AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 131

Artificial Inteligence Generative AI Security Applications 131

Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. Data warehouses have been broadly adopted to provide timely reports and valuable insights.

Data 98

Data Technical Review Storage Systems Review 98

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

InnovationM

MAY 14, 2023

In this article, I will share practical insights and technologies utilized in building and harnessing the potential of data lakes. Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 86

Data Analytics Cloud Technical Review 86

CIO

OCTOBER 9, 2024

For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes. Such data also has to be placed in environments, be it private or public clouds, that can meet both business requirements and technical needs.

Strategy 356

Strategy Data Artificial Inteligence Storage 356

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata storage usually implies developing a specialized repository. Metadata storage. What is metadata management?

Tools 59

Tools Technical Review Software Review Systems Review 59

TIBCO - Connected Intelligence

MARCH 5, 2020

Data’s relentless growth accelerates – Captured from the Internet, IoT devices, consumers, vendors, data service providers, and more, these sources combine with increasingly low cost storage to double the supply of data every 2.5 Data Is The Wisest Bet for 2020.

Technology 42

Technology Trends Games IoT 42

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. or higher 5.x x versions.

Data 42

Data Load Balancer Machine Learning Artificial Inteligence 42

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. . AWS Certified Cloud Practitioner .

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management. Or so they all claim.

Cloud 111

Cloud Data Compliance Analytics 111

Openxcell

MAY 8, 2023

If you’re still in doubt about how to prevent data leakage, hire a big data engineer. Types of Data Leakage In the World of Data Security, there are many types of data leakage; it is crucial to understand that it can stem from internal or external sources.

Data 52

Data Software Review Technical Review Systems Review 52

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 84

Cloud Data Analytics Machine Learning 84

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud Data Firewall AWS 52

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Azure Data Google Cloud 78

Altexsoft

MARCH 18, 2021

With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g an enterprise data warehouse ) whereas ELT makes it possible to transform data after it got loaded into a target system (cloud data warehouses or data lakes ). It doesn’t provide data lake support.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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. Cloud data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6%

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. When building your data foundation, how can you prioritize innovation within a hybrid cloud strategy? You can read it here. .

Cloud 83

Cloud Data Government Innovation 83

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Deploying modern data architectures.

Architecture 83

Architecture Data Artificial Inteligence Artificial Intelligence 83

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 ).

Data 93

Data Analytics Machine Learning Artificial Inteligence 93

Altexsoft

JUNE 6, 2019

Data collected from the robot is processed in a cloud for planogram compliance. Additionally, a virtual daily view of the store is provided in the cloud services layer of StoreView [the store map service]. Planogram is a diagram that shows how and where products must be placed to get maximum sales.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Altexsoft

MARCH 16, 2021

They are designed to collect various health information and commonly transfer this data to the user’s smartphone and/or a remote/cloud server where it can be retrieved by medical personnel. Check our article on data engineering to get a detailed understanding of the data pipeline and its components.

Big Data 116

Big Data Healthcare Applications Data 116

O'Reilly Media - Ideas

MARCH 31, 2020

You can’t just plug in off-the-shelf cloud APIs that will magically make your product intelligent. You need to understand that many solutions can’t be bought (yet), that AI products require collaboration between teams, that data silos stand in the way of success, and that the best remedy for failure is picking yourself up and trying again. (To

Product Management 138

Product Management Artificial Inteligence Machine Learning Weak Development Team 138

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. Cloud IaaS facilitates resource self-service provisioning, eliminating the hassles of procurement and deployment on-premises. The net result is much improved productivity for data engineers, data scientists, and analysts.

Analytics 40

Analytics Cloud Big Data Artificial Inteligence 40

Altexsoft

MARCH 2, 2023

Data management is a technical implementation of data governance and involves the practical aspects of working with data, such as data storage, retrieval, and analysis. Compliance. Data governance provides a platform for meeting government regulations like GDPR or HIPAA. Improved data management.

Government 52

Government Tools Data Weak Development Team 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

DECEMBER 4, 2020

Data migration projects range from a mundane database upgrade to a global shift of the enterprise system to the cloud. There are three major types of data migration software to choose from. Three types of data migration tools. Besides, this type of software has limited scalability compared to cloud solutions.

Software Review 69

Software Review Software Data Technical Review 69

Cloudera

DECEMBER 7, 2017

Cloud promises many advantages as an environment for machine learning and analytics. Cloud makes it fast and easy to spin up resources for new applications. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. There is a better way.

Data 41

Data Artificial Inteligence Machine Learning Analytics 41

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 5, 2021

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. To avoid errors that may threaten patient safety, AHIMA introduced the data quality management model which covers. Supported data formats.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams.

Virtualization 69

Virtualization Data How To Data Engineering 69