Knowledge Hut

OCTOBER 3, 2023

In today's world, data reigns supreme as the ultimate asset. Businesses can significantly improve their decision-making processes when they collect and analyze the right and relevant data. Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. To address this problem Martin Traverso and his colleagues at Facebook built the Presto distributed query engine.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

JUNE 24, 2019

Summary Building a data platform that works equally well for data engineering and data science is a task that requires familiarity with the needs of both roles. Data engineering platforms have a strong focus on stateful execution and tasks that are strictly ordered based on dependency graphs.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Science 100

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

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 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. What does a data engineer do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Towards Data Science

DECEMBER 15, 2023

For a data scientist, there’s no such thing as too much data. Photo by Trnava University on Unsplash Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?”

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. 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.

IT 111

IT Unstructured Data Data Architecture Government 111

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. And don’t forget to thank them for their continued support of this show!

Building 100

Building Data Lake Data Warehouse SQL 100

Towards Data Science

OCTOBER 25, 2023

Not too long ago, almost all data architectures and data team structures followed a centralized approach. As a data or analytics engineer, you knew where to find all the transformation logic and models because they were all in the same codebase. There was only one data team, two at most.

Data Pipeline 82

Data Pipeline SQL Data Architecture Data 82

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Data Engineering Podcast

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.

Building 100

Building Data Analytics Media Data Engineering 100

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Data Engineering Podcast

SEPTEMBER 23, 2018

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. You work hard to make sure that your data is reliable and accurate, but can you say the same about the deployment of your machine learning models?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Data Engineering Podcast

NOVEMBER 18, 2019

Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

Data Engineering Podcast

NOVEMBER 11, 2019

Summary The practice of data management is one that requires technical acumen, but there are also many policy and regulatory issues that inform and influence the design of our systems. This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC.

Designing 100

Designing Data Pipeline Programming Language Data 100

Data Engineering Podcast

AUGUST 12, 2019

Summary The extract and load pattern of data replication is the most commonly needed process in data engineering workflows. Fivetran is a platform that does the hard work for you and replicates information from your source systems into whichever data warehouse you use. Integration of multiple data sources (e.g.

Media 100

Media Data Warehouse Data Big Data 100

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. How does it compare to the other available platforms for data warehousing?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council.

Data Pipeline 100

Data Pipeline Machine Learning Media Data 100

Data Engineering Podcast

OCTOBER 21, 2019

In this episode Dipti Borkar explains how the emerging category of data orchestration tools fills this need, some of the existing projects that fit in this space, and some of the ways that they can work together to simplify projects such as cloud migration and hybrid cloud environments.

Cloud 100

Cloud Data Lake Hadoop Programming Language 100

Data Engineering Podcast

OCTOBER 7, 2019

Summary The process of exposing your data through a SQL interface has many possible pathways, each with their own complications and tradeoffs. One of the recent options is Rockset, a serverless platform for fast SQL analytics on semi-structured and structured data. Visit Datacoral.com today to find out more.

Structured Data 100

Structured Data Cloud SQL Programming Language 100

Data Engineering Podcast

SEPTEMBER 2, 2019

Summary Data professionals are working in a domain that is rapidly evolving. To fulfill that need Pete Soderling and his team have been running the Data Council series of conferences and meetups around the world. Listen, I’m sure you work for a ‘data driven’ company – who doesn’t these days?

Building 100

Building Data Database Design Media 100

Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Podcast

JULY 28, 2019

Summary The ETL pattern that has become commonplace for integrating data from multiple sources has proven useful, but complex to maintain. For a small number of sources it is a tractable problem, but as the overall complexity of the data ecosystem continues to expand it may be time to identify new ways to tame the deluge of information.

Data Integration 100

Data Integration Metadata Media Architecture 100

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Data Engineering Podcast

OCTOBER 28, 2019

Summary Despite the fact that businesses have relied on useful and accurate data to succeed for decades now, the state of the art for obtaining and maintaining that information still leaves much to be desired. In an effort to create a better abstraction for building data applications Nick Schrock created Dagster.

Building 100

Building Data Pipeline Programming Language Metadata 100

Data Engineering Weekly

DECEMBER 29, 2022

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. How happy are you with your data catalogs?

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62