Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

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

Vaithylingam says the College of Southern Nevada will shut down its on-prem data center — one of the largest in Nevada — and plans to fully move all workloads and infrastructure to Microsoft Azure. We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

The Citus Data

MARCH 31, 2023

(on-demand talk, Citus open source user, Django, Python, django-multitenant, pgBackRest) Practical approach to building real-time analytics for cybersecurity applications , by Slava Moudry. (on-demand on-demand talk, security, authentication, backups, PostgreSQL) Postgres Storytelling: Support in the Darkest Hour , by Boriss Mejias of EDB.

Azure 85

Azure Open Source Virtualization Software Engineering 85

Exadel

FEBRUARY 20, 2023

If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

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. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event.

Open Source 52

Open Source Database Administration Survey AWS 52

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. 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

Mobilunity

MAY 8, 2023

Companies may store and handle data in a safe and lawful way with the assistance of data lake consulting services and financial services data lake solutions. For companies that need to store and process massive amounts of data in a flexible and affordable way, Azure Data Lake services may be helpful.

Engineering 52

Engineering Data Storage AWS 52

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

Xebia

JULY 28, 2023

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. For this project, we will use Azure as our Cloud provider. We will call them data-platform-udev and data-platform-uprod.

Cloud 130

Cloud Azure How To Windows 130

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

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. Programming with Data: Advanced Python and Pandas , July 9. Cleaning Data at Scale , July 15.

Course 69

Course Training Artificial Inteligence Software Review 69

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. Programming with Data: Advanced Python and Pandas , July 9. Cleaning Data at Scale , July 15.

Course 51

Course Training Artificial Inteligence Software Review 51

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

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? How does DBFS work?

System 52

System Storage Azure Big Data 52

Altexsoft

JANUARY 14, 2021

What is a data warehouse? A data warehouse is defined as a centralized repository where a company stores all valuable data assets integrated from different channels like databases, flat files, applications, CRM systems, etc. A data warehouse is often abbreviated as DW or DWH. Cloud data warehouse architecture.

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. Amazon Kinesis.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

DECEMBER 15, 2022

You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. Performance and scalability. Enhanced multi-function analytics.

Cloud 76

Cloud Data Analytics Machine Learning 76

OpenCredo

FEBRUARY 6, 2024

At OpenCredo we have been following their development, and since hands-on experience is always best for understanding a technology, we have started to experiment with building an application around an LLM. Retrieval Augmented Generation (RAG) This application lends itself well to Retrieval Augmented Generation (RAG).

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

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. Scalability. ELT process steps.

Tools 52

Tools Software Review Systems Review Testing 52

Cloudera

SEPTEMBER 28, 2021

Each policy change, or introduction of a new user or new group typically requires interaction between CDP administrators and AWS/Azure administrators and potential changes to existing applications. This approach keeps AWS or ADLS credentials from leaking into your application’s code and allows for good credential hygiene.

Groups 61

Groups Cloud AWS Data 61

O'Reilly Media - Ideas

MARCH 1, 2023

The two are closely related, of course; while the concept of design patterns is applicable to any programming paradigm, object-oriented programming (particularly Java, C#, and C++) is where they’ve taken hold. The time when a successful application could run on a single mainframe—or even on a small cluster of servers in a rack—is long gone.

Trends 137

Trends Technical Review Technology Software Review 137

Kentik

MARCH 7, 2023

Have full data context. Instrumenting business, application, and operational context to network telemetry give operators multifaceted views of traffic and behavior. Rich context and real-time datasets allow network engineers to dynamically filter, drill down, and map networks as queries adjust.

Network 99

Network Cloud Data Case Study 99

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. What is Apache Airflow?

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. Scalability.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 8, 2021

On the enterprise level, data integration may cover a wider array of data management tasks including. application integration — the process of enabling individual applications to communicate with one another by exchanging data. As a rule, good data integration products have. high security. Pricing model.

Tools 52

Tools Data Software Review Open Source 52

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. “New is always better.”.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. CRMs, OLAP/OLTP databases, enterprise applications, etc.)

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. 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. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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. They bring data to a single platform giving a cohesive view of the business. Snowflake data management processes. The platform includes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

NOVEMBER 5, 2021

Health information governance and stewardship ensure compliance of data use with regulations, standards, ethical norms, and internal organizational policies. HIM practices are applicable wherever health information exists, from private physician’s offices to large hospital chains. Cloud capabilities and HIPAA compliance out of the box.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

NOVEMBER 10, 2021

Lakehouses are claimed to be able to store data in standardized file formats like Apache Parquet and ORC (Optimized Row Columnar). With a data lakehouse, an array of different tools and engines can access the raw data in an object store directly via the DataFrames application programming interface (API).

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

OCTOBER 26, 2017

Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. The reason frequently cited for the consideration of BI in the cloud is that it provides flexibility and scalability.

Cloud 42

Cloud Data Storage Analytics 42

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 110

Data Engineering Engineering Data Storage 110

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

MAY 18, 2021

Infrastructure cost optimization by enabling container-based scalability for compute resources based on processing load and by leveraging object storage that has lower price point than compute-attached storage. moving HDFS data to S3 using DistCp for basic data backups) for data lifecycle management capabilities.

Cloud 84

Cloud Technical Review Storage Backup 84