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. The top factors leading to respondents choosing proprietary databases included greater stability (68%), more security (63%), and regulatory compliance (61%).

Open Source 52

Open Source Database Administration Survey AWS 52

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

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. . Microsoft Azure Certifications. Azure Fundamentals.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. Data Platforms. Data Integration and Data Pipelines. Deep Learning.

Big Data 85

Big Data Technology Tools Cloud 85

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.

Big Data 92

Big Data Azure Google Cloud Data 92

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

O'Reilly Media - Ideas

JANUARY 25, 2024

Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Data engineering deals with the problem of storing data at scale and delivering that data to applications. Interest in data warehouses saw an 18% drop from 2022 to 2023.

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

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. This enables a range of data stewardship and regulatory compliance use cases.

Cloud 76

Cloud Data Analytics Machine Learning 76

Altexsoft

JANUARY 14, 2021

What specialists and their expertise level are required to handle a data warehouse? However, all of the warehouse products available require some technical expertise to run, including data engineering and, in some cases, DevOps. Data loading. The files can be loaded from cloud storage like Microsoft Azure or Amazon S3.

Backup 115

Backup Azure Software Review Systems Review 115

O'Reilly Media - Ideas

MARCH 1, 2023

Governance (year-over-year increase of 72%) is a very broad topic that includes virtually every aspect of compliance and risk management. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. That growth is easy to understand.

Trends 133

Trends Technical Review Technology Software Review 133

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

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. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

John Snow Labs

MAY 24, 2023

The two important functions of this tool are: – Performing different types of labeling with various data formats. LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. It annotates images, videos, text documents, audio, and HTML, etc.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 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. Cloud capabilities and HIPAA compliance out of the box. What is health information management: brief introduction the HIM landscape.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

NOVEMBER 10, 2021

Schema enforcement allows users to control data integrity and quality by declining any writes that don’t fit the table’s schema. Schema evolution enables changes of the table’s current schema in compliance with dynamic data. Of course, there may be other motivations behind moving to a data lakehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

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

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Even on Azure, Linux dominates.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

DataRobot

FEBRUARY 2, 2022

DataRobot enables entire teams — from data scientists to data engineers and from IT to business users — to collaborate on a unified platform. By partnering with major cloud companies like AWS, Google Cloud, Azure, and VMware, DataRobot helps customers harness the power of their data wherever it lives.

Cloud 52

Cloud Innovation Google Cloud Azure 52