Data Science Dojo

SEPTEMBER 11, 2024

Microsoft Fabric aims to reduce unnecessary data replication, centralize storage, and create a unified environment with its unique data fabric method. Microsoft Fabric is a cutting-edge analytics platform that helps data experts and companies work together on data projects. What is Microsoft Fabric?

Power BI 337

Power BI Data Pipeline Data Warehouse Data Engineering 337

databricks

JUNE 12, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Data Science Dojo

SEPTEMBER 6, 2023

M aintaining the security and governance of data within a data warehouse is of utmost importance. Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information.

Data Warehouse 195

Data Warehouse Data Governance Data Quality ETL 195

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

JUNE 1, 2023

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Precisely

JUNE 24, 2024

The Precisely team recently had the privilege of hosting a luncheon at the Gartner Data & Analytics Summit in London. It was an engaging gathering of industry leaders from various sectors, who exchanged valuable insights into crucial aspects of data governance, strategy, and innovation.

Analytics 94

Analytics Analytics Data Governance Data Lakes 94

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 89

AWS Data Governance Data Silos SQL 89

Dataconomy

JULY 29, 2024

Hosted at one of Mindspace’s coworking locations, the event was a convergence of insightful talks and professional networking. Mindspace , a global coworking and flexible office provider with over 45 locations worldwide, including 13 in Germany, offered a conducive environment for this knowledge-sharing event.

Apache Kafka 91

Apache Kafka Data Pipeline Data Warehouse ETL 91

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. Schema Enforcement: Data warehouses use a “schema-on-write” approach.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Data Visualization 145

Data Visualization Big Data Big Data Predictive Analytics 145

Tableau

JANUARY 18, 2023

Tableau Ambassadors serve one-year terms in one of seven branches: Forums, User Groups, Student, DataDev, Public, Social, and CRM Analytics. Their expertise allows them to expand the capabilities of Tableau into other business applications, in addition to creating extensions, building data connectors, and more.

Tableau 117

Tableau Data Warehouse Analytics Analytics 117

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Warehouse 98

Data Warehouse Azure SQL ETL 98

IBM Journey to AI blog

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

AWS 95

AWS AI Data Warehouse AI 95

AWS Machine Learning Blog

JANUARY 6, 2023

TR has a wealth of data that could be used for personalization that has been collected from customer interactions and stored within a centralized data warehouse. The user interactions data from various sources is persisted in their data warehouse. The following diagram illustrates the ML training pipeline.

AWS 97

AWS Data Warehouse ML ML 97

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Registration is free for both events.

Machine Learning 105

Machine Learning Machine Learning ML ML 105

phData

SEPTEMBER 5, 2023

Google Analytics 4 (GA4) is a powerful tool for collecting and analyzing website and app data that many businesses rely heavily on to make informed business decisions. However, there might be instances where you need to migrate the raw event data from GA4 to Snowflake for more in-depth analysis and business intelligence purposes.

Azure 52

Azure Analytics Analytics Data Pipeline 52

Smart Data Collective

JULY 20, 2021

Whether it is closing more sales deals, getting leads, offering vital customer services, marketing automation, analytics or application development, Salesforce CRM provides a bucket of comprehensive solutions. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Big Data 142

Big Data Big Data ETL Analytics 142

phData

FEBRUARY 9, 2023

Analytics can be a powerful tool in this process, helping manufacturers to identify trends, optimize processes, and make informed decisions. In this blog, we’ll take a closer look into how analytics can be useful in manufacturing. Quality Control One common use case for analytics in manufacturing is quality control.

Analytics 52

Analytics Analytics Power BI Data Warehouse 52

Tableau

JANUARY 18, 2023

Tableau Ambassadors serve one-year terms in one of seven branches: Forums, User Groups, Student, DataDev, Public, Social, and CRM Analytics. Their expertise allows them to expand the capabilities of Tableau into other business applications, in addition to creating extensions, building data connectors, and more.

Tableau 98

Tableau Data Warehouse Analytics Analytics 98

ODSC - Open Data Science

MAY 7, 2024

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures. Interested in attending an ODSC event?

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Dataconomy

APRIL 27, 2023

What is an online transaction processing database: Indexed data sets are used for rapid querying in OLTP systems Regular & incremental backups for data safety Frequent backups are necessary to ensure that data is protected in the event of a system failure or other issue.

Database 159

Database Data Scientist Data Mining Data Mining 159

Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Where to Use Data Mining? Data Mining is an important research process.

Data Mining 144

Data Mining Data Mining Data Mining Data Science 144

ODSC - Open Data Science

APRIL 25, 2025

EvolvabilityIts Mostly About Data Contracts Editors note: Elliott Cordo is a speaker for ODSC East this May 1315! Be sure to check out his talk, Enabling Evolutionary Architecture in Data Engineering , there to learn about data contracts and plentymore.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 23, 2023

Summary: In the modern digital landscape, data analytics has emerged as a powerful tool for businesses and industries seeking valuable insights to drive decision-making and improve performance. Today, it is imperative for companies to adopt the data driven decision making processes.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

MARCH 19, 2025

Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines. The global Big Data and data engineering market, valued at $75.55

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

AI 110

AI AI Data Warehouse Machine Learning 110

IBM Journey to AI blog

NOVEMBER 3, 2023

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

phData

FEBRUARY 3, 2023

More and more businesses are looking to better leverage their outsourced call center data to make more data-driven decisions. To do this on your own, you would need to create a data warehouse, optimize the reporting performance, and very clearly visualize the data. How Does Snowflake Help with Call Centers?

ETL 59

ETL Data Warehouse Analytics Analytics 59

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Smart Data Collective

FEBRUARY 20, 2022

What are the ties between DAM and data loss prevention (DLP) systems? Does DAM need a user behavior analytics (UBA) module? Do database activity monitoring systems need user behavior analytics features? On the one hand, the use of agents allows you to actively monitor and respond to events. How do DAM solutions work?

Database 130

Database Machine Learning Machine Learning Data Warehouse 130

Alation

FEBRUARY 13, 2020

It is about hurricanes and big events like the California wildfires, but it is also about complex things like satellite launches, for example, or big building projects. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. energy going on.

Data Lakes 52

Data Lakes Analytics Analytics Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Database 101

Database SQL Data Warehouse Machine Learning 101

Tableau

MARCH 9, 2021

We all missed meeting in-person this year—that real-life connection is hard to replace for relationship-building, fast decision making, and having a little social time together—but heard great feedback across all three Theaters about this year’s digital event. Despite all the headwinds, we are persisting and growing together.

Tableau 98

Tableau AWS Data Warehouse SQL 98

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

IBM Journey to AI blog

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

AWS 118

AWS Data Warehouse Analytics Analytics 118

Mlearning.ai

MAY 16, 2023

It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database. In the extraction phase, the data is collected from various sources and brought into a staging area.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

MARCH 7, 2023

Note: Recommended to only edit the configuration marked as TODO gg.target=snowflake #The Snowflake Event Handler #TODO: Edit JDBC ConnectionUrl gg.eventhandler.snowflake.connectionURL=jdbc:snowflake://.snowflakecomputing.com/?warehouse= The S3 Event Handler #TODO: Edit the AWS region #gg.eventhandler.s3.region= snowflakecomputing.com/?warehouse=

Hadoop 59

Hadoop Database Data Warehouse AWS 59