Ascend.io

DECEMBER 19, 2023

We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. But first, a disclaimer.

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ProjectPro

FEBRUARY 8, 2023

ETL stands for Extract, Transform, and Load, which involves extracting data from various sources, transforming the data into a format suitable for analysis, and loading the data into a destination system such as a data warehouse. ETL developers play a significant role in performing all these tasks.

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ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

OCTOBER 31, 2023

Businesses are increasingly depending on cloud platforms to manage and analyze their data in today's data-driven environment. Two of the most well-known cloud service providers, Amazon Web Services (AWS) and Microsoft Azure, provide reliable data engineering solutions. How Are They Similar?

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Data Engineering Data Engineer AWS Engineering 52

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform. Check out the AWS Tutorial for further details.

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AWS Data Warehouse Amazon Web Services Business Intelligence 40

Grouparoo

OCTOBER 26, 2021

This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes. This may include a data warehouse when it’s necessary to pipeline data from your warehouse to various destinations as in the case of a reverse ETL pipeline.

Data Pipeline 52

Data Pipeline ETL Tools Data Warehouse ETL System 52

Data Engineering Weekly

DECEMBER 29, 2022

era of Data Catalog Let’s call the pre-modern era; as the state of Data Warehouses before the explosion of big data and subsequent cloud data warehouse adoption. era of Data Catalog Hadoop significantly reduced the barrier to storing and accessing large volumes of data.

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Metadata Data Warehouse ETL Tools Data Workflow 62

Knowledge Hut

MAY 3, 2023

Data Engineer vs Data Analyst: Role Data engineers are in charge of planning, constructing, and managing the data infrastructure, including data platforms, pipelines, and warehouses. They are specialists in database management systems, cloud computing, and ETL (Extract, Transform, Load) tools.

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Data Engineering Data Engineer Engineering Data Cleanse 98

Snowflake

FEBRUARY 7, 2023

Event data for tracking a user’s journey has always been important to product analytics—but we’re now seeing changes in how businesses work with and manage their data, including event data. This movement has largely been driven by the disruptive impact of the cloud.

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BI Building ETL Tools Data Warehouse 83

ProjectPro

JANUARY 27, 2023

Over the past few years, data-driven enterprises have succeeded with the Extract Transform Load (ETL) process to promote seamless enterprise data exchange. This indicates the growing use of the ETL process and various ETL tools and techniques across multiple industries.

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BI ETL Tools Retail Healthcare 52

Data Engineering Podcast

JANUARY 15, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. And don’t forget to thank them for their continued support of this show!

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Engineering Electronics Data Pipeline ETL Tools 100

Edureka

AUGUST 29, 2024

For small companies, the data engineer holds a generalist position where he basically does all it. In big organizations, they would focus on pipeline building or play a Data Warehouse Manager. Why Choose Data Engineering as a Career? Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data.

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Data Engineering Data Engineer Engineering Generalist 40

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

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Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

APRIL 19, 2023

It is the process of extracting data from various sources, transforming it into a format suitable for analysis, and loading it into a target database or data warehouse. ETL is used to integrate data from different sources and formats into a single target for analysis. What is an ETL Pipeline?

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Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

AltexSoft

AUGUST 4, 2021

Now let’s think of sweets as the data required for your company’s daily operations. Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit.

Data Lake 64

Data Lake Data Warehouse ETL Tools Database 64

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

Meltano

OCTOBER 5, 2022

Meltano is a DataOps platform that enables data engineers to streamline data management and keep all stages of data production in a single place. Analysis While data engineers don’t typically analyze data, they can prepare the data for analysis for data scientists and business analysts to access and derive insights.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Edureka

SEPTEMBER 3, 2024

Moving databases to the cloud can be a really challenging and risky process, and it can also interrupt business processes. But if the right tools and services are employed, a lot of time is saved and the process is made easy. Therefore, let’s begin and demystify how AWS DMS can help with your cloud migration process.

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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.

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Ascend.io

OCTOBER 28, 2024

Ascend is a compelling option for managing these integration workflows, offering automation and scalability to streamline data integration tasks. With its capabilities, users can efficiently extract data from various databases, reconcile differences in formats, and load the integrated data into a data warehouse or other target systems.

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Raw Data Datasets Aggregated Data Data Pipeline 52

Knowledge Hut

NOVEMBER 17, 2023

Additionally, they convert data into formats that can be used and store it effectively and securely in the Azure cloud. The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Grouparoo

DECEMBER 14, 2021

ETL, or Extract, Transform, Load, is a process that involves extracting data from different data sources , transforming it into more suitable formats for processing and analytics, and loading it into the target system, usually a data warehouse. ETL data pipelines can be built using a variety of approaches.

Process 52

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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. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Grouparoo

FEBRUARY 9, 2022

Today, organizations are adopting modern ETL tools and approaches to gain as many insights as possible from their data. However, to ensure the accuracy and reliability of such insights, effective ETL testing needs to be performed. So what is an ETL tester’s responsibility? Data integration testing.

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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.

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Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JANUARY 30, 2024

This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins. The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP).

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ETL Tools Database-centric Data Mining Raw Data 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Edureka

JULY 5, 2024

Tableau Prep has brought in a new perspective where novice IT users and power users who are not backward faithfully can use drag and drop interfaces, visual data preparation workflows, etc., simultaneously making raw data efficient to form insights. Excel), a cloud server (e.g., BigQuery), or another data storage solution.

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Data Preparation Process BI ETL Tools 40

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. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Edureka

JULY 4, 2024

Frustrated due to that cumbersome big data? Overwhelmed with log files and sensor data? It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Is Amazon EMR an ETL tool?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Databand.ai

JULY 5, 2023

They provide insights into the health of data integration processes, detect issues in real-time, and enable teams to optimize data flows. Data lake and data warehouse monitoring: These tools monitor the performance, storage, and access patterns of data lakes and data warehouses, ensuring optimal performance and data availability.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

AltexSoft

AUGUST 29, 2023

The term data lake itself is metaphorical, evoking an image of a large body of water fed by multiple streams, each bringing new data to be stored and analyzed. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

ProjectPro

NOVEMBER 30, 2021

That's where the ETL (Extract, Transform, and Load) pipeline comes into the picture! Table of Contents What is ETL Pipeline? First, we will start with understanding the Data pipelines with a straightforward layman's example. Now let us try to understand ETL data pipelines in more detail.

Process 52

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Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Recommended Training and Certification When you are searching for the training institute for DP-203 Data Engineering on Microsoft Azure keep a few things in mind.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

AltexSoft

OCTOBER 8, 2021

Data integration defines the process of collecting data from a number of disparate source systems and presenting it in a unified form within a centralized location like a data warehouse. So, why is data integration such a big deal? On-premise data integration tools. Cloud-based data integration tools.

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Knowledge Hut

DECEMBER 26, 2023

Oracle Analytics Cloud Oracle Analytics Cloud is one of the most powerful AI-driven systems available, which brings us back to genuine analytics. With the help of the company's "augmented analytics," you can ask natural-language inquiries and receive informative responses while also applying thoughtful data preparation.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Monte Carlo

APRIL 4, 2023

With today’s announcement, Monte Carlo becomes the first data company to bring data observability to the entire orchestration layer, this coming after integrations with Airflow, dbt Core and dbt Cloud were announced in 2022.

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