phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

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Data Lake Process Metadata Data Warehouse 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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Data Lake Architecture IT Amazon Web Services 52

Towards Data Science

APRIL 17, 2023

Data teams are more important than ever before — but they need to get closer to the business. Over the past decade, data teams have been simultaneously underwater and riding a wave. Don’t get me wrong: I’m a firm believer in the modern data stack. The modern data stack menu. For data teams, the bill has come due.

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Data Data Engineering Data Engineer Engineering 97

Knowledge Hut

JUNE 30, 2023

Businesses need cloud technologies to host their web applications and run their operations. Google Cloud is one of the leading cloud computing platforms in the world. The best certification to pursue novices is Google Cloud Engineer - Associate. Why Choose a Google Cloud Career?

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

Big Data 52

Big Data Certification Hadoop Scala 52

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

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Process Data Process Pharmaceutical Data Lake 98

Ascend.io

JUNE 21, 2023

Creating business value from the onslaught of data can feel like captaining a high-tech vessel through uncharted waters. Data teams across business areas are cranking out data sets in response to impatient business requests, while simultaneously trying to build disparate DataOps processes from scratch.

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Monte Carlo

APRIL 13, 2023

Over the past decade, data teams have been simultaneously underwater and riding a wave. We’ve been building modern data stacks, migrating to Snowflake like our lives depended on it, investing in headless BI, and growing our teams faster than you can say reverse ETL. Don’t get me wrong: I’m a firm believer in the modern data stack.

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Data BI Engineering Data Engineering 59

Monte Carlo

AUGUST 17, 2022

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world. The stakes also get higher.

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Systems Building Data Data Engineering 52

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 Engineer vs Data Scientist: Which is better?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

AUGUST 13, 2019

Organizations speak of operational reporting and analytics as the next technical challenge in improving business processes and efficiency. We’ll look at what it takes to build operational dashboards and reporting using standard data visualization tools, like Tableau , Grafana , Redash , and Apache Superset.

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BI NoSQL PostgreSQL AWS 40

Knowledge Hut

JANUARY 24, 2024

Step into the realm of data visualization with a comprehensive exploration of Power BI and Tableau. In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. We want to assist you in choosing the best option for what you need. Utilizing Power BI is simple.

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BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. What Is Big Data Analytics? Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Knowledge Hut

DECEMBER 26, 2023

BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. Data analysis is carried out by business intelligence platform tools, which also produce reports, summaries, dashboards, maps, graphs, and charts to give users a thorough understanding of the nature of the business.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. Who needs a BI reporting dashboard anyways?

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Monte Carlo

FEBRUARY 8, 2024

Data observability has been one of the hottest emerging data engineering technologies the last several years. This momentum shows no signs of stopping with data quality and reliability becoming a central topic in the data product and AI conversations taking place across organizations of all types and sizes.

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BI Data Pipeline Data Warehouse Data 59

Edureka

JUNE 1, 2023

In today’s digital era, businesses operate in a data-driven environment where data is generated at an unprecedented rate. This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data.

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AWS Data Analytics Cloud Amazon Web Services 52

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. When you migrate to the cloud, you want to gain agility through real measurable improvements in your analytics development projects .

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Data Warehouse Cloud Government Metadata 87

Ascend.io

APRIL 5, 2023

The data landscape evolves at an astonishing pace. New tech, new best practices, and new roles are constantly emerging and changing the way teams create value from data. Over the last few years, tools and platforms in the data space have been removing the burden of managing and maintaining outdated architectures and codebases.

Engineering 52

Engineering Raw Data BI Software Engineer 52

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? Cloudera Data Warehouse (CDW) is here to save the day!

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IT Data Lake Data Warehouse Cloud Storage 93

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. In this phase, data is collected from various sources.

Data Cleanse 52

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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. What Are Azure Data Engineer Tools?

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Data Engineering Data Engineer Engineering PostgreSQL 52

Snowflake

JANUARY 23, 2023

Marketing data integration is the process of combining marketing data from different sources to create a unified and consistent view. If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. What Problems does Data Integration Solve?

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Data Integration Data Data Warehouse Business Analyst 57

AltexSoft

OCTOBER 30, 2021

Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. Data science vs data engineering.

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Data Engineering Data Engineer Engineering Algorithm 98

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? What is data pipeline architecture?

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Data Pipeline Architecture Data Lake Data Warehouse 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

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

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Data Lake Data Warehouse Cloud Unstructured Data 92

Monte Carlo

JANUARY 6, 2023

Understanding and aligning with each business domain’s unique incentives and workflows is what ultimately makes data teams not just efficient, but great. This article will examine how data teams can better conduct product experimentation and better align with product teams. A data-informed product strategy 2. Experimentation 4.

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Building Project BI Data 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. What is ELT? The ELT workflow. Scalability.

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Process Building Raw Data Data Lake 52

Edureka

SEPTEMBER 11, 2023

The huge amount of data created every second is one of the main reasons for this complexity. Businesses have more data than ever, including how customers interact with them and what they do on social media, as well as how much inventory they have and how much money they make. How to Pick the Right BI Platform?

Business Intelligence 52

Business Intelligence BI Database-centric Raw Data 52

Knowledge Hut

APRIL 19, 2023

In today's data-driven world, businesses need to extract, transform, and load data from multiple data sources because of the large amount of data which businesses generate. An ETL pipeline is one of the most common solutions for the efficient processing of large data. What is ETL?

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Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Rockset

JUNE 21, 2022

The two systems complement each other well, with Snowflake designed to process large volumes of historical data and Rockset built to provide millisecond-latency queries , even when tens of thousands of users are querying the data concurrently. What’s Needed for Real-Time Analytics?

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Kafka Data Warehouse BI Analytics Application 52

Edureka

FEBRUARY 27, 2023

Business intelligence (BI) collects, analyzes, and displays data to help businesses make better decisions. The use of BI has become more widespread in recent years as businesses have become more data-driven. Data warehouses typically contain historical data that can be used to track trends over time.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

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Process Kafka Government Big Data 68

Ascend.io

JULY 17, 2023

If you work with data, you’ll have come across the term data mesh by now. This decentralized but interconnected approach to structuring data has become increasingly popular since the term was coined by Zhamak Dehghani 4 years ago. Data Mesh: 101 First, a quick primer on the data mesh concept. The end result?

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Datasets Telecommunication Architecture Government 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

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