The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Snowflake

APRIL 8, 2024

Their analytics-first approach to healthcare leverages AI-powered insights and workflows through natively integrated data management, analytics and care management solutions. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 117

Pipeline-centric Food Healthcare Unstructured Data 117

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

JUNE 12, 2022

In this episode she shares her thoughts and insights on how to be intentional about establishing your own data team. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The future is hybrid data, embrace it.

IT 108

IT Unstructured Data Data Architecture Government 108

Cloudera

AUGUST 4, 2021

Using a scalable data management and analytics platform built on Cloudera Enterprise, Sikorsky can process and store data in a reliable way, and analyze full data sets across entire fleets. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Weekly

DECEMBER 25, 2023

The key focus has been interoperability among different data lake formats and the seamless integration of structured and unstructured data. This evolution marks a significant step towards more flexible and powerful data management systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

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. Sample Customer Successes .

Unstructured Data 69

Unstructured Data Banking Machine Learning Media 69

Cloudera

DECEMBER 19, 2023

Innovations in AI-enabled data management in defense and intelligence communities also enable secure data sharing across the organization and with partners, optimizing data analysis and intelligence collaboration.

Government 86

Government Education Unstructured Data Datasets 86

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 73

Data Science Business Analyst ETL Method Data Architect 73

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

Knowledge Hut

APRIL 23, 2024

Below are some of the differences between Traditional Databases vs big data: Parameters Big Data Traditional Data Flexibility Big data is more flexible and can include both structured and unstructured data. Traditional Data is based on a static schema that can only work well with structured data.

Big Data 52

Big Data Relational Database Data Datasets 52

Databand.ai

JULY 11, 2023

By automating many of the processes involved in data quality management, data quality platforms can help organizations reduce errors, streamline workflows, and make better use of their data assets. Support and services: Finally, consider the level of support and services offered by the data quality platform vendor.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Data Engineering Podcast

SEPTEMBER 14, 2020

In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. If you hand a book to a new data engineer, what wisdom would you add to it? What are the benefits and tradeoffs of in-memory computation for data-intensive workloads?

Process 100

Process Unstructured Data Metadata Data Engineering 100

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Knowledge Hut

SEPTEMBER 26, 2023

Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same. Who is an Azure Data Engineer? The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

MARCH 3, 2024

[link] AWS: Data governance in the age of generative AI The AWS Big Data Blog discusses the importance of data governance in the age of generative AI, emphasizing the need for robust data management strategies to ensure data quality, privacy, and security across structured and unstructured data sources.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

JULY 29, 2021

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

Healthcare 100

Healthcare Unstructured Data Government Machine Learning 100

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Customer Data Management Data science in finance enables companies to analyze customer purchase patterns and cater to preferences.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Cloudera

OCTOBER 26, 2020

The challenge is compounded as the data, from which insight is distilled, is exploding in volume and variety. Across the world, 5G networks are being rolled out, unleashing new real-time streams of data. Not a day goes by without virtual conversations, creating masses of unstructured data. With no compromise required.

Data Security 117

Data Security IT Unstructured Data Government 117

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Unstructured data sources. Data lake on AWS. Enterprise-grade security.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Cloudera

FEBRUARY 8, 2021

Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning).

Manufacturing 107

Manufacturing Machine Learning Data Ingestion Electronics 107

Databand.ai

JULY 19, 2023

This feature is critical in today’s data-driven business environment, where data may originate from a variety of sources and undergo numerous transformations before reaching its final destination. Metadata Management Metadata, or ‘data about data’, is a crucial component of data management.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

APRIL 24, 2023

If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks. AWS is one of the most popular data lake vendors. The added structure and governance from Dataplex makes BigLake an intriguing data lakehouse option as well.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

NOVEMBER 2, 2023

Creating a Data Lake with Amazon S3 and AWS Glue Difficulty Level: Intermediate to Advanced A modern data management project is like constructing a data lake to store and process massive datasets.

AWS 52

AWS Coding Cloud Project 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. They control and safeguard the flow of organized and unstructured data from many sources.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

DECEMBER 11, 2020

Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data. It can also prevent unauthorized data access, decrease operational costs, and greatly increase business agility for multiple users.

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Data Lake Government Data Security Unstructured Data 98