Capgemini

JANUARY 17, 2023

Facebook Twitter Linkedin As the year winds down, this is a good time to assess personal resolutions you have for the new year and, as a data leader, it’s also an opportunity to take a fresh look at your data and AI strategy. Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

O'Reilly Media - Ideas

JUNE 4, 2019

Data science and data tools. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 67

Course Training Artificial Inteligence Software Review 67

O'Reilly Media - Ideas

JUNE 5, 2019

Data science and data tools. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9. Systems engineering and operations. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7.

Course 50

Course Training Artificial Inteligence Software Review 50

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Demonstrate that they are capable of developing, deploying, and debugging cloud-based applications using AWS. Are responsible for designing, managing, and maintaining tools that automate operational processes.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Existek

SEPTEMBER 28, 2023

They have a wide choice of techniques and tools to develop and maintain advanced solutions. Besides, it requires expert knowledge of software engineering, programming, and data science. Therefore, it’s required to obtain good skills in data science.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Cloud Computing on the Edge , June 11. Designing Serverless Architecture with AWS Lambda , June 11-12.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Apiumhub

APRIL 18, 2019

Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Evolving a Pragmatic, Clean Architecture – A Craftsman’s Guide by Victor Rentea. Evolving a Pragmatic, Clean Architecture – A Craftsman’s Guide by Victor Rentea. Responsible Microservices by Nate Schutta.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. In addition, this approach is more tailored for both structured as well unstructured data sets. Classic ETL. Challenges.

Storage 40

Storage Big Data Google Cloud Analysis 40

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

Apiumhub

AUGUST 12, 2021

Twitter: [link] Steef-Jan Wiggers – Technical Integration Architect @HSO Steef-Jan Wiggers works in the Netherlands as a Technical Integration Architect at HSO and is one of InfoQ’s senior cloud editors. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

CIO

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. based Walgreens consolidated its systems of insight into a single data lakehouse.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

O'Reilly Media - Ideas

MARCH 6, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , April 15.

Course 10

Course Artificial Inteligence Training Microservices 10

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

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends 136

Trends Technical Review Technology Software Review 136

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

Altexsoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

CIO

AUGUST 5, 2022

Data visualization tools. Data visualization software encompasses many applications, tools, and scripts. They provide designers with the tools they need to create visual representations of large data sets. It is continuing to build out its open architecture and multicloud capabilities.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Data warehousing in a nutshell. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. Report Format.

Data Engineering 71

Data Engineering Cloud Weak Development Team Resources 71

Altexsoft

APRIL 16, 2021

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. Online Analytical Processing can be defined as a set of tools and approaches to represent data from multiple dimensions. Data extraction.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Daniel Bryant

SEPTEMBER 13, 2019

In relation to this, the HashiCorp Cloud Operating Model was once again on full display, and I believe that this is a very useful tool to help understand and plan the evolution of applications and infrastructure.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Kafka architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Ingesting the data.

Data 19

Data Training Analytics Storage 19

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Automated machine learning or AutoML is the process of reducing manual work in the machine learning pipeline with the help of special software tools. Neural architecture search.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations. The in-person O’Reilly Software Architecture Conference was small but growing. They’ll be very simple.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

UruIT

APRIL 27, 2020

We also invite you to access our Business Executive’s Guide to Smart Applications, an in-depth e-book which includes important concepts and definitions concerning AI, ML, and recommended systems, as well as business cases and reviews, evaluating various tools so you are informed when selecting the right solution for your business needs.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

UruIT

JULY 23, 2019

Having these requirements in mind and based on our own experience developing ML applications, we want to share with you 10 interesting platforms for developing and deploying smart apps: Google Cloud. This tool allows devs to work on a web environment already set up, so the team can collaboratively share experiments.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Capgemini

MARCH 31, 2024

The evolution of microservices architecture lays the foundation for Generative Software Engineering. As the technology evolves, tools mature, and adoption reaches a state of near ubiquity, we expect many organizations will struggle to cross the chasm between experimentation and maturity at scale.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52