Data Science Blog

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. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 195

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phData

JANUARY 5, 2023

Python is the top programming language used by data engineers in almost every industry. Python has proven proficient in setting up pipelines, maintaining data flows, and transforming data with its simple syntax and proficiency in automation. Truly a must-have tool in your data engineering arsenal!

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Python Data Engineering Data Engineer Data Engineering 52

phData

JUNE 14, 2023

In recent years, data engineering teams working with the Snowflake Data Cloud platform have embraced the continuous integration/continuous delivery (CI/CD) software development process to develop data products and manage ETL/ELT workloads more efficiently. What Are the Benefits of CI/CD Pipeline For Snowflake?

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Data Pipeline Database SQL Data Engineer 52

Towards AI

JANUARY 28, 2024

To start, get to know some key terms from the demo: Snowflake: The centralized source of truth for our initial data Magic ETL: Domo’s tool for combining and preparing data tables ERP: A supplemental data source from Salesforce Geographic: A supplemental data source (i.e., Instagram) used in the demo Why Snowflake?

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ETL Python Database Data Preparation 92

phData

MARCH 8, 2023

Fivetran is an automated data integration platform that offers a convenient solution for businesses to consolidate and sync data from disparate data sources. With over 160 data connectors available, Fivetran makes it easy to move data out of, into, and across any cloud data platform in the market.

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Data Warehouse Data Engineer Data Engineering Data Engineering 96

phData

MARCH 29, 2023

However, many analysts and other data professionals run into two common problems: They are not given direct access to their database They lack the skills in SQL to write the queries themselves The traditional solution to these problems is to rely on IT and data engineering teams. Use KNIME database tools.

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Database SQL Analytics Analytics 52

phData

SEPTEMBER 2, 2024

Best practices are a pivotal part of any software development, and data engineering is no exception. This ensures the data pipelines we create are robust, durable, and secure, providing the desired data to the organization effectively and consistently. Database names, Cloud Region, etc.

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ETL Data Warehouse SQL Database 52

IBM Journey to AI blog

MAY 15, 2024

There are several styles of data integration. Data engineers build data pipelines, which are called data integration tasks or jobs, as incremental steps to perform data operations and orchestrate these data pipelines in an overall workflow.

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Data Pipeline ETL SQL Database 89

ODSC - Open Data Science

JUNE 16, 2023

Data security posture management is particularly beneficial for organizations that have committed to a cloud-first vision and are moving away from a mixed cloud/on-premises infrastructure. Automatically find and categorize data across all clouds. Avoid exposing cloud data and reduce the attack surface.

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Cloud Data Data Science Database Data Scientist 52

phData

MARCH 27, 2024

The SnowPro Advanced Administrator Certification targets Snowflake Administrators, Snowflake Data Cloud Administrators, Database Administrators, Cloud Infrastructure Administrators, and Cloud Data Administrators. YouTube YouTube is another external source of excellent learning materials.

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Data Analyst Data Engineer Data Engineering Data Engineering 52

phData

AUGUST 6, 2024

Organizations must ensure their data pipelines are well designed and implemented to achieve this, especially as their engagement with cloud data platforms such as the Snowflake Data Cloud grows. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

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Data Pipeline Python Data Engineer Data Engineering 52

Flipboard

NOVEMBER 24, 2023

JuMa is tightly integrated with a range of BMW Central IT services, including identity and access management, roles and rights management, BMW Cloud Data Hub (BMW’s data lake on AWS) and on-premises databases. He has a record of working with distributed teams across the globe within large enterprises.

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Data Science Blog

JUNE 27, 2023

For existing event sources, listeners are utilized to stream writes directly from database logs or similar data stores. By treating every data point as a streaming event, the Kappa architecture enables the ability to near-realtime analytics and observe the state of all data in the organization at any given point.

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phData

SEPTEMBER 20, 2023

However, Snowflake offers many of the capabilities needed for a self-service data platform, enabling a distributed, domain-driven architecture and offering capabilities to help implement data as a product and federated computational governance. Regularly communicate the progress, successes, and challenges of data mesh implementation.

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Data Silos Database Data Quality Data Engineer 52

Data Science Blog

MAY 15, 2023

Synapse Analytics umfasst eine Data Lakehouse-Funktion, die das Beste aus Data Lakes und Data Warehouses kombiniert, um eine flexible und skalierbare Lösung für die Speicherung und Verarbeitung von Daten zu bieten. Databricks ist auf AWS, Azure und Google Cloud Platform verfügbar.

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Data Warehouse Data Lakes Azure AWS 147

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.

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Data Warehouse Azure AWS Database 59

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Snowflake Database Pros Extensive Storage Opportunities Snowflake provides affordability, scalability, and a user-friendly interface.

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Data Warehouse Business Intelligence Business Intelligence Database 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

According to sources from government databases and research institutions, there are around 300,000–600,000 clinical trials conducted globally each year, amplifying this impact by several hundred thousand times. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

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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.

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Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

MARCH 1, 2022

Through Impact Analysis, users can determine if a problem occurred with data upstream, and locate the impacted data downstream. With robust data lineage, data engineers can find and fix issues fast and prevent them from recurring. Similarly, analysts gain a clear view of how data is created.

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Data Warehouse Data Lakes Cloud Data Database 52

phData

FEBRUARY 7, 2024

The Snowflake Data Cloud is a leading cloud data platform that provides various features and services for data storage, processing, and analysis. A new feature that Snowflake offers is called Snowpark, which provides an intuitive library for querying and processing data at scale in Snowflake.

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Python ML ML SQL 52

Alation

JUNE 21, 2022

Why start with a data source and build a visualization, if you can just find a visualization that already exists, complete with metadata about it? Data scientists went beyond database tables to data lakes and cloud data stores. Data scientists want to catalog not just information sources, but models.

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DataOps Data Scientist Data Quality Data Pipeline 52

Alation

AUGUST 16, 2022

This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. These include data analysts, stewards, business users , and data engineers. Alation launched Alation Cloud Service (ACS) in April, 2021.

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Data Quality Data Governance Cloud Data Data Engineer 52

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

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Data Warehouse ETL Tableau Cloud Data 52

phData

JANUARY 24, 2024

Understanding Fivetran Fivetran is a user-friendly, code-free platform enabling customers to easily synchronize their data by automating extraction, transformation, and loading from many sources. Fivetran automates the time-consuming steps of the ELT process so your data engineers can focus on more impactful projects.

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Data Warehouse Data Pipeline Data Governance Data Quality 52

phData

AUGUST 1, 2024

A prime example of this is automating repetitive code performed in many models or implementing a new feature introduced in your cloud data warehouse. It depends on the database we will use for our project. The adapter’s name ( snowflake ) must be passed in for any specific type of database, such as Snowflake.

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SQL Database Data Warehouse Cloud Data 52

phData

JANUARY 4, 2023

Data Sharing Enterprises can easily create data sharing relationships with direct, governed, and secure sharing in near-real time. With Snowflake, organizations can be data consumers, data providers, or both. Ready to Get Started in the Migration to Snowflake?

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Data Warehouse SQL Database ETL 52

phData

SEPTEMBER 27, 2024

Modern business operations rely heavily on data engineering and transformation processes to turn raw data into valuable insights. Matillion, a robust ELT (Extract, Load, Transform) platform, simplifies data integration and transformation complexities with a no-code or high-code experience. What is a Matillion Job?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

AUGUST 30, 2022

Yet it was siloed and locked up in different databases and tools. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This expansive map of tools constitutes today’s modern data stack. In a complex modern data stack, the need for intuitive search grows essential.

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Data Governance Data Quality Tableau Data Analyst 52

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. For behavioral data , Hightouch offers an event tracking SDK to deploy an SDK across your web, server, and mobile apps.

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Data Warehouse Cloud Data Data Models Data Modeling 52

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. This includes users, roles, schemas, databases, and warehouses.

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Clustering Database SQL Data Pipeline 98

DataRobot Blog

MARCH 16, 2023

The DataRobot team has been working hard on new integrations that make data scientists more agile and meet the needs of enterprise IT, starting with Snowflake. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

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Data Scientist ML ML Data Preparation 52

Alation

MARCH 22, 2022

Accenture calls it the Intelligent Data Foundation (IDF), and it’s used by dozens of enterprises with very complex data landscapes and analytic requirements. Simply put, IDF standardizes data engineering processes. They can better understand data transformations, checks, and normalization.

DataOps 52

DataOps Data Pipeline Data Engineer Data Engineering 52

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Later this year, it will leverage watsonx.ai

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AI AI Machine Learning Machine Learning 75

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

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Analytics Vidhya

MAY 24, 2023

As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data.

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Cloud Computing Analytics Analytics Data Engineering 244