The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

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

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

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 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms. What do we mean by ‘true’ hybrid?

Cloud 97

Cloud Data Governance Unstructured Data Data Architecture 97

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

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 95

Data Lake Data Warehouse Cloud Unstructured Data 95

phData: Data Engineering

NOVEMBER 1, 2024

Quotes It's extremely important because many of the Gen AI and LLM applications take an unstructured data approach, meaning many of the tools require you to give the tools full access to your data in an unrestricted way and let it crawl and parse it completely.

Government 52

Government Data Governance Finance Metadata 52

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government 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

Snowflake

APRIL 8, 2024

In fact, 8 of the 10 startups in our semi-finalist list plan to use one or both of these technologies in their offerings. Their analytics-first approach to healthcare leverages AI-powered insights and workflows through natively integrated data management, analytics and care management solutions.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

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 111

IT Unstructured Data Data Architecture Government 111

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Monitor data loading and queries.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Data Engineering Weekly

DECEMBER 25, 2023

Organizations must recognize their current position in the data maturity spectrum to make informed decisions about adopting new technologies. The Rising Impact of AI and Large Language Models 2023 witnessed a substantial impact of AI and large language models in data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Next-generation sequencing (NGS) technology has dramatically dropped the price of genomic sequencing, from about $1 million in 2007 to $600 today per whole genome sequencing (WGS).

Metadata 88

Metadata Healthcare Medical Data Storage 88

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

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

Monte Carlo

AUGUST 25, 2023

With pre-built functionalities and robust SQL support, data warehouses are tailor-made to enable swift, actionable querying for data analytics teams working primarily with structured data. Commonly, you’ll find data formats such as JSON, Apache Parquet, and Apache Avro in these environments.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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 74

Unstructured Data Data Lake Data Architecture Data 74

Data Engineering Podcast

NOVEMBER 27, 2022

The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Can you describe what you are building at Voltron Data and the story behind it? images, documents, etc.) What do you have planned for the future of Arrow?

Data Process 100

Data Process Process Metadata Business Intelligence 100

phData: Data Engineering

NOVEMBER 8, 2024

Track data files within the table along with their column statistics. Open table formats enable efficient data management and retrieval by storing these files chronologically, with a history of DDL and DML actions and an index of data file locations. Log all Inserts, Updates, and Deletes (DML) applied to the table.

Architecture 52

Architecture Systems Data Lake Google Cloud 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. Rabobank runs sophisticated machine learning algorithms and financial models to help customers manage their financial obligations, including loan repayments. .

Unstructured Data 73

Unstructured Data Banking Machine Learning Media 73

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. To kick-start your career in database management, you can take the best database courses.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 64

Data Cleanse Data Governance Unstructured Data Cloud Storage 64

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 Engineer Data Engineering Engineering 52

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

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. Share progress updates and involve citizens in AI policymaking. Build public trust through education on AI.

Government 89

Government Education Unstructured Data Algorithm 89

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 Engineer 100

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. What are some ways that we can use deep learning as part of the data management process?

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

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 101

Healthcare Unstructured Data Government Machine Learning 101

Striim

OCTOBER 11, 2024

Additionally, legacy systems frequently struggle with diverse data types, such as structured, semi-structured, and unstructured data. Contemporary pipelines simplify data management by supporting a wide array of data formats and automating many processes.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Cloudera

JUNE 12, 2024

The truth is, the industry is rapidly adopting AI and GenAI technologies to drive innovation across various domains. Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. and “What business use cases are they focused on?”

Finance 76

Finance Portfolio Government Unstructured Data 76