CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

FEBRUARY 13, 2023

Now, as more faculty, staff, and students are accessing information on-premises and in the cloud, IT has a borderless network and the team is implementing a zero-trust network architecture, says CIO Mugunth Vaithylingam. And it’s not just applications development where such tools are having an impact.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. Andrea Tosato – Software Architect at Open Job Metis Andrea is a green software speaker, Microsoft MVP in Azure, and Developer Technologies, recognized for outstanding contributions.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions! Here are a few highlights.

Open Source 52

Open Source Database Administration Survey AWS 52

Apiumhub

AUGUST 12, 2021

Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Currently working for Hazelcast. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake.

Engineering 52

Engineering Data Storage AWS 52

O'Reilly Media - Ideas

JUNE 4, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Business Applications of Blockchain , July 17. Building Applications with Apache Cassandra , July 19. SQL Fundamentals for Data , August 14-15.

Course 70

Course Training Artificial Inteligence Software Review 70

O'Reilly Media - Ideas

JUNE 5, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Business Applications of Blockchain , July 17. Building Applications with Apache Cassandra , July 19. SQL Fundamentals for Data , August 14-15.

Course 51

Course Training Artificial Inteligence Software Review 51

Cloudera

DECEMBER 21, 2020

In our data adventure we assume the following: . There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. AI and Data technologies in the cloud.

Big Data 88

Big Data Technology Tools Cloud 88

ParkMyCloud

JANUARY 17, 2020

Each of the ‘big three’ cloud providers (AWS, Azure, GCP) offer a number of cloud certification options that individuals can get to validate their cloud knowledge and skill set, while helping them advance in their careers and broaden the scope of their achievements. . Can demonstrate how to build and deploy applications on AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Cloudera

SEPTEMBER 1, 2020

It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.

Data 66

Data Backup Disaster Recovery Storage 66

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. 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. Systems engineering and operations.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Existek

SEPTEMBER 28, 2023

In simple words, AI specialists are professionals involved in developing AI applications and systems. Their work contributes to the development of AI-powered applications and systems that can improve efficiency, make predictions, automate tasks, and enhance decision-making in various domains.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Technical Review 142

Technical Review Microservices Data Engineering Architecture 142

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 121

Trends Technical Review Technology Artificial Inteligence 121

Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. 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. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse?

Backup 115

Backup Azure Software Review Systems Review 115

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

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 79

Storage Cloud Azure Pharmaceuticals 79

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms. Plus, we gave away an awesome LEGO NASA Space Shuttle!

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

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 138

Trends Technical Review Technology Software Review 138

O'Reilly Media - Ideas

MARCH 6, 2019

Blockchain Applications and Smart Contracts , April 2. 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. What You Need to Know About Data Science , April 1.

Course 11

Course Artificial Inteligence Training Microservices 11

Cloudera

MAY 13, 2021

Fixed Reports / Data Engineering jobs . Often mission-critical to the various lines of business (risk analytics, platform support, or data engineering), which hydrate critical data pipelines for downstream consumption. Fixed Reports / Data Engineering Jobs. Data Engineering jobs only.

Data Engineering 68

Data Engineering Cloud Weak Development Team Resources 68

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. Evolutionary schema is supported. What the users are saying in Gartner Peer Insights rating for COD.

System 66

System Cloud Azure AWS 66

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

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. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

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. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

MARCH 31, 2020

That means your website must quickly process lots of transactions involving small amounts of data like order ID and details, user ID, or credit card data. Online transaction processing ( OLTP ) systems, namely databases and applications like a shopping cart, make it possible for an eCommerce business to work non-stop as it should do.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. An overview of data warehouse types. What is data pipeline. Online Analytical Processing Architecture. Data extraction.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Kentik

MARCH 7, 2023

So far in this series , I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. As datasets scale and networks become distributed to free their data, the data gravity story begins to morph into a data complexity story.

Network 99

Network Cloud Data Case Study 99

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 main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g.,

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93