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

phData

APRIL 29, 2024

Recognizing these specific needs, Fivetran has developed a range of connectors, including dedicated applications, databases, files, and events, which can accommodate the diverse formats used by healthcare systems. Addressing these needs may pose challenges that lead to the implementation of custom solutions rather than a uniform approach.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology. watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads.

Database 101

Database SQL Data Warehouse Machine Learning 101

phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. Event Tracking : Capturing behavioral events such as page views, add-to-cart, signup, purchase, subscription, etc.

Data Warehouse 52

Data Warehouse Cloud Data Data Models Data Modeling 52

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. This means… ensuring data is made available, not locked down unnecessarily.”.

Data Warehouse 52

Data Warehouse Data Governance Cloud Data Machine Learning 52

Dataconomy

MAY 14, 2025

That means feeding them streams of high-quality information about user actions, events, and context in real time. So, what exactly is AI-ready data? Simply put, AI-ready data is structured, high-quality information that can be easily used to train machine learning models and run AI applications with minimal engineering effort .

AI 70

AI AI Data Warehouse Data Pipeline 70

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

JUNE 11, 2025

Whether you’re running small-scale analytics or managing enterprise-level data warehouses, these tips will help drive performance and meaningful business outcomes for your organization. Storage Costs Our first tip involves taking a closer look at managing how your data is stored, organized, and accessed.

Clustering 59

Clustering SQL Database Data Lakes 59

phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

AWS Machine Learning Blog

JULY 17, 2023

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift.

Clustering 94

Clustering AWS ML ML 94

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. 5 Benefits of Data Modernization. Advanced Tooling.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Best Practice 5.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

ODSC - Open Data Science

FEBRUARY 6, 2024

Google BigQuery When it comes to cloud data warehouses, Snowflake, Amazon Redshift, and Google BigQuery are often at the forefront of discussions. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences. Interested in attending an ODSC event?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Alation

DECEMBER 14, 2021

Breakout sessions shared cutting-edge use cases that hint at the future of cloud computing. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. Be sure to catch us next year!

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

Precisely

MAY 13, 2024

As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before. Wide support for enterprise-grade sources and targets Large organizations with complex IT landscapes must have the capability to easily connect to a wide variety of data sources.

Data Governance 52

Data Governance Data Pipeline Cloud Data Data Quality 52

phData

SEPTEMBER 8, 2023

This ensures that BI applications can handle data growth without sacrificing performance or responsiveness. BI workloads can be dynamic, with varying demands depending on factors such as time of day, seasonality, or specific business events. Snowflake supports encryption at rest and in transit. Contact our Team of Snowflake Experts!

Business Intelligence 59

Business Intelligence Business Intelligence Database Data Warehouse 59

phData

JANUARY 24, 2024

Fivetran includes features like data movement, transformations, robust security, and compatibility with third-party tools like DBT, Airflow, Atlan, and more. Its seamless integration with popular cloud data warehouses like Snowflake can provide the scalability needed as your business grows.

Data Warehouse 52

Data Warehouse Data Pipeline Data Governance Cloud Data 52

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

phData

JUNE 3, 2024

Snowflake AI Data Cloud has become a premier cloud data warehousing solution. Maybe you’re just getting started looking into a cloud solution for your organization, or maybe you’ve already got Snowflake and are wondering what features you’re missing out on.

Machine Learning 52

Machine Learning Machine Learning Database Cloud Data 52

IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Guardium® Data Protection empowers security teams to safeguard sensitive data through discovery and classification, data activity monitoring, vulnerability assessments and advanced threat detection.

Azure 71

Azure Analytics Analytics Database 71

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

phData

AUGUST 15, 2023

Set aside some time to experiment with dbt Cloud based on what you’ve learned in the courses. To do this, you’ll need to create a free dbt account , a Snowflake trial account (or another Data Warehouse), and a GitHub account. It is crucial to memorize the different types of events that appear in the audit log.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

phData

FEBRUARY 5, 2024

Other features include email notifications (to let you know if a job failed or is running long), job scheduling, orchestration to ensure your data gets to Snowflake when you want it, and of course, full automation of your complete data ingestion process.

SQL 52

SQL Database Data Quality Data Warehouse 52

phData

AUGUST 22, 2023

LDP Locations In Fivetran’s LDP, a location refers to a specific storage space (database or file storage) where it can replicate data from a source location or storage space where LDP can replicate data to the Target location. The job is then retried and eventually runs again. This is different from SUSPENDED.

Database 52

Database Data Warehouse Cloud Data Analytics 52

phData

AUGUST 22, 2023

LDP (HVR) Locations In Fivetran’s LDP (HVR), a location refers to a specific storage space (database or file storage) where it can replicate data from a source location or storage space where LDP (HVR) can replicate data to the Target location. The job is then retried and eventually runs again. This is different from SUSPENDED.

Database 52

Database Data Warehouse Cloud Data Analytics 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Uninterruptible Power Supply (UPS): Provides backup power in the event of a power outage, to keep the equipment running long enough to perform an orderly shutdown.

Data Lakes 40

Data Lakes Cloud Computing AI AI 40

AWS Machine Learning Blog

NOVEMBER 1, 2024

At the same time, global health awareness and investments in clinical research have increased as a result of motivations by major events like the COVID-19 pandemic. Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities.

AWS 113

AWS Data Lakes Machine Learning Machine Learning 113

Data Science Blog

SEPTEMBER 3, 2024

Dabei darf gerne in Erinnerung gerufen werden, dass Process Mining im Kern eine Graphenanalyse ist, die ein Event Log in Graphen umwandelt, Aktivitäten (Events) stellen dabei die Knoten und die Prozesszeiten die Kanten dar, zumindest ist das grundsätzlich so. Es handelt sich dabei also um eine Analysemethodik und nicht um ein Tool.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

phData

OCTOBER 28, 2024

Understanding Matillion and Snowflake, the Python Component, and Why it is Used Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP and supports multiple cloud data warehouses. If not, it will retry after a certain duration (E.g., 30 minutes).

Python 52

Python ETL AWS Database 52

Alation

JULY 12, 2022

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. With a cloud environment, departments can adopt new capabilities and speed up time to value. 8 Best Practices for Cloud Migration.

Cloud Data 52

Cloud Data Data Warehouse Database Machine Learning 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. Cloud costs are growing prohibitive.

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52

phData

SEPTEMBER 27, 2024

Methods that allow our customer data models to be as dynamic and flexible as the customers they represent. In this guide, we will explore concepts like transitional modeling for customer profiles, the power of event logs for customer behavior, persistent staging for raw customer data, real-time customer data capture, and much more.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52