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Edge analytics by definition require in-network deployment.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

O'Reilly Media - Ideas

NOVEMBER 13, 2018

Given the growing interest in data privacy among users and regulators, there is a lot of interest in tools that will enable you to build ML models while protecting data privacy. false positive and false negative rates, precision, recall) are the same across groups defined by the protected attributes.

Machine Learning 93

Machine Learning Artificial Inteligence Software Review Conference 93

Apiumhub

AUGUST 12, 2021

He has spoken at many conferences, user groups, etc., 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. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. Curated data are highly granular points of data, which while useful individually, are difficult to derive a “big picture” view from.

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

DECEMBER 6, 2018

Best practices were passed through internships in a few groups, and a lot of knowledge was shared in the form of “oral tradition.” Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv.

Technology 79

Technology Artificial Inteligence Machine Learning Hardware 79

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 Metrics Network System 40

O'Reilly Media - Ideas

APRIL 19, 2021

Finally, 8% of respondents said that their industry was “Other,” and 14% were grouped into “All Others.” “All The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Weights & Biases was the most popular third-party solution (12%).

Enterprise 144

Enterprise Survey Weak Development Team Education 144

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Cloudera

MAY 22, 2018

Data scientists often develop models using a variety of Python/R open source packages. you can now designate the LDAP and SAML groups for both users and administrators. Cloudera Data Science Workbench 1.4.x The hard part is exposing those models to different stakeholders. With release 1.4 or higher 5.x

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Apiumhub

APRIL 18, 2019

The event is organized by Barcelona JUG (Barcelona Java Users Group), a non-profit organization made up of programmers, engineers and other technology lovers. Speakers come from all corners of the world to share their experience in various technologies and to invite everyone to participate in Open Source Technologies and in the JCP.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

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

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 129

Weak Development Team Data Technical Review Survey 129

Altexsoft

JUNE 11, 2021

Here, KPIs can be created and monitored to uncover potential improvement areas, data mining and/or ML algorithms can be used to detect hidden patterns and dependencies, or conformance checking techniques can be applied to compare the process to a certain ideal model. Process visualization and analytics, source: celonis.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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 119

Trends Technical Review Technology Artificial Inteligence 119

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

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 Systems Review 52

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. How do you select what to work on?

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Cloudera

FEBRUARY 22, 2022

Today, we are announcing a private technical preview (TP) release of Iceberg for CDP Data Services in the public cloud, including Cloudera Data Warehousing ( CDW ) and Cloudera Data Engineering ( CDE ). . Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 105

Data Analytics Disaster Recovery Travel 105

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. OLAP Cube representing data from an OLTP database in multiple dimensions. Building a cube.

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

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 63

Cloud Data Load Balancer Storage 63

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

SEPTEMBER 10, 2021

You need all this data, some fragments of which are locked in silos in separate databases only certain groups of people have access to. This is something known as the “data silo problem,” meaning no team or department has a unified view of data. Learn more on how data engineering works from our video.

Tools 52

Tools Data Software Review Technical Review 52

OpenCredo

MARCH 20, 2020

Naturally, we wish to prevent unauthorised data access; exfiltration attacks can occur when sensitive datasets are maliciously or accidentally transferred outside of your organisation by users who are authorised to access the data. Data Engineering.

Cloud 40

Cloud Data Weak Development Team Compliance 40

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

O'Reilly Media - Ideas

MARCH 1, 2023

For the purposes of this report, units viewed is always normalized to 1, where 1 is assigned to the greatest number of units in any group of topics. It’s the smallest topic category in this group but showed a 24% year-over-year gain. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 137

Trends Technical Review Technology Software Review 137

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 81

Government Artificial Inteligence Machine Learning Testing 81

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

MARCH 18, 2020

One-sixth of respondents identify as data scientists, but executives—i.e., The survey does have a data-laden tilt, however: almost 30% of respondents identify as data scientists, data engineers, AIOps engineers, or as people who manage them. With an abundance of open source tools, libraries, tutorials, etc.,

Enterprise 135

Enterprise Survey Technical Review Weak Development Team 135

Abhishek Tiwari

JULY 20, 2019

Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

SEPTEMBER 28, 2021

I created a basic syntax, used indentation for statement grouping instead of curly braces or begin-end blocks, and developed a small number of powerful data types: a hash table (or dictionary, as we call it), a list, strings, and numbers.” 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