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. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

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. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 52

The Modern Data Company

JANUARY 22, 2024

Founded on the principle of empowering every stakeholder to make data-driven decisions, Modern’s journey is intricately tied to the ideals of data democratization. Key Takeaways: DataOS Data Products excel in addressing Gartner’s standard capabilities, introducing augmented functionalities.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

The Modern Data Company

APRIL 12, 2023

Silos can limit data visibility across an organization, preventing healthcare providers from having a complete and up-to-date view of a patient’s health history. They can make accessing data from multiple sources difficult, resulting in duplication of effort and reduced efficiency.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Precisely

MAY 2, 2024

When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers. That’s what makes slow, manual customer data management so damaging. What is Customer Master Data in SAP?

Coding Skills 67

Coding Skills Food Data Portfolio 67

Ascend.io

SEPTEMBER 5, 2023

In the fast-evolving landscape of cloud data solutions, Snowflake has consistently been at the forefront of innovation, offering enterprises sophisticated tools to optimize their data management. Snowpark is a library equipped with an API that developers can use for querying and processing data within the Snowflake Data Cloud.

IT 59

IT Scala Java Programming Language 59

Snowflake

JANUARY 19, 2023

CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data. Data leaders deliver.

Data 108

Data Data Governance Data Architecture Government 108

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. They’ll prioritize data solutions that work across clouds.

Unstructured Data 100

Unstructured Data Banking Government Insurance 100

Precisely

MARCH 6, 2023

Solution Page Environmental, Social, and Governance (ESG) Data Solutions Financial Services organizations increasingly want to dive deeper and understand how the companies that they’re engaged with support ESG initiatives. See what that can mean for your organization.

Data Integration 52

Data Integration Government Data Governance Datasets 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Open source solutions reduce risk. Keep data lineage secure and governed.

Manufacturing 109

Manufacturing Retail Entertainment Government 109

Precisely

MARCH 14, 2023

New technologies are making it easier for customers to process increasingly large datasets more rapidly. First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure.

Data Integration 52

Data Integration High Quality Data BI Data 52

DataKitchen

APRIL 13, 2021

Process Analytics. 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. . Reflow — A system for incremental data processing in the cloud. Azure DevOps.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. If you are in the process of upgrading an existing platform, the key is to be strategic, think about business criticality, and prioritise accordingly.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Precisely

FEBRUARY 14, 2023

That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. The data quality you need to transform insurance claims management If you’re an insurer, you need to first look at your digital transformation strategy through a data quality lens. Let’s explore why.

Insurance 52

Insurance Management Data Governance Data Integration 52

Precisely

FEBRUARY 14, 2023

That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. The data quality you need to transform insurance claims management If you’re an insurer, you need to first look at your digital transformation strategy through a data quality lens. Let’s explore why.

Insurance 52

Insurance Management Data Governance Government 52

Ascend.io

JULY 26, 2023

Data teams are tasked with the crucial responsibility of transforming raw data into valuable insights, a process that directly influences business outcomes. We will delve deep into how successful data teams manage to navigate through these challenges and unlock value from their data.

Data Pipeline 52

Data Pipeline Data Governance Data Government 52

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. The IT departments no longer have exclusive access to information.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Monte Carlo

MAY 19, 2022

When you infer some of Maxime’s original criteria–tedious tasks, low recognition, a lack of authority, and victim of operational creep– the data steward becomes the obvious choice. The data steward role is designed to solve some of the hardest challenges in data today: governance, compliance, and access.

Generalist 52

Generalist Data Governance Government Metadata 52

The Modern Data Company

APRIL 15, 2024

The Role of a Data Model Explained Think of a data model as the ultimate organizer in the vast library of your company’s data. Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights.

Government 52

Government Metadata Data Data Lake 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

MARCH 24, 2023

Sure, terabytes or even petabytes of data are involved, but generally it’s not the size of the data but everything surrounding the data–workflows, access permissions, layers of dependencies–that pose data migration risks. Data governance, compliance and access management Moving a table is relatively simple.

Data Warehouse 52

Data Warehouse AWS Cloud Data Governance 52

Knowledge Hut

SEPTEMBER 21, 2023

We are the architects of data, ensuring its integrity, security, and accessibility. To accomplish this, we leverage the power of Azure's data engineering tools and services. We work with data scientists, business analysts, and stakeholders to understand their requirements and deliver data pipelines that meet their needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. transactions per day and processing information at a rate of 1k events per second.

Banking 76

Banking Data Lake Telecommunication Data 76

Knowledge Hut

JANUARY 3, 2024

To keep Azure services running smoothly, they assure Azure resources' stability, security, and performance, regulate user access, implement monitoring, and conduct day-to-day operational activities. Azure Data Engineer Azure Data Engineers are experts in the design and implementation of data solutions on Azure.

Cloud Computing 52

Cloud Computing Recruitment Computer Science Education 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

MARCH 26, 2024

Enterprise Solutions Architect Role Overview: Design and oversee the implementation of complex, end-to-end enterprise solutions to meet organizational goals and requirements. Role Level: Senior-level position requiring extensive experience in enterprise architecture and a deep understanding of business processes.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

MARCH 14, 2022

But nobody was in charge of developing data solutions to make analytics operational, scalable, and accessible. As a result, the product data manager role was created to answer questions like: What data exists? Who needs this data? Where is this data flowing to/from? What purpose does this data serve?

Management 59

Management Software Engineer Software Engineering Data 59

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 8, 2017

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

FEBRUARY 1, 2017

CIO.com, January 5, 2017 Experian implemented a novel data analytics system that takes just few hours of time to process petabytes of data from hundreds of millions customers worldwide instead of months. v) In 2017, we might think of big data as a data fabric. The future of Hadoop is cloudy.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52