Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Government 108

Government Data Governance Data Pipeline Big Data 108

Christophe Blefari

SEPTEMBER 15, 2023

Dimensional data modeling with dbt — A great 6-steps process to create a simple dim-fact model with dbt. Head-to-head comparison of 3 dbt SQL engines — A comparison between DuckDB, Spark and Trino where DuckDB wins almost every fight. Data Economy 💰 Databricks atm ( credits ) SQream raises $45m Series C.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Data Engineering Weekly

OCTOBER 6, 2024

The key benefits are Improved data quality, Enhanced data governance Increased security Cost efficiency [link] HomeToGo: How HomeToGo improved our Superset Monitoring Framework Apache Superset is the most popular open-source BI tool in the industry. “text-to-SQL” and “text-to-insight.”

Data Engineering 62

Data Engineering Data Engineer Engineering Data Warehouse 62

Monte Carlo

OCTOBER 31, 2024

Proficiency in Programming Languages Knowledge of programming languages is a must for AI data engineers and traditional data engineers alike. In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

MARCH 28, 2024

Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Develop data models, data governance policies, and data integration strategies.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

JUNE 10, 2024

Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure. Snowflake and Databricks acknowledge the support for Iceberg and move the battle to the data governance layer. However, all these cloud providers do offer competitive products.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Data Science Blog: Data Engineering

MAY 20, 2024

Automation : It offers full BI-Stack Automation, from source to data warehouse through to frontend. This includes the creation of SQL Code, DACPAC files, SSIS packages, Data Factory ARM templates, and XMLA files. Data Lakes : It supports MS Azure Blob Storage. Data Lakes : It supports MS Azure Blob Storage.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster. Learn more here.

Healthcare 75

Healthcare Retail Data Ingestion Consulting 75

Monte Carlo

JULY 15, 2024

Key Responsibilities of Data Owners The primary responsibility of a data owner is ensuring the quality, accuracy, and integrity of their assigned data assets. Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth.

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Data Engineering Podcast

JUNE 5, 2022

Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production.

Data Security 100

Data Security Metadata MongoDB Scala 100

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? The data domain Discovery portal with all the metadata on the data life cycle 4.Federated

Technology 130

Technology Architecture Google Cloud Metadata 130

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Identify and address bottlenecks and performance issues.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

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

Ascend.io

SEPTEMBER 5, 2023

Snowpark’s key benefit is its ability to support coding in languages other than SQL—such as Scala, Java, and Python—without moving data out of Snowflake and, therefore , take full advantage of its powerful capabilities through code. SQL, as a declarative language, offers a broad audience the power to query data.

IT 59

IT Scala Java Programming Language 59

Data Engineering Weekly

APRIL 6, 2023

I also had a chance to attend a session on Malloy , a new way of thinking about SQL queries. It was experimental but had some cool ideas on abstracting complicated SQL queries. ChatGPT will change the game in terms of data engineering jobs and productivity. Will the modern data stack become more mature and consolidated?

Big Data 52

Big Data Data Governance SQL Government 52

Knowledge Hut

OCTOBER 4, 2023

Data Source Connectivity Power BI requirements support a large range of data sources, which can be connected to an app to build a dataflow to aggregate, analyze, and visualize data. Some of the supported data sources are, 1. All Under Get data, you can view the available data connection. Files Excel (.xlsx)

BI 52

BI Systems Raw Data Business Intelligence 52

Knowledge Hut

MARCH 20, 2024

This could involve basic database administration tasks such as provisioning resources, monitoring performance, and troubleshooting issues in databases like Azure SQL Database or Azure Cosmos DB. Data visualization: Here, you'll collaborate with team members to create basic reports and dashboards using visualization tools like Power BI.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

This could involve basic database administration tasks such as provisioning resources, monitoring performance, and troubleshooting issues in databases like Azure SQL Database or Azure Cosmos DB. Data visualization: Here, you'll collaborate with team members to create basic reports and dashboards using visualization tools like Power BI.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Snowflake

SEPTEMBER 13, 2023

DevOps Deploy and Manage Snowflake objects and code with ease – public preview You now have the ability to execute a SQL script directly from a file on a stage, such as from VS code, or a Snowflake Native App with the EXECUTE IMMEDIATE FROM command now in public preview. Learn more about our SQL delight features. Learn more.

Python 77

Python SQL Data Pipeline Data Ingestion 77

Data Engineering Weekly

SEPTEMBER 24, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. The customer data that is being processed by AI and for what purpose?

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Snowflake

SEPTEMBER 11, 2023

Many customers evaluating how to protect personal information and minimize access to data look specifically to data governance in Snowflake features. There are a number of data governance operating models that I see working with Snowflake as a centralized data repository for personal information.

Cloud 78

Cloud Electronics Government Data Governance 78

Snowflake

FEBRUARY 21, 2024

This greatly simplifies the experience of working with data for app developers, data engineers, architects and admins. Here are a few examples of what this deep integration provides: Unified data governance: Govern all of your transactional and analytical data with one central set of policies.

AWS 100

AWS Government Data Architect Architecture 100

Edureka

AUGUST 26, 2024

Experience in data-related positions: A minimum of two to three years of BI technology experience is required for positions such as Power BI Developer and all other data-related roles. In addition, they ought to be proficient in online analytical processing (OLAP), SQL query writing, and data modeling.

BI 52

BI Business Intelligence Consulting Certification 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 Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

Monte Carlo

MARCH 25, 2024

.” Justin Swenson Data, Analytics, and AI Governance Lead, Sub-Zero That means Monte Carlo needs to support and integrate across those same solutions and architectures. Adding capabilities for Azure Synapse Analytics and Microsoft Data Fabric. More pipelines, more data sources, and more consumers.

MySQL 64

MySQL Government Data Governance Kafka 64

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 119

Cloud Banking Data Governance Government 119

Data Engineering Podcast

OCTOBER 15, 2021

The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. Can you describe what Acryl Data is and the story behind it?

Metadata 100

Metadata BI Data Warehouse Government 100

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Knowledge Hut

NOVEMBER 2, 2023

MS BI offers a comprehensive solution for data management and reporting, thanks to its powerful tools like SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS). SQL Server Reporting Services (SSRS): SSRS focuses on growing pixel-ideal reviews.

BI 52

BI Business Intelligence SQL Cloud 52

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Monte Carlo

OCTOBER 1, 2024

AI-powered Monitor Recommendations that leverage the power of data profiling to suggest appropriate monitors based on rich metadata and historic patterns — greatly simplifying the process of discovering, defining, and deploying field-specific monitors.

Database 52

Database Metadata Software Engineer Software Engineering 52

Monte Carlo

SEPTEMBER 17, 2024

Then, data owners guide employees by defining and enforcing data access rules. Finally, owners audit and review others on their data handling to enforce the company’s data governance. This creates data inconsistencies, silos, and duplicates. All of which need to be fixed by the data owner.

Accessibility 52

Accessibility Accessible Government Data 52

Data Engineering Podcast

JULY 12, 2021

With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more. How does data governance get applied across the various services and systems of the modern stack? Write some Python scripts to automate it?

Designing 100

Designing Data Warehouse Data Governance Architecture 100

Data Engineering Podcast

APRIL 26, 2021

How can Superset support those use cases where a business user or analyst wants to perform an action based on the data that they are being shown? How can Superset factor into a data governance strategy for the business? How can Superset factor into a data governance strategy for the business?

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Monte Carlo

JUNE 2, 2024

Based on our job postings analysis, here are some key areas of expertise to focus on: Technical Expertise Programming Languages: Proficiency in SQL (mentioned in 88% of job postings) and Python (78%) is essential. These languages are used to write efficient, maintainable code and create scripts for automation and data processing.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Based on our job postings analysis, here are some key areas of expertise to focus on: Technical Expertise Programming Languages: Proficiency in SQL (mentioned in 88% of job postings) and Python (78%) is essential. These languages are used to write efficient, maintainable code and create scripts for automation and data processing.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

MARCH 16, 2023

We recently sat down with Randy to chart Best Egg’s course from siloed SQL databases to domain-driven data mesh—and hear the hard-won tips he learned along the way. As Randy’s dedicated data team grew and matured, they wanted to remove data silos , modernize the data stack, and migrate to a cloud-based platform.

Software Engineer 52

Software Engineer Software Engineering Data Governance Government 52