Knowledge Hut

NOVEMBER 17, 2023

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 20, 2023

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. This system quickly became unmanageable as Roche sought to make more efficient use of its data resources.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? ChatGPT screenshot of AI-generated Python code and an explanation of what it means.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. The data architecture must guarantee data security and enforce access control measures.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for qualified experts who can make use of Azure's data capabilities, eventually promoting organizational efficiency, innovation, and informed decision-making through efficient data management and analytics, is what motivates employers to hire Azure Data Engineers. Why Do Companies Hire Azure Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

OCTOBER 3, 2023

Managing projects successfully and collaborating with team members should be among your strengths. Azure Data Engineering Educational Requirement A bachelor's degree in computer science, information technology, data engineering, or a related field is a common starting point.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? You can browse the data lake files with the interactive training material.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

MAY 9, 2023

The data lake will function as a reliable, single information source from which different business units can extract actionable insights, and as a centralized data management platform tohelp eliminate data silos, optimize costs and maximize operational efficiency.

Data Security 87

Data Security Telecommunication Data Lake Data Governance 87

ProjectPro

JUNE 9, 2021

Data Engineer vs Data Scientist: Which is better? FAQs on Data Engineer vs Data Scientist Data Engineer vs Data Scientist: Demand With the rising volume of data and the adoption of IoT and Big data technologies, data scientists and data engineers will be in high demand in practically every IT-based firm.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. . “This partnership is poised to tackle some of the biggest challenges faced by data executives today, including cost optimization, risk management, and accelerating the adoption of new technologies.”

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 73

Telecommunication Data Architecture Government Architecture 73

Striim

FEBRUARY 19, 2024

Central to unlocking the potential of these frameworks is Striim, a platform that facilitates real-time data integration, analytics, and event processing, providing businesses can fully leverage their data. Data Fabric uses advanced technology, such as AI and machine learning, to automatically find, manage, and combine data.

Data Integration 52

Data Integration Government Data Data Governance 52

AltexSoft

MARCH 2, 2023

Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article. It’s crucial to differentiate between these terms as each plays a distinct role in ensuring the proper handling, use, and protection of data.

Data Governance 52

Data Governance Government Healthcare Programming 52

ProjectPro

JANUARY 19, 2022

More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. As a result, the role of data engineer has become increasingly important in the technology industry.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 72

Unstructured Data Data Lake Data Architecture Data 72

Cloudera

NOVEMBER 17, 2022

HBL has re-envisioned itself as a ‘Technology company with a banking license’, as it transforms into the bank of tomorrow – one which empowers its customers through digital enablement. We needed a solution to manage our data at scale, to provide greater experiences to our customers. See other customers’ success here .

Banking 82

Banking Management Data Lake Professional Services 82

Knowledge Hut

SEPTEMBER 22, 2023

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. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 30, 2020

Canada is looking to follow the European Union, California, and other jurisdictions around the world that are strengthening their data protection and privacy laws. Innovation Minister Navdeep Bainse has cited the coronavirus epidemic and the rapid increase of Canadians’ reliance on digital technology. . Founded by Dr. Ann Cavoukian ?,

Process 65

Process Designing Data Architecture Government 65

Knowledge Hut

SEPTEMBER 6, 2023

These certifications serve as concrete evidence of a professional's mastery, encompassing skills such as precise querying, data manipulation, database creation, and various data-related tasks. Skill Validation: Getting certified in a database shows the subject matter expertise of database technologies. Data Management 3.

Database 52

Database Certification MongoDB MySQL 52

Cloudera

SEPTEMBER 15, 2020

The main reason for this change is that this title better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. It delivers the same data management capabilities across all of these disparate environments.

Cloud 64

Cloud Government Data Healthcare 64

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

JANUARY 31, 2022

Extensive Network of Partners Data scientists leverage various tools, and the machine learning (ML) sector is continually expanding, with the release of new data science tools every year. By doing so, Snowflake has overcome one of the most significant constraints associated with traditional database technology.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Components of a Data Mesh. difficulty to achieve cross-organizational governance model).

Architecture 122

Architecture Metadata Government Kafka 122

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Databand.ai

JANUARY 24, 2023

DataOps is an automated, process-oriented methodology used by analytics and data teams to improve quality and reduce the cycle times of data and analytics. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.”

Retail 52

Retail Banking Government Manufacturing 52

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. DATA ANYWHERE. DATA SECURITY AND GOVERNANCE. INDUSTRY TRANSFORMATION.

Pharmaceutical 55

Pharmaceutical Recruitment Machine Learning Metadata 55

phData: Data Engineering

JULY 18, 2023

Yet, those that do achieve this level of maturity from their data stack are able to unlock breakthrough successes while leaving competitors years behind in innovation. Perhaps the largest roadblock of this data-driven utopia is the continued reliance on a patchwork of legacy, on-premise technologies like Teradata, Netezza, Oracle, etc.,

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

MAY 1, 2018

Zoomlion, the chinese construction machinery and sanitation equipment manufacturer adopted Cloudera’s big data platform to serve its growing big data needs. Zoomlion will use Cloudera’s big data platform to provide data management and analytic services to its customers in over 100 countries across 6 continents.

Hadoop 40

Hadoop Banking Healthcare Food 40

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. Databricks technology partners. Source: Databricks.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders. Business value acceleration.

Data Warehouse 78

Data Warehouse Data Governance Government Cloud 78