The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

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

There has been a tremendous shift as employees, consumers, as well as investors are making more conscious decisions based on environmental, social and governance ( ESG ) factors. This is also driving further scrutiny around the data integrity practices that impact their other business interests.

Data Integration 52

Data Integration Government Data Governance Datasets 52

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Lake 52

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. Small Data: Managing privacy and security in Small Data is comparatively easier.

Big Data 52

Big Data Datasets Data Analysis Media 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. . Keep data lineage secure and governed.

Manufacturing 109

Manufacturing Retail Entertainment Government 109

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

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 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 Data Lake Management Data Warehouse 52

Snowflake

JANUARY 19, 2023

To better understand how companies navigate new opportunities, Snowflake commissioned a survey of over 1,000 senior business and technology executives across 8 countries and 5 industries, and published How to Win in the Data Economy. Data leaders deliver. The same is true for data.

Data 108

Data Data Governance Data Architecture Government 108

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

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 86

Data Architecture Architecture Unstructured Data Government 86

DataKitchen

APRIL 13, 2021

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. . ModelOp — Governs, monitors, and orchestrates models across the enterprise. Meta-Orchestration .

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

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

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

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

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. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products. Is it the responsibility of the data product managers?

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Precisely

MARCH 14, 2023

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. 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

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

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. Security & Governance Leadership.

Banking 76

Banking Data Lake Telecommunication Data 76

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 70

Process Kafka Government Big Data 70

Precisely

MAY 2, 2024

In the digital era, your data is a crucial key to operational success – and the strategic importance of SAP customer master data can’t be overstated. That’s what makes slow, manual customer data management so damaging. Simpler, faster customer master data management powered by automation.

Coding Skills 67

Coding Skills Food Data Portfolio 67

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

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

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

Ascend.io

DECEMBER 1, 2022

Successful migrations guarantee that valuable data is intact. A less effective process is exposed to the risks of data loss, corruption, or unauthorized access. The appropriate degree of attention and resources will secure your data throughout transit. What Are the Main Types of Data Migration?

Process 52

Process Data ETL Tools Database 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

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

Knowledge Hut

MARCH 26, 2024

Extensive experience in enterprise architecture, solution design, and IT governance. 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.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 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

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

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

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

ProjectPro

FEBRUARY 1, 2017

Experian deployed a new software called data fabric layer based on open source Hadoop along with an API platform and microservices which will help consumers and corporate customers access credit reports and information quickly. v) In 2017, we might think of big data as a data fabric. 5 Hadoop Trends to Watch in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 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 also has data discovery features, allowing users to find and retrieve data more efficiently and rapidly.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52