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 75

Unstructured Data Data Lake Data Architecture Data 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 91

Healthcare Hospitality Electronics Medical 91

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 89

Manufacturing Unstructured Data Cloud Architecture 89

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 73

Unstructured Data Banking Machine Learning Media 73

Snowflake

MARCH 19, 2024

This suggests that even as organizations increase the granularity of their data governance practices, they’re able to do more, not less, with the data. We also saw a lot more work with unstructured data, which has great AI potential, since estimates consistently put the share of all data that’s unstructured at 80% to 90%.

Data Governance 120

Data Governance Government Unstructured Data Programming Language 120

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

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

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

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

Cloudera

JULY 29, 2021

Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Analytics that are simple to use and manage for actionable insights. Lunch and refreshments will be provided.

Healthcare 102

Healthcare Unstructured Data Government Machine Learning 102

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

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

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 85

Banking Management Data Lake Professional Services 85

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

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 89

Coding Building Management Government 89

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

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 84

Government Education Data Governance Unstructured Data 84

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 83

Data Engineering Data Engineer Engineering Data Lake 83

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 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

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

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

Knowledge Hut

APRIL 23, 2024

Big Data certification course will support you in learning big data skills from the greatest mentors to help you build a career in big data. Top 10 Disadvantages of Big Data 1. Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data.

Big Data 52

Big Data Media Government Big Data Skills 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

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 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

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. What is the difference between a data engineer and a data scientist? What’s the Demand for Data Engineers? What is COSHH?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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

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

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 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

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

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 ETL Tools 52

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses 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 Mining 52