Tableau

OCTOBER 8, 2021

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

Data Science Connect

JULY 22, 2024

Matillion offers a Data Productivity Cloud platform for building and managing data pipelines, enabling AI and analytics at scale. It provides no-code and high-code options for data transformation, real-time data integration, and automation of data workflows.

Data Pipeline 100

Data Pipeline Cloud Data Analytics Analytics 100

phData

AUGUST 6, 2024

As today’s world keeps progressing towards data-driven decisions, organizations must have quality data created from efficient and effective data pipelines. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

Data Pipeline 52

Data Pipeline Python Data Engineering Data Engineering 52

Tableau

OCTOBER 8, 2021

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

The MLOps Blog

MAY 17, 2023

We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. What is an ETL data pipeline in ML? Xoriant It is common to use ETL data pipeline and data pipeline interchangeably.

ETL 59

ETL Data Pipeline ML ML 59

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Elastic cloud resources enable seamless handling of large datasets and computations.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

Tableau 91

Tableau Cloud Data Data Pipeline Analytics 91

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

Power BI 84

Power BI Analytics Analytics Azure 84

Flipboard

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape.

ML 153

ML ML AWS AI 153

phData

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence. On the other hand, cloud data warehouses can scale seamlessly.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. This is where Fivetran and the Modern Data Stack come in.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

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.

Data Warehouse 96

Data Warehouse Data Engineering Data Engineering Data Engineering 96

Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Smart Data Collective

JUNE 20, 2022

The recommendation is to bring a minimal amount of data, development environments, and automation tools to the initial cloud environment, then introduce users and iterate based on their needs. Failing to make production data accessible in the cloud. Centralise new data and computational resources.

Data Engineering 145

Data Engineering Data Engineer Data Engineering Data Engineering 145

AWS Machine Learning Blog

OCTOBER 18, 2023

Rushikesh Jagtap is a Solutions Architect with 5+ years of experience in AWS Analytics services. He is passionate about helping customers to build scalable and modern data analytics solutions to gain insights from the data. Outside of work, he loves watching Formula1, playing badminton, and racing Go Karts.

AWS 114

AWS ML ML Machine Learning 114

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 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. Patil also highlighted the need for pragmatic, data-driven leadership, saying “Every boardroom needs a Spock.” Cloud costs are growing prohibitive.

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52

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 150

Data Science Machine Learning Machine Learning Data Visualization 150

Precisely

JANUARY 19, 2023

Open source is enabling a “modernize in place” approach to mainframe technology by offering community-driven tools to bridge the gap to modern cloud-based systems. Data Integration Enterprises are betting big on analytics, and for good reason. The volume, velocity, and variety of data is growing exponentially.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

Precisely

APRIL 3, 2023

It simply wasn’t practical to adopt an approach in which all of an organization’s data would be made available in one central location, for all-purpose business analytics. To speed analytics, data scientists implemented pre-processing functions to aggregate, sort, and manage the most important elements of the data.

ETL 52

ETL Analytics Analytics Database 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. IDF works natively on cloud platforms like AWS. How the IDF Supports a Smarter Data Pipeline.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Looker Looker, a cloud-based business intelligence platform, focuses on data exploration and analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all.

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

phData

JUNE 26, 2024

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. This can be achieved by, you guessed it, analyzing the data. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. At the same time, there is a stronger push for real-time analytics and real-time customer access to data.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

phData

JANUARY 19, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Check out the API documentation for our sample.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

phData

APRIL 23, 2024

To muddy the waters further, how businesses access their data is inconsistent across sources, from APIs to databases, data streams, and more. Data teams are now tasked with designing and maintaining scaleable, flexible data architecture to support a wide variety of business-critical data-driven reports and analytics.

Data Governance 52

Data Governance Data Pipeline Data Warehouse Cloud Data 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

OCTOBER 11, 2024

The financial services industry is at the forefront of the data transformation era, leveraging data, analytics, and machine learning to optimize a wide range of functions. From credit card processing and insurance underwriting to retail banking, data is reshaping the way these organizations operate.

AI 52

AI AI Data Pipeline ML 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

IBM Journey to AI blog

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

AI 74

AI AI Machine Learning Machine Learning 74