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 Data Lake Management 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

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 Data Lake Management 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

Snowflake

JANUARY 19, 2023

Vikrant Bhan, Group Head Analytics, Data and Integration, Nestlé Yuta Hishinuma , CTO, Chura Data Inc. Zachery Anderson , Chief Data and Analytics Officer, NatWest Group As Thomas Edison said, “The value of an idea lies in the use of it.” The same is true for data.

Data 106

Data Data Governance Data Architecture Government 106

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

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

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

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 89

Medical Hospitality Scala Transportation 89

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

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 108

Manufacturing Retail Entertainment Government 108

Monte Carlo

MAY 19, 2022

From the start, the data steward role was heavily intertwined with data governance and metadata management. However, stewards also took on leadership across initiatives designed to tame the “5 v’s” of big data: volume, value, variety, velocity, and veracity. Data governance initiatives can collapse under their own weight.

Generalist 52

Generalist Data Governance Government Metadata 52

Ascend.io

JULY 26, 2023

Multiple Data Product Point Solutions: End-to-end Data Platform The absence of a unified, end-to-end data platform often results in fragmented data solutions. This fragmentation can hamper the overall effectiveness of data teams, create data silos, and complicate data management.

Data Pipeline 52

Data Pipeline Data Governance Data Government 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.

Food 52

Food Consulting Pharmaceutical Data Lake 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

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 105

Pipeline-centric Data Software Engineer Software Engineering 105

Knowledge Hut

JANUARY 3, 2024

Azure Data Engineer Azure Data Engineers are experts in the design and implementation of data solutions on Azure. Using Azure services, they create, manage, and optimize data pipelines, databases, and data warehouses.

Cloud Computing 52

Cloud Computing Recruitment Computer Science Education 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 ETL Tools Database 52

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 Healthcare 59

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 Data Governance 52

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 94

Unstructured Data Banking Government Insurance 94

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

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

Knowledge Hut

APRIL 25, 2024

Departments that previously couldn't access their data without contacting analysts or IT can now start data analysis with little to no training. By providing data solutions to departments that need them and to individuals with an insatiable curiosity for data, BI is made scalable. It is also limiting.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Knowledge Hut

JUNE 23, 2023

You should be able to work on complex projects and design and implement data solutions. The next stage is to work as a Senior Data Engineer – After you gain expertise in multiple programming languages, databases, and big data technologies, you should be able to work on complex data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Striim

AUGUST 31, 2023

In conclusion, kappa architectures have revolutionized the way businesses approach big data solutions – allowing them to take advantage of cutting edge technologies while reducing costs associated with manual processes like ETL systems.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

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 Data Governance 40

Knowledge Hut

MARCH 26, 2024

Certifications Names: Cisco Certified Network Professional (CCNP) VMware Certified Professional (VCP) Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect - Associate CompTIA Server+ 6. Drives innovation and competitive advantage by designing and implementing scalable and efficient data solutions.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

The Modern Data Company

APRIL 15, 2024

Here’s why they’re game-changers: Central oversight with flexible use: Data Products allow for a bird’s-eye view of your data landscape while supporting specialized needs through isolated “data planes.”

Government 52

Government Metadata Data Data Lake 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

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert. His most passionate topics include MLOps, machine learning, data quality and data governance.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Monte Carlo

MARCH 14, 2022

Internal and external data was flowing in and out of the company. There were regulations, guidelines, and restrictions for how this data could be used and by whom. But nobody was in charge of developing data solutions to make analytics operational, scalable, and accessible. Who needs this data?

Management 59

Management Software Engineer Software Engineering Data 59

ProjectPro

JULY 1, 2016

These Hadoop distributions now adhere to a specific set of expectations to run big data solutions. ostatic.com With many companies still struggling with Hadoop complexities to yield data-driven results, MapR announced its new initiative Spyglass. Source: [link] ) BMC evolving with Hadoop to launch new data solutions.

Hadoop 40

Hadoop Big Data Data Lake Datasets 40

Monte Carlo

AUGUST 17, 2022

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world.

Systems 52

Systems Building Data Data Engineering 52

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 a data warehousing platform that runs on the cloud. What is special about Snowflake?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52