Data Engineering Weekly

JUNE 4, 2023

link] LakeFs: How to Implement Write-Audit-Publish (WAP) I wrote extensively about the WAP pattern in my latest article, An Engineering Guide to Data Quality - A Data Contract Perspective. The author writes an exciting article about adopting unit testing in the data pipeline by producing sample tables during the development.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Precisely

MARCH 9, 2023

Data warehouse vs. data lake, each has their own unique advantages and disadvantages; it’s helpful to understand their similarities and differences. In this article, we’ll focus on a data lake vs. data warehouse. They may want to look at those numbers on a daily or weekly basis.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

Monte Carlo

FEBRUARY 15, 2023

Data analysts and engineers can run the queries they want to run when they want to run them without worrying about excessive load times or statement timeouts. Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics?

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 58

Data Warehouse Unstructured Data Medical Pharmaceutical 58

Knowledge Hut

DECEMBER 13, 2023

Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market. This article will discuss the top big data consulting companies , big data marketing companies , big data management companies and the biggest data analytics companies in the world.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Snowflake

MARCH 30, 2023

Schema drift on a wide table structure needs an ALTER TABLE statement, whereas the tall table structure does not. The same information mart data modelling technique is used to select the features you need to support an ML model as a feature view. These methods can be applied to structured and semi-structured data as well.

Engineering 83

Engineering Raw Data Data Science Scala 83

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 117

Generalist Telecommunication Healthcare Data 117

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Specification of access conditions for specific users and groups.

Cloud 71

Cloud Data Lake Cloud Storage Metadata 71

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

AltexSoft

OCTOBER 25, 2021

This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Some of it is structured , or organized into specific fields of an EHR. Unstructured data is unavoidable, yet extremely valuable. The many healthcare factors hidden in unstructured data.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. Data Requirements ML models typically require more labelled training data to achieve good performance.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Ascend.io

NOVEMBER 21, 2023

Yet, looking into the complexities of today’s data-driven world, it becomes clear that ELT, while transformative at its inception, now forms just a part of an ever-evolving data landscape. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

U-Next

SEPTEMBER 29, 2022

What Is a Data-Driven Culture? . Data on a daily basis surround us. As data becomes more accessible, companies are leveraging it to grow and make an impact. The importance of data today cannot be overstated. Having a data-driven culture is essential for organizations’ survival and growth. .

Management 52

Management Unstructured Data Data Government 52

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Metadata Government Kafka 124

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

NOVEMBER 1, 2023

This article explains what named entity recognition is, its working principles, and how it is used in real life. A corpus can range from a set of news articles to academic journals or even social media posts. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

AltexSoft

SEPTEMBER 23, 2021

Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. Data lake vs data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

JULY 19, 2023

For small data teams building their first cloud-native platforms and teams making the jump from on-prem for the first time, it’s essential to bias those layers that will have the most immediate impact on business outcomes. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 96

Building Business Intelligence Cloud Storage BI 96

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Who has access to it?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Towards Data Science

JULY 21, 2023

For small data teams building their first cloud-native platforms and teams making the jump from on-prem for the first time, it’s essential to bias those layers that will have the most immediate impact on business outcomes. However, this won’t simply be where you store your data — it’s also the power to activate it.

Building 79

Building Business Intelligence BI Cloud Storage 79

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. For every data unit, the NameNode has to store metadata with names, access rights, locations, and so on.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Edureka

DECEMBER 21, 2023

It integrates Google’s powerful search engine, allowing it to access recent information, making it stand out for up-to-date responses. Bard seeks to provide fresh, high-quality responses, making complex information easily understandable and accessible for users, and is one of the most prominent ChatGPT competitors.

Media 40

Media Education Accessible Accessibility 40

Monte Carlo

JANUARY 27, 2024

For small data teams building their first cloud-native platforms and teams making the jump from on-prem for the first time, it’s essential to bias those layers that will have the most immediate impact on business outcomes. However, this won’t simply be where you store your data—it’s also the power to activate it.

Building 52

Building Business Intelligence Cloud Storage BI 52

AltexSoft

AUGUST 4, 2021

Some sweets are presented on your display cases for quick access while the rest is kept in the storeroom. Now let’s think of sweets as the data required for your company’s daily operations. You’ll also find out about the key types of data marts, their structure schemas, implementation steps, and more.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. So, it’s not real-time data. Pricing starts at $0.25

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

When it comes to learning more about it, Big Data books help us learn the various aspects of big data, be it big data management, analytics, data fundamentals, ethics, etc. In this article, you will learn in detail about big data books as per your learning needs.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

U-Next

OCTOBER 27, 2022

Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. You can easily access as many resources as you require and only pay for those that you utilize. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

AltexSoft

AUGUST 22, 2022

So, instead of replacing or rebuilding the existing infrastructure, you add a new, ML-powered abstraction layer on top of the underlying data sources, enabling various users to access and manage the information they need without duplication. Data fabric architecture example. Unified data access.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Key features of a data lakehouse. Unstructured and streaming data support.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52