Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Snowflake

JULY 24, 2023

To help fulfill its automation ambitions and deliver greater efficiency, consistency, and accuracy across its financial processes, Fortum needed a cross-functional data solution that could combine data from multiple sources and different lines of business.

Building 52

Building Engineering Finance Data Lake 52

Towards Data Science

FEBRUARY 9, 2024

Fivetran still seems like the undeniable leader in the managed ETL category, but it has some stiff competition via up & comers like Airbyte and big cloud providers that have been strengthening their platform offerings. There are many ideas in this article but ultimately the choice is yours.

Building 80

Building Transportation Data Lake Metadata 80

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

SEPTEMBER 26, 2023

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

Data infrastructure, data warehousing, data mining, data modelling, and other tasks are all part of a company’s data science programme, and data engineers are in charge of the majority of them. Microsoft Azure is a modern cloud platform that provides a wide range of services to businesses.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 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. Cloud Innovation. And this year has seen some truly remarkable work put forward.

Banking 76

Banking Data Lake Telecommunication Data 76

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

SEPTEMBER 21, 2023

At the heart of it, an Azure Data Engineer is a data professional who creates and maintains complex systems to collect, store, and analyze big data for organizations. We are the architects of data, ensuring its integrity, security, and accessibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Striim

AUGUST 31, 2023

Treating batch and streaming as separate pipelines for separate use cases drives up complexity, cost, and ultimately deters data teams from solving business problems that truly require data streaming architectures. Finally, kappa architectures are not suitable for all types of data processing tasks.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

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

Knowledge Hut

OCTOBER 3, 2023

Microsoft Azure stands out as a prominent contender in the field of cloud computing. In 2022, Azure had a market share of 23 percent, making it the market’s second most popular cloud infrastructure merchant. money spent by end users on cloud services is estimated to grow from $490.3 As per Gartner, Inc., billion in 2023.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

APRIL 25, 2024

Common dashboard templates Standard power bi dashboard templates already speed up the design process and enable users to import historical and current data. Connections to Data Sources To combine data from many sources for analysis, BI Dashboards can link to Data Warehouses, Data Marts, Data Lakes, Operating Systems, etc.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Knowledge Hut

OCTOBER 5, 2023

When it comes to cloud computing and big data, Amazon Web Services (AWS) has emerged as a leading name. As businesses’ reliance on cloud and big data increases, so does the demand for professionals who have the necessary skills and knowledge in AWS.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Monte Carlo

MARCH 24, 2023

And not just that, many organizations are now even launching cloud to cloud migrations as they consolidate services or optimize their infrastructure. On the face of it, data migration should be fairly straightforward – just pick up your data and move it where it needs to go. How will you communicate with your end users?

Data Warehouse 52

Data Warehouse AWS Cloud Data Governance 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JANUARY 19, 2022

Data infrastructure, data warehousing, data mining, data modeling, etc., are part of a company's data science program, and data engineers handle most of these tasks. Microsoft Azure is a modern cloud platform that offers businesses a wide range of services.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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 Data Governance 40

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. 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.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Edureka

FEBRUARY 6, 2023

In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. It consists of five modules: Fundamental Big Data, Fundamental Big Data Architecture, Advanced Big Data Architecture, Big Data Analysis & Technology Concepts, and Big Data Architecture Lab.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires. Source : [link] ) Strata + Hadoop World: MapR Edge, Zaloni Data Lake in a Box, and Dell EMC Ready Bundle for Hortonworks Hadoop.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40

ProjectPro

MAY 2, 2017

IBM has partnered with Hortonworks which certifies Spectrum Scale so that customers will have more confidence in theri storage solutions. Source : [link] ) Hadoop: the rise of the modern data lake platform.Information-age.com, April 5, 2017. Source : [link] ) PREVIOUS NEXT <

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

AUGUST 25, 2016

In an exponentially growing world of big data, Accenture offers big data solutions to several companies by exploring, experimenting and implementing analytics solutions to drive meaningful business outcomes.

Hadoop 40

Hadoop Data Lake Big Data Programming Language 40

ProjectPro

JULY 1, 2016

Computerweekly.com Datadog, a leading firm that provides cloud monitoring as a service has announced its support for Hadoop framework for processing large datasets across a cluster of computers. These Hadoop distributions now adhere to a specific set of expectations to run big data solutions. June 6, 2016.Computerweekly.com

Hadoop 40

Hadoop Big Data Data Lake Datasets 40

ProjectPro

MAY 23, 2015

Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 21, 2015

What are the steps involved in deploying a big data solution? More than the volume of the data – it is the nature of the data that defines whether it is considered as Big Data or not. More data needs to be substantiated. Testing large datsets requires automation.

Hadoop 40

Hadoop Big Data Metadata Java 40