DataKitchen

MAY 10, 2024

Production: During the production cycle, oversee multi-tool and multi-data set processes, such as dashboard production and warehouse building, ensuring that all components function correctly and the correct data is delivered to your customers. Are all required data records and values present and accurate?

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Ascend.io

AUGUST 31, 2023

In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines. Their task is straightforward: take the raw data and transform it into a structured, coherent format.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Striim

NOVEMBER 17, 2023

Striim is the backbone of this integration, and having a working Striim instance is essential for setting up the data pipelines and connecting to your source databases. You should understand how to navigate the Striim environment, configure data sources, and set up data flows.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Snowflake

AUGUST 3, 2023

“Media companies need frequent access to valid data to keep the public up-to-date with what’s going on.” Verivox had been providing its press partners with data stored on a Secure File Transfer Protocol (SFTP) server. But this server required maintenance, and the data pipeline needed to be managed by the team, taking up valuable time.

Telecommunication 52

Telecommunication Insurance Raw Data Media 52

Data Engineering Weekly

FEBRUARY 26, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Identify and study the raw data. Sign up free to test out the tool today.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

FEBRUARY 16, 2023

ETL Architecture on AWS: Examining the Scalable Architecture for Data Transformation ETL Architecture on AWS typically consists of three components - Source Data Store A Data Transformation Layer Target Data Store Source Data Store The source data store is where raw data is stored before being transformed and loaded into the target data store.

AWS 52

AWS Data Management ETL Tools Management 52

Monte Carlo

AUGUST 31, 2023

Examples include: when the data arrived , how many rows were loaded , rate of NULL values, and more signals of unreliable data. The types of anomalies we detect are strong indications there is a broken data pipeline or other data quality issue that needs to be resolved (we help with that part too, but that’s beside the point).

SQL 64

SQL Data Science Machine Learning Algorithm 64

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 Data Cleanse 52

DataKitchen

OCTOBER 27, 2022

The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at various points in the process and measure. Have those thermometers check while your data and tools are running in production a few things, for example: Did the production process start?

Raw Data 52

Raw Data Data Pipeline Data Data Engineering 52

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. You’ll learn how to load, query, and process your data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JANUARY 14, 2017

Summary Do you wish that you could track the changes in your data the same way that you track the changes in your code? Pachyderm is a platform for building a data lake with a versioned file system. Why is this such an important capability in the context of data engineering and analytics?

Data Lake 100

Data Lake Raw Data Kafka Data Pipeline 100

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data. Join the CNCF Slack workspace.

Data Lake 83

Data Lake Data SQL Data Warehouse 83

Cloudera

DECEMBER 17, 2020

When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases.

Machine Learning 82

Machine Learning Data Science Data Pipeline Raw Data 82

Ascend.io

FEBRUARY 23, 2024

Most AI models have very similar interfaces for integrating into your data systems. This involves sophisticated data transformation capabilities, including ETL (extract, transform, load) processes, data cleaning, and normalization.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

ProjectPro

FEBRUARY 25, 2022

Data Ingestion Data Processing Data Splitting Model Training Model Evaluation Model Deployment Monitoring Model Performance Machine Learning Pipeline Tools Machine Learning Pipeline Deployment on Different Platforms FAQs What tools exist for managing data science and machine learning pipelines?

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Monte Carlo

JULY 5, 2023

Nasdaq’s data stack centers around a proprietary ingestion service the company built in 2013 – which means the team has been operating a data warehousing and lake solution in AWS for the better part of a decade. Monte Carlo is equipped with several features that make managing data quality an easy habit rather than a tedious task.

High Quality Data 52

High Quality Data Data Software Engineer Software Engineering 52

Ascend.io

SEPTEMBER 14, 2023

This feature enhances development speed, allowing data engineers to write and test scripts quickly — facilitating a more iterative and agile approach to data operations. Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Monte Carlo

AUGUST 31, 2023

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. But what happens when the data is wrong? In our opinion, data quality frequently gets a bad rep.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Data Engineering Podcast

DECEMBER 16, 2019

Dataform picks up where your ETL jobs leave off, turning raw data into reliable analytics. Their web based transformation tool with built in collaboration features lets your analysts own the full lifecycle of data in your warehouse. Dataform picks up where your ETL jobs leave off, turning raw data into reliable analytics.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Knowledge Hut

NOVEMBER 28, 2023

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Figure 3: The Value Pipeline (data operations) and the Innovation Pipeline (analytics development). The Data Journey. These pipelines cut across roles and organizations. Data Language: SQL.

Engineering 60

Engineering Raw Data SQL Data Engineering 60

Knowledge Hut

NOVEMBER 16, 2023

Some of these skills are a part of your data science expertise and the remaining as part of cloud proficiency. Data Pre-processing Data pre-processing is the preliminary step towards any data science application. Pre-processed data can then be utilised to perform data visualisations and training models for analysis.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Monte Carlo

DECEMBER 19, 2022

When it comes to data engineering, quality issues are a fact of life. Like all software and data applications, ETL/ELT systems are prone to failure from time-to-time. Among other factors, data pipelines are reliable if: The data is current, accurate, and complete. The data is unique and free from duplicates.

High Quality Data 52

High Quality Data Data SQL Bytes 52

Monte Carlo

APRIL 24, 2023

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. There are two primary types of raw data. Missed Nishith’s 5 considerations? Check out Part 1 of the build vs buy guide to catch up.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Monte Carlo

JUNE 28, 2022

Over the past several years, cloud data lakes like Databricks have gotten so powerful (and popular) that according to Mordor Intelligence , the data lake market is expected to grow from $3.74 Traditionally, data lakes held raw data in its native format and were known for their flexibility, speed, and open source ecosystem.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Monte Carlo

JULY 7, 2022

(Interestingly these three organizations share a need for near real-time data and have services that produce copious first-party event/transactional data). There is a communication chasm between service implementers, data engineers, and data consumers. Upstream data quality challenges that data contracts can solve.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Knowledge Hut

OCTOBER 8, 2023

You must be proficient in NoSQL and SQL for data engineers to help with database management. Data pipeline design - It's where you extract raw data from different data sources and export it for analysis. Data engineers must design efficient pipelines for easy transfer of data.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Ascend.io

AUGUST 22, 2023

The demands of building, scaling, and maintaining data pipelines have grown increasingly complex and error-prone. Data engineers are now drowning in repetitive tasks, aspiring to drive data-backed decisions. Traditional approaches to building these pipelines have showcased their vulnerabilities.

Data Pipeline 52

Data Pipeline Raw Data Bytes Transportation 52

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

DataKitchen

OCTOBER 2, 2023

The article illuminates how Data Journeys can enhance data governance, improve operational efficiency, and ultimately lead to organizational success by thoroughly examining different Data Journey types—’ Watcher,’ ‘Traveler,’ ‘Hub & Spoke,’ and ‘Payload.’ ’ What’s a Data Journey?

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Data Ingestion Data Government Datasets 40