Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 75

Unstructured Data Banking Machine Learning Media 75

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Data security and governance aren’t the only reasons leading organizations will take this approach.

Healthcare 94

Healthcare Hospitality Electronics Medical 94

Snowflake

JANUARY 18, 2024

A robust, flexible architecture Snowflake’s unique architecture is designed to handle the full volume, velocity and variety of data without making manufacturers deal with downtime for upgrades or compute changes. In addition, they can add third-party data sets through Snowflake Marketplace to enrich insights.

Manufacturing 92

Manufacturing Unstructured Data Cloud Architecture 92

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 77

Unstructured Data Data Lake Data Architecture Data 77

Confluent

MAY 23, 2023

Keep your unstructured data secure and compliant by automatically detecting personally identifiable information in real-time, with our ML-powered real-time PII detection solutions.

Unstructured Data 64

Unstructured Data Data Security Data 64

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Metadata 87

Metadata Unstructured Data Data Lake Government 87

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. HBL aims to double its banked customers by 2025. “

Banking 88

Banking Management Data Lake Professional Services 88

Cloudera

JULY 26, 2021

Authorization: Define what users of internal / external organizations can access and do with the data in a fine-grained manner that ensures compliance with e.g., data obfuscation requirements introduced by industry and country specific standards for certain types of data assets such as PII.

Generalist 120

Generalist Telecommunication Healthcare Data Science 120

Snowflake

JUNE 5, 2024

Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards. Cortex Search manages the end-to-end workflow for data ingestion, embedding, retrieval, reranking and generation.

Coding 92

Coding Building Management Government 92

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Rivery – Automate, manage, and transform data so it can be fed back to stakeholders as meaningful insights.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

AUGUST 20, 2021

It is both the superior technical characteristics of each individual data experience and the cohesive choreography between them that make CDP the ideal data platform for complex data products that include multiple stages of analytical processing to deliver differentiated value propositions.

Data Warehouse 100

Data Warehouse Data Cloud Architecture 100

Snowflake

JULY 9, 2024

To better understand a customer’s current data reality we ask a series of questions: Do you have access to all of your internal data? Have you unlocked data from existing applications, systems or business unit silos? Have you transformed your unstructured data into structured, usable data?

Government 86

Government Education Data Governance Unstructured Data 86

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Lake 81

RandomTrees

SEPTEMBER 17, 2024

Data Discovery: Users can find and use data more effectively because to Unity Catalog’s tagging and documentation features. Unified Governance: It offers a comprehensive governance framework by supporting notebooks, dashboards, files, machine learning models, and both organized and unstructured data.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Cloudera

JUNE 22, 2023

It integrates data from databases, cloud or RESTful APIs, and real-time, streaming feeds, as well as unstructured data from document databases and other sources. And by handling both batch and streaming data, it supports traditional analytic workloads, essential for decision support, as well as real-time operational analytics.

Data Cleanse 68

Data Cleanse Data Governance Unstructured Data Cloud Storage 68

Knowledge Hut

SEPTEMBER 26, 2023

Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise. What Does an Azure Data Engineer Do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 24, 2023

Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses. They are probably the best option for contemporary applications that need real-time data processing, great scalability, and flexibility.

Database 52

Database NoSQL Management Relational Database 52

Snowflake

MAY 2, 2023

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges ofbuilding high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

AltexSoft

FEBRUARY 11, 2023

If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

APRIL 25, 2024

It describes the actions people must take, the rules they must follow, and the technology that will support them throughout the data life cycle. Data security Data security is the technique of preventing digital data from being accessed by unauthorized parties, being corrupted, or being stolen at any point in its lifecycle.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

RandomTrees

SEPTEMBER 27, 2024

This eliminates the need to make multiple copies of data assets. Unified data platform: One Lake provides a unified platform for all data types, including structured, semi-structured, and unstructured data.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Monte Carlo

FEBRUARY 15, 2023

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

phData: Data Engineering

NOVEMBER 1, 2024

Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems. However, implementation in a large complex environment is difficult due to investment challenges and buy-in from the business.

Government 52

Government Data Governance Finance Metadata 52

Meltano

OCTOBER 5, 2022

Automation Automation is an essential factor in data management, as it helps save both time and money while increasing efficiency and reducing errors. Meltano enables the automation of data delivery from various sources at the same time. Testing Data Quality Untested and undocumented data can result in unstable data and pipeline debt.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. This ensures the backup procedure and data security.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

MAY 8, 2015

Cuban government turned to a Spanish big data analytics firm Social Vane to crunch big data for improving hotels and infrastructure. Table of Contents How big data is changing the world? These systems can be related to human brains as they link bits of data to find real answers and not merely search results.

Big Data 40

Big Data Retail Banking Unstructured Data 40

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data lakes allow for more flexibility than a more rigid data warehouse. Database A collection of structured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloud Academy

NOVEMBER 6, 2022

Data Modeling We have a lot of data coming from multiple sources internal and external to Cloud Academy. We work with structured , semi-structured , and unstructured data. So, before hitting the data from our BI tool, we need an approach to prepare and model data in an effective way.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

U-Next

SEPTEMBER 7, 2022

The various steps in the data management process are listed below: . Data collection, processing, validation, and archiving . Combining various data kinds, including both structured and unstructured data, from various sources . Ensuring catastrophe recovery and high data availability .

Data Management 52

Data Management Management Electronics Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

The skills required to become a Business Intelligence Analyst are Database design, creation and maintenance, Data Mining and Analysis, Data Visualization tools like Tableau, Power BI, Data Security and Privacy, advanced SQL queries, ETL Framework, programming skills like Python, R, and familiarity with Cloud Technologies.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Meltano

OCTOBER 5, 2022

This includes unit tests (testing separate components of a data pipeline) as well as performance tests (testing the responsiveness) and end-to-end tests (testing the whole pipeline). Handling security. DataOps engineers ensure data security standards are applied across the data pipelines. Adopting new solutions.

Engineering 52

Engineering Raw Data Data Pipeline Data Warehouse 52

Edureka

FEBRUARY 7, 2023

They should also be comfortable working with a variety of data sources and types and be able to design and implement data pipelines that can handle structured, semi-structured, and unstructured data.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Precisely

MAY 13, 2024

Read the eBook Buyer’s Guide and Checklist for Data Integration This checklist will help you evaluate data integration vendors and software that will help you meet the challenges of the new data integration paradigm. Questions to ask each vendor: How do your solutions keep my data secure as it moves through the data pipeline?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52