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Data Architecture Data Engineer Unstructured Data 
Towards Data Science
DECEMBER 4, 2023
A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!
Snowflake
NOVEMBER 11, 2024
At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Florida State University has been using Document AI to efficiently extract data from PDFs and third-party sources, which simplifies data auditing and eliminates weeks’ worth of manual effort.
Monte Carlo
OCTOBER 31, 2024
One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?
Data Engineering Weekly
MARCH 3, 2024
Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering.
Cloudera
JUNE 7, 2022
In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.
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Monte Carlo
FEBRUARY 21, 2023
Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.
Monte Carlo
FEBRUARY 21, 2023
Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.
Cloudera
FEBRUARY 15, 2024
Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.
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Knowledge Hut
JUNE 23, 2023
Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.
Knowledge Hut
MARCH 28, 2024
Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.
Silectis
JANUARY 3, 2021
If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.
ProjectPro
JANUARY 19, 2022
Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.
AltexSoft
FEBRUARY 11, 2023
This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.
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. Contents: What is the role of an Azure Data Engineer?
Knowledge Hut
NOVEMBER 28, 2023
The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.
Data Engineering Weekly
SEPTEMBER 18, 2024
Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources. This opens up new possibilities for monitoring and diagnosing data issues across various sources. to work together.
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Knowledge Hut
SEPTEMBER 22, 2023
In the clamour for data scientists, nobody, however, emphasizes the importance of a data engineer. One of the most sought-after career positions in the Microsoft Azure ecosystem is an Azure data engineer. Also included in the conversation would be information on the benefits of choosing a career as a data engineer.
Snowflake
NOVEMBER 2, 2023
And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture.
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Cloudera
MARCH 17, 2023
As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.
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ProjectPro
JUNE 9, 2021
This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?
Databand.ai
DECEMBER 13, 2022
The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.
ProjectPro
FEBRUARY 21, 2023
With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?
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.
phData: Data Engineering
NOVEMBER 8, 2024
Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. The first insert statement loads data having c_custkey between 30001 and 40000 – INSERT INTO ib_customers2 SELECT *, '11111111111111' AS HASHKEY FROM snowflake_sample_data.tpch_sf1.customer
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RandomTrees
SEPTEMBER 27, 2024
Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.
Monte Carlo
APRIL 1, 2021
Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp. Here’s why some of the best data engineering teams are rethinking their approach to building data catalogs — and what types of data discovery platforms data lakes need instead.
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Monte Carlo
AUGUST 31, 2023
In many ways, the cloud makes data easier to manage, more accessible to a wider variety of users, and far faster to process. Not long after data warehouses moved to the cloud, so too did data lakes (a place to transform and store unstructured data), giving data teams even greater flexibility when it comes to managing their data assets.
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Monte Carlo
JUNE 14, 2023
For example, data may be extracted from multiple sources, reorganized, and joined at different times before ultimately being served to its final destination. Why is data pipeline architecture important? Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.
Snowflake
JUNE 28, 2023
Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake.
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Knowledge Hut
APRIL 26, 2024
Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.
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Snowflake
APRIL 5, 2023
With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.
Knowledge Hut
NOVEMBER 28, 2023
This means that even the data scientist salary for freshers in India is pretty high, and it only gets higher with more experience. Data scientists and other data-related jobs such as data analyst and data engineers are also getting great salary packages from various companies that want to hire them.
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ProjectPro
DECEMBER 7, 2021
In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?
Knowledge Hut
SEPTEMBER 26, 2023
Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.
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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.
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Databand.ai
JULY 19, 2023
This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.
ProjectPro
NOVEMBER 14, 2015
From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2. Data Integration Businesses seldom start big. Streaming analytics is a real-time analysis of data streams that must (almost instantaneously) report abnormalities and trigger suitable actions.
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AltexSoft
AUGUST 29, 2023
Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.
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Ascend.io
AUGUST 31, 2023
In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Shifting between these two patterns usually involves migration to new tooling to acquire data from sources.
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phData: Data Engineering
NOVEMBER 1, 2024
Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems.
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Knowledge Hut
MARCH 26, 2024
Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.
ProjectPro
JANUARY 31, 2023
Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.
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AltexSoft
NOVEMBER 10, 2021
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. What is a data lakehouse? Traditional data warehouse platform architecture.
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Knowledge Hut
SEPTEMBER 6, 2023
They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. Skills acquired : Core data concepts. Data storage options. So, choose wisely.
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