Hevo

APRIL 27, 2023

In today’s data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for informed decision-making. ” While they may sound […]

Raw Data 52

Raw Data Big Data Data Data Warehouse 52

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Raw data for hours 3 and 6 arrive. Let’s dive in!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. best suit our processed data? cleaning, formatting)?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Christophe Blefari

JANUARY 14, 2023

On the data processing side there is Polars, a DataFrame library that could replace pandas. How to land a job in progressive data — If you want to use your skills to Do Good you have to look at Brittany's post about progressive data. Let's have a quick look at it. seed round.

Python 130

Python Kafka Data Scala 130

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

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. Earlier we mentioned ETL or extract, transform, load.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Ascend.io

AUGUST 31, 2023

Read More: What is ETL? – (Extract, Transform, Load) ELT for the Data Lake Pattern As discussed earlier, data lakes are highly flexible repositories that can store vast volumes of raw data with very little preprocessing. 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

Databand.ai

AUGUST 30, 2023

Challenges of Legacy Data Architectures Some of the main challenges associated with legacy data architectures include: Lack of flexibility: Traditional data architectures are often rigid and inflexible, making it difficult to adapt to changing business needs and incorporate new data sources or technologies.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. The following figure shows a snapshot of VDK UI.

Data Process 78

Data Process Process Raw Data Data 78

Edureka

AUGUST 2, 2023

Data scientists can use SQL to write queries that get particular subsets of data, join various tables, perform aggregations, and use sophisticated filtering methods. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

The Modern Data Company

FEBRUARY 15, 2023

Animesh Kundera, co-founder and CTO of The Modern Data Company, distills these ideas down to “the four horsemen of data debt.” Administrators can govern data access through attribute-based controls, and IT users can get behind the scenes to build the apps and tools the company needs for big data processing.

Government 98

Government Data Governance Raw Data Data 98

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

AltexSoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Video explaining how data streaming works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 28, 2023

Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data. Structured data from databases, data warehouses, and operational systems. Goal Extracting valuable information from raw data for predictive or descriptive purposes.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

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.

Data Lake 87

Data Lake Data SQL Data Warehouse 87

Grouparoo

JANUARY 11, 2022

Typical applications are in scientific experimentation and observation processes where data consumers will not fully understand the nature of the data until after the completion of data processing and analysis. A data lake offers the ideal solution for storing such data of unknown relationships.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Databand.ai

JUNE 8, 2023

Better decision-making: Real-time insights into data processing allow for more informed decisions about resource allocation or process optimization. 5 Things You Must Monitor in a Data Pipeline To achieve observability, track specific metrics and events that provide insights into your pipeline’s functionality.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

ProjectPro

DECEMBER 7, 2021

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

DECEMBER 28, 2023

An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure. The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Grouparoo

NOVEMBER 29, 2021

The data source is the location of the data that the processing will consume for data processing functions. This can be the point of origin of the data, the place of its creation. Alternatively, this can be data generated by another process and then made available for subsequent processing.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

Cloudera

JANUARY 20, 2021

Balancing the edge: Understanding the right balance between data processing at the edge and in the cloud is a challenge, and this is why the entire data lifecycle needs to be considered. Data Collection Using Cloudera Data Platform. STEP 1: Collecting the raw data.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

U-Next

SEPTEMBER 9, 2022

This article outlines the true potential of automated Business Analytics and Data Analytics. . Analyzing business data for actionable insights is the objective of business analytics. The process involves taking raw data and transforming it into something that can improve decision-making analytics.

Business Analyst 40

Business Analyst Raw Data Business Intelligence Media 40

Knowledge Hut

JANUARY 19, 2024

Machine Learning Unpacking the process of making human language understandable to machines, including topics like regression analysis, Naive Bayes Algorithm, and more. Business Intelligence Transforming raw data into actionable insights for informed business decisions. Essential for data cleaning and transformation.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

The study of examining unprocessed data to draw inferences about such information is known as data analytics. Many data analytics methods and procedures have been mechanized into mechanical procedures and algorithms that operate on raw data for human consumption. Their final objective is data analysis.

Data Analytics 52

Data Analytics Business Analyst Raw Data Data Analysis 52

Ascend.io

SEPTEMBER 14, 2023

PySpark, for instance, optimizes distributed data operations across clusters, ensuring faster data processing. Python for Data Engineering Use Cases Data engineering, at its core, is about preparing “big data” for analytical processing.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

APRIL 25, 2024

The five Steps are: Data ingestion & Management Data Enrichment Analysis Data Visualization and Solution Integration Elements of Spatial Data Science Here we are exploring elements of spatial data science: 1. Big data processing is aided by using computer languages like Python, SQL, and R.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Workfall

JULY 18, 2023

In the vast realm of data engineering and analytics, a tool emerged that felt like a magical elixir. DBT , the Data Build Tool. Think of DBT as the trusty sidekick that accompanies data analysts and engineers on their quests to transform raw data into golden insights.

Datasets 77

Datasets Entertainment Data Workflow Data 77

ProjectPro

FEBRUARY 16, 2023

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52