Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. Who does what in a data science team. Machine learning engineer vs. data scientist.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Capgemini

JANUARY 17, 2023

Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture. Most executives (72 percent) say that data, both fragmented and with poor quality, is likely to be the biggest issue when aspiring to achieve AI goals. REASSESS YOUR DATA ARCHITECTURE.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

KitelyTech

FEBRUARY 3, 2021

How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. In this article, we discussed the most popular big data and data science development services that your company can take advantage of. User Data Collection.

Big Data 52

Big Data Data Development Business Intelligence 52

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Modern data architectures.

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Kentik

APRIL 3, 2018

Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. This allows non-technical stakeholders from product, marketing, sales, management, and executives to understand the data and gain insight in terms that are relevant to their roles. The Big Picture.

Network 40

Network WAN LAN Policies 40

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. .

Data 98

Data Technical Review Storage Systems Review 98

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

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Native frameworks.

Big Data 63

Big Data Data Storage Microservices 63

Apiumhub

SEPTEMBER 20, 2023

In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology.

Conference 97

Conference Artificial Inteligence UI/UX Machine Learning 97

Altexsoft

JANUARY 14, 2021

Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. When reviewing BI tools , we described several data warehouse tools. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.

Backup 115

Backup Azure Software Review Systems Review 115

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

Altexsoft

OCTOBER 24, 2019

And this data can be used to support decision making. While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. What is an Enterprise Data Warehouse? And this is what makes a data warehouse different from a Data Lake.

Architecture 50

Architecture Enterprise Data Technical Review 50

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 87

Data Analytics Machine Learning Artificial Inteligence 87

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

JANUARY 22, 2020

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. Data visualization as a part of data representation and analytics.

Analytics 20

Analytics Data IoT Analysis 20

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 97

Strategy Data Technical Review Weak Development Team 97

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

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Supply chain management process. Develop business-specific analytics platform.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. Kafka architecture. Kafka cluster architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

MARCH 16, 2021

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

APRIL 26, 2022

This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. For everyone who is considering Snowflake as a part of their technology stack, this article is a great place to start the journey. Data warehousing in a nutshell. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Agile Engine

APRIL 2, 2024

Typical roles you’ll find on dedicated teams include: Application developers Quality assurance experts and software testers UI/UX designers AI and data engineers Project managers Other specialized experts tailored to your project’s specific needs When are dedicated teams a good idea for your company?

UI/UX 52

UI/UX Development Software Development Quality Assurance 52

Altexsoft

JUNE 6, 2019

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. Having a huge team of customer-facing agents with the ability to interact on the fly is not sustainable or scalable.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data 59

Data Software Review Technical Review Architecture 59

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

DECEMBER 14, 2022

Docker architecture core components. Docker Architecture. Docker uses a client-server architecture where the Docker client communicates with the Docker daemon via a RESTful API, UNIX sockets, or a network interface. Scalability. Containers are highly scalable and can be expanded relatively easily.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Netflix Tech

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 81

Storage Data Resources Data Engineering 81

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Key disciplines and roles in data management.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. Depending on a goal, it may take weeks or months to set up a data lake. Data mart constructing.

Data 64

Data Analytics Construction Cloud 64

Altexsoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration in a nutshell. As a rule, good data integration products have.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

NOVEMBER 5, 2021

Here, HIM is short for health information management, the discipline too broad to be covered in one article. So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. This will eliminate human errors.

Technical Review 59

Technical Review Technology Software Review Healthcare 59