Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. The data architecture must guarantee data security and enforce access control measures.

Hadoop 52

Hadoop Project Datasets Big Data 52

Cloudera

SEPTEMBER 28, 2020

Transition from Navigator by migrating the business metadata (tags, entity names, custom properties, descriptions and technical metadata (Hive, Spark, HDFS, Impala) to Atlas. This allowed them to enable a modern data architecture, enhance their streaming capabilities and prepare for the next phase of the CDP Journey.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Data Scientist: To extract value from data, data scientists execute sophisticated analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

APRIL 28, 2022

Using query tags The QUERY_TAG can be used to tag queries and SQL statements executed within a session, oftentimes related to the type of workload. By leveraging this best practice consistently, your team can more easily spot trends, outliers, and issues with your data pipeline. Pick two.”

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Knowledge Hut

APRIL 20, 2023

Data ownership and accountability: It involves defining roles and responsibilities for managing data and ensuring that data ownership and accountability are clearly established. This may involve assigning data stewards and data custodians and implementing data governance committees.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Rockset

JANUARY 28, 2020

Their autonomous checkout system only requires easy-to-install overhead cameras, with no other sensors or RFID tags needed on shelves or merchandise. Testing new functionality on their transactional data store is costly and can impact production.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

Towards Data Science

APRIL 6, 2023

And this is what I hope you took away from this post: Developing a good data infrastructure requires not only some theoretical knowledge of data architectures, data modeling, or streaming but also a good understanding of the available tools that can help materialize your vision.

AWS 80

AWS Data Pipeline Amazon Web Services Python 80

AltexSoft

OCTOBER 25, 2021

Information extraction — retrieving valuable information from unstructured data. Say, the system can tag data from patient history, discharge summary, or call center reports and then structure them in an EHR according to a schema. So, new data-related adoption often comes with extra work on your other applications.

Medical 52

Medical Healthcare Process Hospitality 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 90

Cloud IT Data Warehouse AWS 90

Cloudera

MAY 2, 2022

But increasingly at Cloudera, our clients are looking for a hybrid cloud architecture in order to manage compliance requirements. This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. .

Cloud 104

Cloud Government Healthcare Metadata 104

Scott Logic

OCTOBER 30, 2023

At the time there were thousands of untagged pages of content that we estimated would take years for civil servants across government to review and tag. The project team built a supervised machine learning model that could recognise patterns in the pages, read the content, and suggest suitable tags.

Government 52

Government Hospitality Database-centric Machine Learning 52

Snowflake

DECEMBER 12, 2023

Iceberg Tables bring the easy management and great performance of Snowflake to data stored externally in an open source format. Snowflake Horizon Seamless data governance with a new user experience in Snowsight – general availability Users can effortlessly explore objects of interest and perform essential actions—all without SQL.

Metadata 90

Metadata Python AWS Government 90

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Hadoop has this ecosystem of interesting projects that have grown up around it."-

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

NOVEMBER 14, 2015

This data can be analysed using big data analytics to maximise revenue and profits. We need to analyze this data and answer a few queries such as which movies were popular etc. To this group, we add a storage account and move the raw data. Then we create and run an Azure data factory (ADF) pipelines.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

SEPTEMBER 22, 2023

Data engineers' knowledge is used by AI engineers to store the information produced by AI. To store the information and tags that the Computer Vision programme generates, the AI engineer would ask a data engineer to set up an Azure Cosmos DB instance. How Difficult is the Microsoft Azure Data Engineer Certification Exam?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

NOVEMBER 2, 2023

And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture.

Data Lake 90

Data Lake Data Warehouse Cloud Unstructured Data 90

AltexSoft

MARCH 2, 2023

The Solution Architect is responsible for designing and implementing technology solutions that meet the business requirements of an organization, and data governance can be one of the aspects of this work. A Data Architect typically focuses on creating and building data infrastructures inside an organization.

Data Governance 52

Data Governance Government Healthcare Programming 52

Snowflake

JUNE 28, 2023

This integration allows users to securely connect to a git repo from a Snowflake account and access contents from any branch / tag / commit within Snowflake. Native Git Integration (PrPr Soon) – Snowflake now supports native integration with git repos!

Python 52

Python Accessible Accessibility Pipeline-centric 52

Monte Carlo

JUNE 9, 2022

Reducing data downtime And of course, the other benefit to suffering from fewer data incidents and resolving them more quickly is less overall data downtime. This data quality metric refers to the periods of time when when your data is partial, erroneous, missing or otherwise inaccurate.

IT 52

IT Healthcare Raw Data Data Warehouse 52

AltexSoft

JULY 18, 2023

So while the dependence on external storage systems is not an inherent drawback, it is an aspect to be considered when evaluating the suitability of Apache Spark for a specific use case or data architecture. Just make sure to tag your question with ‘apache-spark’ to get the right attention.

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

JANUARY 18, 2024

ML engineers work in close collaboration with the Data scientists throughout the Data Science pipeline. An ML engineer would require to have robust data modeling and data architecture skills along with programming experience in Python and R.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

OCTOBER 20, 2021

PoS Tagging Differentiation of the parts of a sentence to help tag the parts of speech such as noun, verb, adjective, etc. Data Integration at Scale Most data architectures rely on a single source of truth. Having multiple data integration routes helps optimize the operational as well as analytical use of data.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

MAY 12, 2023

Last but not least, you may need to leverage data labeling if you train models for custom tasks. In a practical sense, data labeling involves annotating or tagging raw data, like text, images, video, or audio, with relevant information that helps machine learning models learn patterns and perform specific tasks accurately.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MAY 31, 2021

The project develops a data processing chain in a big data environment using Amazon Web Services (AWS) cloud tools, including steps like dimensionality reduction and data preprocessing and implements a fruit image classification engine. Semi-structured Data: It is a combination of structured and unstructured data.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

MARCH 13, 2024

When to implement data governance Data governance is now considered a must-have for most organizations because it helps improve compliance with GDPR and other measures, safeguard proprietary data against bad actors, support a distributed data architecture, and maintain data quality.

Data Governance 52

Data Governance Government Metadata Data 52

Snowflake

FEBRUARY 13, 2023

With these new capabilities, you can use Snowflake to access data in those storage devices while getting the ease of use, elasticity, governance, resilience, and connectivity that Snowflake provides out of the box. Transportation Daasity Daasity enables omnichannel consumer brands to be data-driven.

Insurance 52

Insurance Banking Government Retail 52

Monte Carlo

MAY 17, 2023

We knew we were missing a lot of data and wanted to keep better track of our website through Google Analytics and Google Tag Manager. System Modernization and Optimization The only constant in data engineering is change. This applies especially to your data architecture.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

We knew we were missing a lot of data and wanted to keep better track of our website through Google Analytics and Google Tag Manager. System Modernization and Optimization The only constant in data engineering is change. This applies especially to your data architecture.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52