Cloudera

OCTOBER 23, 2024

One of the most important innovations in data management is open table formats, specifically Apache Iceberg , which fundamentally transforms the way data teams manage operational metadata in the data lake. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Snowflake

JUNE 21, 2024

Snowflake is now making it even easier for customers to bring the platform’s usability, performance, governance and many workloads to more data with Iceberg tables (now generally available), unlocking full storage interoperability. Iceberg tables provide compute engine interoperability over a single copy of data.

Data Lake 124

Data Lake BI Business Intelligence Government 124

ProjectPro

JUNE 6, 2025

Data Analyst Skills of a Data Analyst Responsibilities of a Data Analyst Data Analyst Salary How to Transition from ETL Developer to Data Analyst? ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

Knowledge Hut

DECEMBER 22, 2023

Power BI, originally called Project Crescent, was launched in July 2011, bundled with SQL Server. Later, it was renamed Power BI and presented as Power BI for Office 365 in September 2013. The Windows Store has Power BI Desktop, which Windows 10 users can get from. What is Power BI? Meijer connected Power BI.

BI 98

BI Business Intelligence Machine Learning Data Cleanse 98

Edureka

MAY 27, 2025

The architecture of Microsoft Fabric is based on several essential elements that work together to simplify data processes: 1. OneLake Data Lake OneLake provides a centralized data repository and is the fundamental storage layer of Microsoft Fabric. Throughout the Fabric ecosystem, it facilitates smooth orchestration.

Architecture 52

Architecture BI Business Intelligence Data Lake 52

ProjectPro

JUNE 6, 2025

In a typical Azure data pipeline , data engineers can work with various tools (such as ADF , Azure Data Explorer, Azure Databricks , Azure SQL, Azure Analysis Services, and Power BI). Using a basic SQL query, data engineers can combine relational and non-relational data in the data lake.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

It streamlines all data integration processes so that you can effectively and instantly utilize your integrated data. Domain experts can easily add data descriptions using the Data Catalog, and data analysts can easily access this metadata using BI tools. to analyze and deliver insights on their data.

AWS 40

AWS IT Data Lake BI 40

ProjectPro

JUNE 6, 2025

When it comes to databricks architecture, it is not entirely a data warehouse. It works together with a LakeHouse architecture that combines the features of data warehouses and data lakes for metadata management and data governance. Thus, both platforms are effective in terms of data security.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. In 2017, big data platforms that are just built only for hadoop will fail to continue and the ones that are data and source agnostic will survive.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Architecture 147

Architecture Data Lake High Quality Data Java 147

ProjectPro

JUNE 6, 2025

allow data engineers to acquire, analyze, process, and manage huge volumes of data simply and efficiently. Visualization tools like Tableau and Power BI allow data engineers to generate valuable insights and create interactive dashboards. It can also access structured and unstructured data from various sources.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

It offers a comprehensive suite of services, including data movement, data science , real-time analytics, and business intelligence. It simplifies analytics needs by providing data lake, data engineering, and data integration capabilities all in one platform.

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40

Data Engineering Podcast

NOVEMBER 5, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

PostgreSQL 147

PostgreSQL Data Lake High Quality Data SQL 147

Data Engineering Podcast

APRIL 16, 2023

Summary Business intellingence has been chasing the promise of self-serve data for decades. As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. Self-serve data exploration has been attempted in myriad ways over successive generations of BI and data platforms.

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

NOVEMBER 12, 2023

Datafold leverages data-diffing to compare production and development environments and column-level lineage to show you the exact impact of every code change on data, metrics, and BI tools, keeping your team productive and stakeholders happy. Paola Graziano by The Freak Fandango Orchestra / CC BY-SA 3.0

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

ProjectPro

JUNE 6, 2025

78% of the employees across European organizations claim that the data keeps growing too rapidly for them to process, thus getting siloed on-premise. So, how can businesses leverage the untapped potential of all the data that is available to them? as needed for big data processing. The answer is-Cloud!

Big Data 40

Big Data Cloud Data Lake Big Data Tools 40

ProjectPro

JUNE 6, 2025

Key Features of RapidMiner: RapidMiner integrates with your current systems, is easily scalable to meet any demand, can be deployed anywhere, encrypts your data, and gives you complete control over who may access projects. Many developers have access to it due to its integration with Python IDEs like PyCharm.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Edureka

JUNE 13, 2024

Power BI has a feature named Query Folding at the backend that can significantly improve your analysis. Understanding Query Folding How to Find If Your Power BI Data Source Supports Query Folding? In other words, it acted as an input data source, taking much of the work on data processing and transferring within Power BI.

BI 81

BI Raw Data SQL MongoDB 81

Data Engineering Weekly

FEBRUARY 2, 2025

The article advocates for a "shift left" approach to data processing, improving data accessibility, quality, and efficiency for operational and analytical use cases. link] Get Your Guide: From Snowflake to Databricks: Our cost-effective journey to a unified data warehouse.

Data Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

Edureka

MAY 27, 2025

With its ability to seamlessly integrate data engineering, analytics, and business intelligence, Microsoft Fabric stands out as the all-in-one superhero in a world where data is abundant but insights are scarce. Configure OneLake and Region Choose your OneLake storage region for data locality and compliance. Still doubtful?

BI 52

BI Data Pipeline Business Intelligence Data Engineering 52

Edureka

MAY 27, 2025

Microsoft Fabric is a various data integration, engineering, warehousing, real-time analytics, and business intelligence capabilities into a single software-as-a-service (SaaS) offering by Microsoft Fabric, a unified data platform that the company introduced. It features both physical and logical layers.

BI 40

BI Data Lake Business Intelligence Raw Data 40

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Load- The pipeline copies data from the source into the destination system, which could be a data warehouse or a data lake. Transform- Organizations routinely transform raw data in various ways and use it with multiple tools or business processes. The size of the data has no impact on the speed of the ELT process.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

Data Engineering Weekly

FEBRUARY 23, 2025

[link] Alireza Sadeghi: Open Source Data Engineering Landscape 2025 This article comprehensively overviews the 2025 open-source data engineering landscape, highlighting key trends, active projects, and emerging technologies.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

ProjectPro

JUNE 6, 2025

This is the reason why we need Data Warehouses. What is Snowflake Data Warehouse? A Data Warehouse is a central information repository that enables Data Analytics and Business Intelligence (BI) activities. Snowflake Data Marketplace gives users rapid access to various third-party data sources.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

Data Engineering Podcast

JANUARY 8, 2023

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

JANUARY 15, 2023

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

Coding 130

Coding Building PostgreSQL Data Lake 130

ProjectPro

JUNE 6, 2025

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 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Store processed data in Redshift for advanced querying and create visual dashboards using Tableau or Power BI to highlight trends in customer sentiment, identify frequently mentioned product features, and pinpoint seasonal buying patterns. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data. venues or weather).

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

So many cool features in one tool are likely to lure any big data engineer into heading to the official website of AWS Athena documentation right away. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What is the need for AWS Athena? In the background.

AWS 67

AWS Big Data SQL Raw Data 67

ProjectPro

JUNE 6, 2025

Azure Data Factory 2. Azure Data Lake Storage 7. Azure Logic Apps Azure ETL Best Practices for Big Data Projects Get Your Hands-on Azure ETL Projects with ProjectPro! It also enables data transformation using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning.

ETL Tools 40

ETL Tools Data Engineering Data Engineer Data Lake 40

ProjectPro

JUNE 6, 2025

Key Features: Along with direct connections to Google Cloud's streaming services like Dataflow, BigQuery includes built-in streaming capabilities that instantly ingest streaming data and make it readily accessible for querying. You can use Dataproc for ETL and modernizing data lakes.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

Additionally, Airflow supports integration with third-party visualization tools such as Gantt charts and BI (Business Intelligence) tools like Tableau and Power BI. Airflow DAG Python Airflow DAGs can be defined using Python, allowing developers to take advantage of the powerful capabilities of Python for data processing and analysis.

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data Warehouse in DBMS: . What is Data Lake? .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

JUNE 12, 2025

It’s long been Databricks’ position that in order for enterprise data + AI teams to succeed, they need to verticalize—and that position is on full display in this year’s announcements. Again, this is all about unifying systems, architecture, and teams around one verticalized data + AI platform—Databricks.

Government 52

Government BI Food Database 52

ProjectPro

JUNE 6, 2025

It is useful to learn about the different cloud services AWS offers for the first-ever step of any data analytics process, i.e., data engineering on AWS! Its free tiers include access to the AWS Console, enabling users to manage their services from a single location. It allows users to easily access data from any location.

AWS 40

AWS Data Engineering Data Engineer Engineering 40

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss uses Lakehouse as a tiered storage, and data will be converted and tiered into data lakes periodically; Fluss only retains a small portion of recent data. So you only need to store one copy of data for your streaming and Lakehouse. Pinot provides SQL for OLAP queries and BI tool integrations.

Kafka 73

Kafka Lambda Architecture SQL Data Lake 73