Data Engineering Podcast

JUNE 5, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Security 100

Data Security Metadata MongoDB Scala 100

RandomTrees

SEPTEMBER 27, 2024

Unified data platform: One Lake provides a unified platform for all data types, including structured, semi-structured, and unstructured data. Data governance and security: One Lake incorporates robust data governance and security features to ensure data quality, compliance, and protection.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Monte Carlo

JULY 15, 2024

In this post, we’ll dive into the world of data ownership, exploring how this new breed of professionals is shaping the future of business intelligence and why, in the coming years, the success of your data strategy may hinge on the effectiveness of your data owners. Table of Contents What is a Data Owner?

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Monte Carlo

JUNE 6, 2023

People that are not proficient in SQL and business intelligence will no longer need to ask an analyst or analytics engineer to create a dashboard for them. Simultaneously, those who are proficient will be able to answer their own questions and build data products quicker and more efficiently.

Data Engineer 84

Data Engineer Data Engineering Engineering Business Intelligence 84

Knowledge Hut

OCTOBER 4, 2023

Power BI is a popular and widely used business intelligence tool in the data world. A report from Microsoft has manifested that around 50,000 companies have been using Power BI to clean, model, transform and visualize their data. Some of the supported data sources are, 1. Files Excel (.xlsx)

BI 52

BI Systems Raw Data Business Intelligence 52

Knowledge Hut

DECEMBER 26, 2023

If you are looking for a wholesome list of books, including one like statistics for data science book or even the best python data science books, you can refer to the below list:- 1. Programming Programming is crucial to have an in-depth understanding of data science.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

JULY 10, 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.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Knowledge Hut

APRIL 23, 2024

Data Warehousing A data warehouse is a centralized repository that stores structured historical data from various sources within an organization. It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Monte Carlo

JUNE 2, 2024

Data Infrastructure Engineers also implement governance and quality frameworks to maintain data integrity and consistency. They set up redundancy and backup solutions to protect against data loss, ensuring data is always ready for business intelligence and analytics.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Data Infrastructure Engineers also implement governance and quality frameworks to maintain data integrity and consistency. They set up redundancy and backup solutions to protect against data loss, ensuring data is always ready for business intelligence and analytics.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Edureka

AUGUST 29, 2024

Support Data Streaming: Build systems that allow the flow of required data seamlessly in real-time for analysis. Implement analytics systems: Install and tune such systems for analytics and business intelligence operations. Create Business Reports: Formulate reports that will be helpful in deciding company advisors.

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Monte Carlo

MARCH 16, 2023

Fintech consumer lending marketplace Best Egg has built its products—including personal loans, debt consolidation, credit cards, and a financial health platform—on a foundation of data. Employee number three at Best Egg was Randy Addis, now Head of Data and Business Intelligence. Users can create custom rules using SQL.

Software Engineer 52

Software Engineer Software Engineering Data Governance Government 52

phData: Data Engineering

SEPTEMBER 19, 2023

Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

RandomTrees

FEBRUARY 2, 2024

Cost-effective: DataGpt decreases the overall cost of the analysis of data and also provides information at an affordable price. Translate Data: DataGPT works as a translator. It converts between formats like CSV, JSON, and SQL and ensures smooth data integration and manipulation.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Pipeline 52

Monte Carlo

MARCH 28, 2023

For example, the marketing team may require their ad spend dashboard updated weekly for their regular meeting where they make optimization decisions, but a machine learning algorithm that detects financial fraud may require data latency measured in seconds (or less). How do we instill the sense of quality and timeliness in the data?”

IT 52

IT Machine Learning Data Business Intelligence 52

Knowledge Hut

SEPTEMBER 28, 2023

It stands as a formidable business intelligence tool, providing an end-to-end solution for diverse data needs. This versatile tool handles data extraction, transformation, presentation, and sharing while granting you full control over the information you disseminate.

BI 52

BI Business Intelligence Certification Raw Data 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

MARCH 16, 2023

Fintech consumer lending marketplace Best Egg has built its products—including personal loans, debt consolidation, credit cards, and a financial health platform—on a foundation of data. Employee number three at Best Egg was Randy Addis, now Head of Data and Business Intelligence. Users can create custom rules using SQL.

Software Engineer 40

Software Engineer Software Engineering Data Governance Government 40

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. This can involve SQL queries or ETL (Extract, Transform, Load) processes. In transformation, data is meticulously organized, sorted, and cleansed.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

APRIL 25, 2023

Looker Looker is a business intelligence (BI) and data analytics platform that provides a unified view of data from different sources. It is one of the most liked data engineering tools of the present day. Key features: Flexible data modeling High scalability Support for real-time analytics 4.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Meltano

FEBRUARY 22, 2023

Newer data stacks take a more integration-based, modular approach to testing tools. As a result, testing tools can now work with a wide range of data tools for ETL, business intelligence, orchestration, and so on. For instance, databases comply with varying schema and SQL standards definitions.

Data 52

Data Transportation Data Workflow Data Lake 52

Databand.ai

DECEMBER 13, 2022

He describes himself as a creative thinker, continuous learner, and technologist who is adept at implementing advanced technology and business solutions, especially in customer and growth analytics. He also shares thoughts and advice regularly on LinkedIn, centered around topics like SQL, data engineering, careers, and interviews.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

JANUARY 24, 2024

Power BI takes advantage of Microsoft's business analytics. The business intelligence market has multiplied in recent years and is anticipated to do so going forward. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Monte Carlo

FEBRUARY 6, 2023

What are the goals as they relate to governance and security? How should your business intelligence improve as a result of this migration? Set your budget While you’ll likely save on a data warehouse migration to cloud tooling, the migration process will create costs of its own. Is cost-savings a goal? If so, how much?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Edureka

FEBRUARY 9, 2023

Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. Data ingestion, transformation, and storage are among their responsibilities, as are data governance and security. SQL is also an essential skill for Azure Data Engineers.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 22, 2023

Data visualizations that can be utilized in data science include bar charts, histograms, pie charts, etc. Business Intelligence It would help if you presumed, as a data scientist, that all you need are specialized technical abilities, but you need more than that. Non-Technical Data Science Skills 1.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

SEPTEMBER 26, 2023

The demand for data professionals with business intelligence skills has increased significantly in recent years. With technological advancements and digital transformations, businesses are taking data very seriously. In today's business environment, data is an invaluable asset.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Striim

SEPTEMBER 11, 2024

Data Warehouses: These are optimized for storing structured data, often organized in relational databases. They support complex querying and analytical processing, making them ideal for business intelligence and reporting. It offers scalable and high-performance tools that enable efficient data access and utilization.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. You can begin by getting a beginner's certification to step into the database world.

Database 52

Database Certification MongoDB MySQL 52

U-Next

MARCH 7, 2023

Change data capture, and change tracking are two features of SQL Server that track changes to data. What are the basic skills needed to become a Data Analyst? Data mining, report writing, and relational databases are also part of business intelligence, which includes OLAP.

Data Mining 96

Data Mining Scala Government Data Governance 96

Data Engineering Podcast

JUNE 11, 2021

In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. He shares some of the common patterns for building pipelines to power business intelligence dashboards, machine learning applications, and data warehouses.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

Architecture 52

Architecture Database-centric Process BI 52

Monte Carlo

JANUARY 16, 2024

The result will be a convergence toward what’s called a “ data lakehouse ,” a best-of-both-worlds approach that will allow many more organizations to benefit from the business intelligence to be found within their data footprint. For example, how easy will it be to perform complex data transformations?

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Monte Carlo

FEBRUARY 7, 2023

The company of 1,600+ employees serves over 1,000 clients, and its teams churn through massive volumes of data on a daily basis. As the company scaled, Contentsquare needed to implement a quick-value solution that could help them build the foundation of a reliable data platform. Monte Carlo also enables automatic business rule checks.

Data Governance 52

Data Governance Government SQL Data Lake 52