Knowledge Hut

MAY 3, 2023

Did you know that data is now an essential component of modern business operations? With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Cleanse 98

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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ETL Tools IT Data Pipeline Data Warehouse 52

Data Engineering Podcast

JANUARY 15, 2022

Summary Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. Given this increased level of importance it has become necessary for everyone in the business to treat data as a product in the same way that software applications have driven the early 2000s.

Engineering 100

Engineering Electronics Data Pipeline ETL Tools 100

Monte Carlo

OCTOBER 16, 2024

Monte Carlo, the data observability leader, today announced new observability features for Azure Data Factory, Informatica, and Databricks Workflows. With the new release, Monte Carlo users can gain visibility into pipeline failures, lineage and pipeline performance – all in a single pane of glass.

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ETL Tools Data Pipeline Coding Data 40

Ascend.io

OCTOBER 28, 2024

What is Data Transformation? Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis. This understanding forms the basis for effective data transformation.

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Raw Data Datasets Aggregated Data Data Pipeline 52

Data Engineering Weekly

MAY 3, 2024

There is no underlying semantics for unit testing the code and data testing build-in. Lack of Dataops Support Data orchestration engines like Airflow are built on the underlying Python programming language semantics. Interactive Development The data asset building is an interactive process.

Programming Language 117

Programming Language ETL Tools Data Pipeline Coding 117

Hevo

MAY 30, 2023

The healthcare industry has seen an exponential growth in the use of data management and integration tools in recent years to leverage the data at their disposal. Unlocking the potential of “Big Data” is imperative in enhancing patient care quality, streamlining operations, and allocating resources optimally.

Healthcare 52

Healthcare Data Pipeline Building Big Data 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

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ETL Tools Hadoop Relational Database Unstructured Data 52

Monte Carlo

JULY 22, 2024

Data doesn’t just flow – it floods in at breakneck speed. How do we track this tsunami of changes, ensure data integrity, and extract meaningful insights? Data versioning is the answer. In this guide, we’ll explore how data versioning enhances our ability to capitalize on data even as information evolves rapidly.

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Metadata Datasets ETL Tools Data 52

Monte Carlo

OCTOBER 25, 2024

We’re the middle children of the data revolution, born into systems promised to be ‘set it and forget it,’ taught to believe that our pipelines would run forever. The first rule of data pipelines is: they will break. The second rule of data pipelines is: THEY WILL BREAK. They won’t.

Data Pipeline 52

Data Pipeline ETL Tools Cloud Systems 52

Monte Carlo

OCTOBER 8, 2024

In the world of data, there a lot of handoffs between various data stakeholders. But what’s the real difference between data stewards vs data analysts? The data steward makes sure everything is stored correctly, access is controlled, and the database doesn’t become a dumpster fire.

Data 52

Data Finance Data Governance Government 52

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. Modern platforms like Redshift , Snowflake , and BigQuery have elevated the data warehouse model.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Data Engineering Weekly

DECEMBER 18, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

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Data Engineer Data Engineering Engineering Food 67

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

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Data Cleanse Data Pipeline Datasets Data Validation 52

ProjectPro

FEBRUARY 16, 2023

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

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AWS Data Management ETL Tools Management 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 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.

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Data Engineer Data Engineering Engineering Data Lake 52

Monte Carlo

OCTOBER 10, 2024

One of the most underrated – but most important – roles emerging from the AI craze is AI Data Quality Analyst. As the use of AI becomes more ubiquitous across data organizations and beyond, data quality rises in importance right alongside it. Table of Contents What Does an AI Data Quality Analyst Do?

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Unstructured Data Google Cloud Machine Learning ETL Tools 52

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. What is Azure Data Factory? ADF itself does not save any data. So, let’s dive in!

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AWS Cloud Amazon Web Services ETL Tools 52

Meltano

OCTOBER 5, 2022

Interested in becoming a data engineer? The need for data experts in the U.S. job market is expected to grow by 22% in this decade, and according to LinkedIn’s 2020 report , a data engineer is listed as the 8th fastest growing job today. But what is data engineering exactly and what does a data engineer do?

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Data Engineer Data Engineering Engineering Raw Data 52

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. 2 I agree; permission is a mess.

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Data Engineer Data Engineering Engineering Pipeline-centric 52

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

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Data Engineer Data Engineering Engineering Data Warehouse 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.

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Data Science BI Business Intelligence Machine Learning 97

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. By employing these tools, teams can proactively detect issues before they become larger problems that affect business operations.

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Data Pipeline Data Lake Data Warehouse Datasets 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. Take precaution using CDSW as an all-purpose workflow management and scheduling tool. So which open source pipeline tool is better, NiFi or Airflow?

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ETL Tools Programming Language Datasets Data Pipeline 75

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.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Striim

NOVEMBER 7, 2022

We recently announced that Striim is a participant in Microsoft’s Intelligent Data Platform partner ecosystem. However, in order to make the most of Synapse and Power BI you need to reliably ingest data from disparate sources in real time. This reduces the time to value, and gets the data in the right format ahead of time.

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ETL Tools BI Java Data Pipeline 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

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Certification Data Engineer Data Engineering Engineering 52

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.

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Data Engineer Data Engineering Engineering Cloud Computing 52

Data Engineering Weekly

JANUARY 6, 2023

Author: Chris Ricommni Recap Github: [link] [Don't forget to star it] I’m excited to release Recap , a dead simple data catalog for engineers written in Python. Recap makes it easy for engineers to build infrastructure and tools that need metadata. Unlike traditional data catalogs, Recap is designed to power software.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40

Edureka

JULY 5, 2024

Proper data pre-processing and data cleaning in data analysis constitute the starting point and foundation for effective decision-making, though it can be the most tiresome phase. simultaneously making raw data efficient to form insights. What is Tableau Prep ?

Data Preparation 40

Data Preparation Process BI ETL Tools 40

Monte Carlo

AUGUST 8, 2023

The Definitive Guide to Data Validation Testing Data validation testing ensures your data maintains its quality and integrity as it is transformed and moved from its source to its target destination. It’s also important to understand the limitations of data validation testing.

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Data Validation Data Pipeline SQL Data 52

Silectis

DECEMBER 15, 2020

If you’ve been following along with Silectis over the past couple of years, you are familiar with our data engineering platform, Magpie. You’re aware of the many outcomes it puts at the fingertips of data engineers, and teams of data practitioners more largely. The time to identify more insights out of huge sets of data.

Data Engineer 52

Data Engineer Data Engineering Engineering ETL Tools 52

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. This transformation could involve cleaning, aggregating, or summarizing the data.

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Data Cleanse Raw Data Data Storage Data Warehouse 52