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

Cloudera

APRIL 19, 2022

But merely understanding all this potential is insufficient, as many businesses are still struggling to overcome roadblocks and realise their data as an invaluable asset, not just a by-product of the organisation. . Siloed data solutions or strategies designated to the IT team (or a small function within the business) just don’t work.

Big Data 90

Big Data Government Data Accessible 90

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

Snowflake

JUNE 13, 2023

“We needed to clear a large data backlog to do things faster—including producing reports at high speed,” said Sanjeev Kumar, Head of Data Management and Analytics at tesa. “By By using Snowflake’s platform as the analytical engine behind our Power BI and SAP data, we now have a much more governable data solution.

Cloud 52

Cloud Manufacturing Datasets Scala 52

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

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

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

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

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

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

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

Knowledge Hut

NOVEMBER 16, 2023

Go through the following whitepapers to prepare for this certification exam: Encrypting Data at Rest – This whitepaper covers all the government or industry regulations, organizational policies involved in encryption at rest for protecting the data.

AWS 52

AWS Certification Amazon Web Services Machine Learning 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

Snowflake

JULY 24, 2023

Around 1500 people across a wide range of roles, from accountants and financial controllers to top-level managers, rely on Fortum’s financial data, meaning it has to be highly accessible while remaining completely secure and compliant. Our data infrastructure had simply reached the end of its life.”

Building 52

Building Engineering Finance Data Lake 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

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

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

Knowledge Hut

DECEMBER 26, 2023

Big data companies typically use data to help organizations make better decisions, improve operations, and understand customer behavior. Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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

Cloudera

NOVEMBER 25, 2021

These modern digital businesses are also dealing with unprecedented rates of data volume, which is exploding from terabytes to petabytes and even exabytes which could prove difficult to manage. Cloudera and AWS: Harnessing the Power of Data and Cloud . Common Use Cases for Cloud and Data Solutions . The Power of Two.

Amazon Web Services 88

Amazon Web Services Cloud AWS Healthcare 88

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 123

Consulting Machine Learning Data Science Data Pipeline 123

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

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

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

Knowledge Hut

SEPTEMBER 22, 2023

What is Microsoft Azure Data Engineer Certification? The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services.

Certification 52

Certification Data Engineering Data Engineer Engineering 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 70

Process Kafka Government Big Data 70

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

Snowflake

AUGUST 22, 2023

In either case, the process of discovery continues to capture the product requirements, including data sources; the specific data requirements such as quality, formats or frequency of refresh; and also analytics and engineering requirements. Metadata and data should be easy to find for both humans and computers.

Metadata 73

Metadata Data AWS Business Analyst 73

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

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

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

Knowledge Hut

OCTOBER 3, 2023

Understanding Azure identity and access management. Core Topics Covered: Implementing and managing identity and access. Securing data and applications. Core Topics Covered: Identity and access management Azure governance and compliance Azure Resource Manager security Azure networking security C.

Certification 52

Certification Cloud Computing Consulting Cloud 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

Knowledge Hut

SEPTEMBER 25, 2023

Skills Acquired Manage Azure subscriptions, resources, and role-based access control (RBAC). Implement identity and access management using Azure Active Directory. Configure security for storage and databases and implement threat detection solutions. Safeguarding access and data is non-negotiable.

Certification 52

Certification Cloud Computing Programming Language Cloud 52

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. Types of Big Data 1. Offers flexibility and faster data processing.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59