Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. As you do not want to start your development with uncertainty, you decide to go for the operational raw data directly.

Systems 76

Systems Raw Data Metadata Data Cleanse 76

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

ThoughtSpot

SEPTEMBER 6, 2023

That’s why ThoughtSpot and Fivetran are joining forces to decrease the amount of time, steps, and effort required to go from raw data to AI-powered insights. SpotApps are designed to accelerate your analytics experience—making it easier to build data models, analyze real-time data, and find AI-powered insights.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Ascend.io

JANUARY 2, 2024

In this article, we explore how to build a data pipeline from the ground up in six steps. Recognizing the complexities inherent in this process, we also introduce a framework designed to simplify and streamline the entire pipeline construction process, boosting efficiency and scalability along the way. What Is a Data Pipeline?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 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. link] Summary Congratulations!

Data Process 72

Data Process Process Raw Data Data 72

Data Engineering Podcast

DECEMBER 11, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! How does the design of Unomi reduce that burden? Why is access to raw data so important ?

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

DataKitchen

AUGUST 19, 2021

For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM!

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

Knowledge Hut

APRIL 25, 2024

Charts and graphs are combined in the business intelligence dashboard design to give viewers a comprehensive view of the scenario they are studying. By displaying the metrics pertinent to its role, industry, or platform, BI dashboard tools adapt to the demands of the individuals designing them rather than having a fixed, predetermined nature.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Edureka

JUNE 13, 2024

Steps to Enable Folding Power BI Query Folding in Power BI example : Connect Power BI to a data source: To execute a Query Folding in Power BI , one must have a linked data source compatible with the Query Folding feature of Power BI. For this demonstration, I will incorporate the usage of Microsoft Access Database.

BI 52

BI Raw Data SQL Database 52

Towards Data Science

FEBRUARY 9, 2024

Data Store Another significant change from 2021 to 2024 lies in the shift from “Data Warehouse” to “Data Store,” acknowledging the expanding database horizon, including the rise of Data Lakes. Streamlit has been so impressive that Snowflake acquired the company for nearly $1B in 2022.

Building 76

Building Transportation Data Lake Metadata 76

Hepta Analytics

FEBRUARY 14, 2022

We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design. When the business intelligence needs change, they can go query the raw data again. The purpose of the data is not determined.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

The Modern Data Company

MARCH 1, 2024

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

Database-centric 40

Database-centric Data Lake Government Retail 40

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

RandomTrees

NOVEMBER 29, 2023

In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems. The use of traditional 3 NF of Bill Inmon in the relational model and Ralf Kimball’s Star Schema design for the OLAP would be a bit outdated.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Ascend.io

AUGUST 22, 2023

This empowers them with capabilities unattainable in traditional setups, including reduced maintenance, optimized performance, and diminished dependency on data engineering professionals. Mirroring this instantaneous reaction, automated data pipelines are designed to adapt to real-time changes.

Data Pipeline 52

Data Pipeline Raw Data Bytes Transportation 52

Knowledge Hut

OCTOBER 4, 2023

Fortunately, I have come across the premium Microsoft Power BI certification , which is exactly designed for professionals like me to learn at our own pace. While the numbers are impressive (and a little intimidating), what would we do with the raw data without context? Setting up effective data models requires a perfect layout.

BI 52

BI Systems Raw Data Business Intelligence 52

Monte Carlo

JUNE 28, 2022

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. billion in 2020 to 17.60 billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Databand.ai

JULY 19, 2023

Often, the extraction process includes checks and balances to verify the accuracy and completeness of the extracted data. The Load Phase After the data is extracted, it’s loaded into a data storage system in the load phase. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 83

Engineering Raw Data Data Science Scala 83

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? Zero ETL is a bit of a misnomer.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 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. Knowledge of data integration patterns and techniques using Azure services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

SEPTEMBER 27, 2023

However, depending on the intricacy of the data and calculations, performance may vary Visualization QuickSight has different varieties of basic visualizations that make it simple to create visually appealing charts, graphs, and dashboards. Users can design interactive reports with rich images, allowing for excellent data storytelling.

BI 52

BI AWS Database-centric Data Lake 52

Ascend.io

DECEMBER 11, 2023

When data is infrequently updated or accessed, it’s possible to utilize raw data directly to fulfill business objectives, provided that cost and performance metrics are met. However, this approach quickly shows its limitations as data volume escalates.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Monte Carlo

MAY 30, 2023

Initially developed by Netflix and later donated to the Apache Software Foundation, Apache Iceberg is an open-source table format for large-scale distributed data sets. It’s designed to improve upon the performance and usability challenges of older data storage formats such as Apache Hive and Apache Parquet.

Metadata 52

Metadata Raw Data Data Lake Data 52

Snowflake

MARCH 13, 2023

Architecture designed to empower more clients Gem’s cybersecurity platform starts with raw data ingestion from its clients’ cloud environments. Gem uses the fully-managed Snowpipe service, allowing it to stream and process source data in near-real time. Pushing and scaling are super smooth.

Cloud 52

Cloud Building Data Ingestion AWS 52

Databand.ai

AUGUST 30, 2023

Faster data processing: By automating data workflows and leveraging modern data processing technologies, DataOps architecture accelerates data ingestion, transformation, and analysis. They include the various databases, applications, APIs, and external systems from which data is collected and ingested.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Edureka

JUNE 1, 2023

Data Analytics tools and technologies offer opportunities and challenges for analyzing data efficiently so you can better understand customer preferences, gain a competitive advantage in the marketplace, and grow your business. What is Data Analytics? Data analytics is the process of converting raw data into actionable insights.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Knowledge Hut

DECEMBER 22, 2023

Power BI is a technology-driven business intelligence tool or an array of software services, apps, and connectors to convert unrelated and raw data into visually immersive, coherent, actionable, and interactive insights and information. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning SQL 98

Monte Carlo

AUGUST 31, 2023

Data pipelines can handle both batch and streaming data, and at a high-level, the methods for measuring data quality for either type of asset are much the same. In many ways, the cloud makes data easier to manage, more accessible to a wider variety of users, and far faster to process.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

JANUARY 19, 2024

By delving into the realm of data science, you're not just learning skills; you're gaining a passport to a world of opportunities. From honing your statistical prowess to mastering programming and algorithms, our program is meticulously designed to empower you with the arsenal needed to excel in this field.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52