ThoughtSpot

SEPTEMBER 6, 2023

The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Hepta Analytics

FEBRUARY 14, 2022

This means that your data store has to have capabilities of transforming the data. It is mostly used for big data. The data ingestion takes less time compared to ETL. It is also preferred when the use case has more diverse business intelligence. The purpose of the data is not determined.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Meltano

FEBRUARY 22, 2023

Testing a data application is similar to testing any software application in many ways, just with a strong focus on testing data-related issues. But testing problems like failing data workflows, mismatches in data reconciliation after ETL, and data quality issues means that you’re not only testing the code but also the data itself.

Data 52

Data Transportation Data Workflow Data Lake 52

Knowledge Hut

DECEMBER 28, 2023

This certification, often referred to as the Azure Data Engineer Associate certification, validates the competency of individuals in implementing Azure data solutions. It’s a testament to their ability to create scalable, efficient and secure data pipelines. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

DECEMBER 18, 2022

In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing these constraints to your data workflows.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Knowledge Hut

SEPTEMBER 27, 2023

In the current data-driven environment, starting a business intelligence (BI) journey has become crucial. Come explore with me the special features that set Power BI apart from other business intelligence tools in the current day. Power BI is a robust business intelligence (BI) platform developed by Microsoft.

BI 52

BI Business Intelligence Certification Data Security 52

Monte Carlo

APRIL 24, 2023

While we won’t get into the minutia of every consideration for every level of the data stack, it’s important to recall these five considerations as they’ll nonetheless steer the direction of our conversation. It required a complete data workflow and an orchestration team that’s frankly not feasible for most organizations.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Let us first get a clear understanding of why Data Science is important. What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

dbt Developer Hub

APRIL 24, 2023

One example of a popular drag-and-drop transformation tool is Alteryx which allows business analysts to transform data by dragging and dropping operators in a canvas. In this sense, dbt may be a more suitable solution to building resilient and modular data pipelines due to its focus on data modeling.

BI 83

BI Data Workflow SQL Data Pipeline 83

Data Engineering Podcast

NOVEMBER 27, 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! What are some examples of data sets that an organization might want to use in their analytics?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Monte Carlo

MARCH 24, 2023

Sure, terabytes or even petabytes of data are involved, but generally it’s not the size of the data but everything surrounding the data–workflows, access permissions, layers of dependencies–that pose data migration risks. In reality, it’s never quite that simple.

Data Warehouse 52

Data Warehouse AWS Data Governance Cloud 52

Monte Carlo

JUNE 14, 2023

Apache Spark – Labeled as a unified analytics engine for large scale data processing, many leverage this open source solution for streaming use cases, often in conjunction with Databricks. Data orchestration Airflow : Airflow is the most common data orchestrator used by data teams.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

phData: Data Engineering

MAY 11, 2023

The highly repeatable and uni-directional flow of data means that a simple approach can be taken with analytics while still maintaining basic rigor to protect the integrity of the workflows built. In addition, breaking the human and data workflows into modular components enables this simplification.

Coding 52

Coding Software Engineer Software Engineering Government 52

AltexSoft

SEPTEMBER 21, 2023

The Elastic Stacks Elasticsearch is integral within analytics stacks, collaborating seamlessly with other tools developed by Elastic to manage the entire data workflow — from ingestion to visualization. Accessible via a unified API, these new features enhance search relevance and are available on Elastic Cloud.

Engineering 52

Engineering NoSQL Programming Language Java 52

Data Engineering Podcast

SEPTEMBER 18, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. What is the core problem that you are trying to solve at Workstream?

Building 100

Building Metadata MongoDB MySQL 100

Databand.ai

DECEMBER 29, 2022

Her proprietary methodology fuses the art of data storytelling and visualization to drive users to take action. Mico’s ability to help companies gain ROI from their business intelligence investments has been sought out by Fortune 500 companies. Mico actively posts about data analytics, BI strategy, and data storytelling.

BI 52

BI Consulting Data Science Data Governance 52

phData: Data Engineering

JANUARY 3, 2022

This commonly introduces: Database or Data Warehouse API/EDI Integrations ETL software Business intelligence tooling By leveraging off-the-shelf tooling, your company separates disciplines by technology. This helps drive requirements and determines the right validation at the right time for the data.

IT 52

IT AWS Software Engineer Software Engineering 52

AltexSoft

MARCH 14, 2023

Data uses Here comes why you need this whole MDS thing in the first place — the data use component, or how the data is actually utilized. There are two main areas of use within this component: the first is data analytics and business intelligence and the second is data science.

IT 59

IT Data Warehouse Data Governance Data Lake 59