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. . Improve Visibility within Supply Chains.

Manufacturing 111

Manufacturing Retail Government Entertainment 111

The Modern Data Company

APRIL 12, 2023

The market’s technical talent shortage and the high demand for analytics experts can make it difficult for healthcare organizations to find and retain the in-house expertise they need to design, deploy, and maintain cutting-edge data solutions.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 89

Data Architecture Architecture Unstructured Data Government 89

Snowflake

JULY 13, 2023

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives.

Medical 98

Medical Hospitality Transportation Scala 98

Towards Data Science

MAY 19, 2023

Tech Target , defines a data silo as a repository of data controlled by one department or business unit and, therefore, not wholly or easily accessible by other departments within the same organisation. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Towards Data Science

JULY 26, 2024

Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinking source: unsplash.com Recently, I have had the fortune of speaking to a number of data engineers and data architects about the problems they face with data in their businesses. Don’t be afraid to champion radical simplicity in your data team.

Data Engineering 75

Data Engineering Data Engineer Engineering Data Warehouse 75

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

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. The post Data Integrity for ESG in Financial Services appeared first on Precisely.

Data Integration 52

Data Integration Government Data Governance Datasets 52

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 71

Process Kafka Government Big Data 71

Snowflake

FEBRUARY 5, 2024

Leading financial institutions will rely on strong data foundations that share, secure and govern data throughout the entire business ecosystem as they build gen AI solutions. They’ll prioritize data solutions that work across clouds.

Unstructured Data 119

Unstructured Data Banking Government Insurance 119

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Integration with existing systems: Ensure the solution can integrate seamlessly with your existing tools, applications, and infrastructure. Data governance and security: Evaluate the native security, data governance, and data quality management features. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and security.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Precisely

FEBRUARY 14, 2023

A bot that can’t find the right data for a customer interaction slows or halts the process and negatively impacts customer satisfaction. And since customer data is shared across policy, billing, claims, and other areas of your organization, this makes data quality and data governance important enterprise concerns.

Insurance 52

Insurance Management Data Governance Data Integration 52

Precisely

FEBRUARY 14, 2023

A bot that can’t find the right data for a customer interaction slows or halts the process and negatively impacts customer satisfaction. And since customer data is shared across policy, billing, claims, and other areas of your organization, this makes data quality and data governance important enterprise concerns.

Insurance 52

Insurance Management Data Governance Government 52

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. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

JULY 5, 2024

Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all. Modern Landscape: Today, Data Engineering involves slick ETL processes, real-time streaming, and the concept of data lakes, shaping the backbone of our data-driven world.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

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. This enhances data governance and aids in decision-making. This paves the way for new interactions and capabilities.

IT 59

IT Scala Java Programming Language 59

Precisely

MARCH 14, 2023

Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 52

ProjectPro

FEBRUARY 8, 2017

With the use of various SQL-on-Hadoop tools like Hive, Impala, Phoenix, Presto and Drill, query accelerators are bridging the gap between traditional data warehouse systems and the world of big data. 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 Machine Learning 40

Ascend.io

OCTOBER 8, 2024

Data leaders, on the other hand, are responsible for designing the data architecture that supports the organization’s data strategy. This includes making high-level decisions about technology, data governance, and compliance, as well as aligning data initiatives with business objectives.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Architecture 52

ProjectPro

FEBRUARY 1, 2017

ii) AtScale survey reveals that more than half of the organizations having big data solutions living on the cloud today that is likely to increase to 3/4th. iv) Companies building big data solutions on hadoop will focus on data governance and security menace as a frontier of their big data initiatives in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

SEPTEMBER 21, 2023

To accomplish this, we leverage the power of Azure's data engineering tools and services. From Azure Data Factory for data integration and orchestration to Azure Databricks for large-scale data transformations, we use a diverse toolkit to engineer efficient data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Precisely

MARCH 27, 2023

We help enterprise leaders deliver transformational results, focusing first on the “why” and then proceed to design and execution that helps them to attain a measurable ROI for an enterprise data strategy. We help companies design, implement, operationalize, and ultimately optimize their enterprise data solutions.

Consulting 52

Consulting Food Pharmaceutical Data Lake 52

Precisely

MAY 2, 2024

With Automate Studio , you can quickly build an Excel-based solution to extract customer records based on your chosen criteria, identify duplicates, and flag them accordingly. Simpler, faster customer master data management powered by automation.

Coding Skills 69

Coding Skills Food Data Portfolio 69

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

Insurance 59

Insurance Programming Language Manufacturing Data 59

Knowledge Hut

APRIL 23, 2024

Small Data can be stored and processed using standard storage solutions, such as databases or file systems, at a lower cost. The hardware and infrastructure requirements are generally more affordable compared to Big Data solutions.

Big Data 52

Big Data Datasets Data Analysis Media 52

Ascend.io

DECEMBER 1, 2022

As such, this process may involve everything from digitizing paper documents to moving data to new servers. Storage migration also plays a role in making the switch from on-site mainframes to cloud-based data solutions. The main driver of this type of data migration is a compelling desire for technological advancements.

Process 52

Process Data Database ETL Tools 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. More than 546,200 new roles related to big data will result from this.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Monte Carlo

MARCH 24, 2023

Data corruption Like a backup hard drive or SD card that refuses to work…on a much bigger scale. Data duplication When using multiple sources, or in the process of re-running failed jobs you might end up with the same data entered more than once. But what about the permissions and policies surrounding that table?

Data Warehouse 52

Data Warehouse AWS Cloud Database 52