Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. Learn how DataStax enables real-time AI.

Artificial Inteligence 274

Artificial Inteligence Strategy Data Machine Learning 274

CIO

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The time frame window can be in minutes, seconds, or milliseconds, based on the use case.

Artificial Inteligence 328

Artificial Inteligence Artificial Intelligence Machine Learning Agile 328

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% SQL Server also showed a 5.3% That’s just a start.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Cloudera

FEBRUARY 22, 2021

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets.

Data 82

Data Analytics Government Technical Review 82

Cloudera

FEBRUARY 16, 2021

In the following sections, we see how the Cloudera Operational Database is integrated with other services within CDP that provide unified governance and security, data ingest capabilities, and expand compatibility with Cloudera Runtime components to cater to your specific use cases. . Integrated across the Enterprise Data Lifecycle .

Machine Learning 83

Machine Learning Artificial Inteligence Data Engineering Policies 83

InnovationM

OCTOBER 19, 2023

Always Use the Latest Version Laravel becomes more secure and faster with each upgrade. By using the latest Laravel version, you can build more functional and secure websites. For example, Laravel 9.x,

PHP 98

PHP Analysis Games Examples 98

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Data Security Technical Review 124

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 ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Cloudera

DECEMBER 15, 2022

With a common interface in CDP that works across different cloud service providers, you can break down data silos while ensuring consistent security, governance, and traceability, all while seamlessly moving your Apache Iceberg – based workloads across deployment environments frictionlessly. Integrated with Cloudera Data Platform.

Cloud 80

Cloud Data Analytics Machine Learning 80

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. . Towards Data Science ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Apiumhub

SEPTEMBER 20, 2023

In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. This year’s highlights encompass aspects such as enhancing the developer experience, the latest API security patterns, the shift from REST to GraphQL, business models centered around APIs and pertinent open-source resources.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Lacework

NOVEMBER 1, 2023

While these may be true in the general macro sense, for many organizations, their data is more akin to their lifeblood. Their data is precious, absolutely essential for their functioning, and the consequences of data loss or leakage can severely threaten the health of the company. What is privacy?

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 159

Machine Learning Artificial Inteligence Company Case Study 159

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. Areas HIM takes care of.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Kentik

MAY 31, 2023

Reliability has become a catch-all for four related concerns: availability, resiliency, durability, and security. As I mentioned, these responsibilities fall under one of the four closely related reliability verticals: availability, resiliency, durability, and security. I wrote an article a while ago addressing latency.

Network 52

Network Cloud Load Balancer Firewall 52

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

Tenable

JANUARY 11, 2022

Security Respo…. Windows Local Security Authority. Windows Local Security Authority Subsystem Service. Windows Secure Boot. Windows Security Center. Windows Task Flow Data Engine. Windows Tile Data Repository. CVE-2022-21874 | Windows Security Center API Remote Code Execution Vulnerability.

Windows 105

Windows Internet Open Source Storage 105

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. A Robust Security Framework.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

MARCH 22, 2022

The intent of this two-part article series is to articulate the value proposition of Cloudera Data Platform (CDP) as an inorganic growth enabler in different M&A settings such as corporate carve-outs, mergers and acquisitions. data engineering, data warehousing etc.);

Technical Review 80

Technical Review Strategy Data Analytics 80

Exadel

FEBRUARY 20, 2023

In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology. Previous article

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

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, roles, privileges, PostgreSQL) How to copy a Postgres database? ,

Azure 84

Azure Open Source Virtualization Software Engineering 84

Kentik

APRIL 4, 2023

While there is much to be said about cloud costs and performance , I want to focus this article primarily on reliability. More than anything, reliability becomes the principal challenge for network engineers working in and with the cloud. Even the most detailed reliability engineering can be easily undermined in an insecure network.

Network 104

Network Load Balancer Cloud Backup 104

Capgemini

APRIL 20, 2022

This article first appeared on Capgemini’s Data-powered Innovation Review | Wave 3. In today’s data-driven economy, artificial intelligence (AI) and machine learning (ML) are powering digital transformation in every industry around the world. They must also cleanse and master this data. Accelerate engineering.

Artificial Inteligence 98

Artificial Inteligence Data Systems Review Technical Review 98

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. Data Security and Privacy: Data security is paramount in data lakes, as they house valuable and sensitive information.

Data 52

Data Storage Construction Business Intelligence 52

O'Reilly Media - Ideas

MARCH 1, 2022

All datasets have world views ” is an excellent interactive article showing how bias, labeling, and data go hand in hand. Seven years ago, Dan McKinley wrote the classic article Choose Boring Technology : chasing the latest cool framework is a path to exhaustion. Security is an issue for any technology, and web3 is no different.

Trends 92

Trends Blockchain Serverless Malware 92

Kentik

MARCH 7, 2023

Solving these problems for distributed cloud networks has required a big data approach, ultimately resulting in the evolution of network observability. The “big data” approach enables powerful automation features to initiate in-house or third-party workflows for performance and security anomalies.

Network 99

Network Cloud Data Case Study 99

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. Make sure to check out our dedicated article.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. Usually, there’s no dedicated engineering expertise; instead, existing software engineers are engaged in data engineering tasks as side projects.

Analytics 102

Analytics Technical Review Technology Applications 102

Abhishek Tiwari

JULY 7, 2023

They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights. However, as with any technology trend, data pipelines have not been immune to misuse and overuse.

Data 52

Data Transportation Scalability Systems Review 52

Kentik

JULY 24, 2017

Five Reasons the Kentik Detect SaaS is Secure. Data is available for querying in under three seconds from receipt. In fact, depending on the type of organization, we often hear concern from the network operations team about whether the security team will let them export NetFlow to the cloud. SaaS as a Safe Solution.

Cloud 40

Cloud Big Data Data Engineering Internet 40

Xebia

JULY 28, 2023

In this article, we’ll walk through the steps for setting it up for Databricks, using Multiple Databricks Workspaces with one single dbt Cloud project. You can follow the steps on how to set up your deployment pipeline in this article ( CI/CD in dbt Cloud with GitHub Actions: Automating multiple environments deployment ).

Cloud 130

Cloud Azure How To Windows 130

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

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

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

TechCrunch

DECEMBER 10, 2020

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more. It starts with an AI platform to source and vet candidates.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325