Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

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Dataconomy

MARCH 20, 2025

By focusing on particular segments of data, Data marts enhance usability and foster agility in data handling, enabling businesses to respond swiftly to market changes. What is a data mart? Dependent data mart A dependent data mart is tightly integrated with a central data warehouse.

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Data Warehouse ETL Data Quality Database 91

Dataversity

SEPTEMBER 24, 2021

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 The reason is pretty obvious – businesses want to leverage the power of data […].

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Data Warehouse Data Quality Data Governance Cloud Data 97

Dataconomy

MAY 27, 2025

An MIS degree does not merely impart programming or database theory but provides students with analytical capacity, leadership potential, and communication prowess to transform technical findings into strategic action. For individuals who aspire to use data to drive positive change, an MIS degree is a solid foundation.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. What Are the Biggest Business Risks to Cloud Data Migration?

Data Warehouse 69

Data Warehouse Cloud Data Data Governance Database 69

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. In this article, we’ll focus on a data lake vs. data warehouse.

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Data Lakes Data Warehouse Hadoop Big Data 59

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Data Quality Data Governance ETL Data Observability 98

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. Data governance challenges Maintaining consistent data governance across different systems is crucial but complex.

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AWS Data Governance Data Silos SQL 86

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

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Data Governance Analytics Analytics Data Quality 52

databricks

JUNE 4, 2025

Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI. Taking place in San Francisco and virtually from June 9-12 , this year’s summit will bring together 20,000+ data leaders and practitioners to explore the impact and future of data and AI.

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AWS AI AI Data Science 130

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

Pickl AI

JUNE 11, 2024

Summary: A data warehouse is a central information hub that stores and organizes vast amounts of data from different sources within an organization. Unlike operational databases focused on daily tasks, data warehouses are designed for analysis, enabling historical trend exploration and informed decision-making.

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Data Warehouse ETL Data Mining Data Mining 52

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

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Data Lakes Data Warehouse Data Quality Data Governance 59

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

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Data Lakes Data Warehouse Database ETL 52

IBM Journey to AI blog

JUNE 15, 2023

The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Moreover, increased regulatory requirements make it harder for enterprises to democratize data access and scale the adoption of analytics and artificial intelligence (AI).

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Data Warehouse Data Lakes Cloud Data Analytics 110

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

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Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataconomy

MAY 26, 2025

Central to their role is the management of data throughout its entire lifecycle, ensuring that data is collected, stored, analyzed, and shared effectively. Data governance: Establishing policies and procedures to ensure data quality and compliance with regulations.

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Data Warehouse Analytics Analytics Data Governance 91

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. In a connected mainframe/cloud environment, data is often diverse and fragmented.

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Analytics Analytics Big Data Analytics Big Data Analytics 72

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

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Data Governance Data Scientist Data Quality Data Profiling 59

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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Data Governance ETL Machine Learning Machine Learning 52

Dataconomy

MAY 26, 2025

As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial. They not only manage extensive data architectures but also pave the way for effective data analytics and innovative solutions. What is a big data engineer?

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

phData

NOVEMBER 9, 2023

What Components Make up the Snowflake Data Cloud? The main goal of a data mesh structure is to drive: Domain-driven ownership Data as a product Self-service infrastructure Federated governance One of the primary challenges that organizations face is data governance. What is a Cloud Data Warehouse?

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Data Warehouse Data Lakes Clustering Cloud Data 98

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.

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Data Lakes Data Warehouse Database Big Data 98

Analytics Vidhya

OCTOBER 25, 2023

This article explores data management’s key tool features and lists the top tools for 2023. Why Use Data […] The post Top 9 Data Management Tools to Use in 2023 appeared first on Analytics Vidhya. These tools will serve as an asset to your enterprise workflow pipeline.

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Database Analytics Analytics Data Warehouse 220

IBM Journey to AI blog

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineer Data Engineering 58

Dataconomy

APRIL 6, 2023

This can lead to better data governance practices and, ultimately, more accurate insights. The relationship between data democratization and data governance While data democratization is an important goal, it is also important to ensure that proper data governance practices are in place to ensure that data is managed appropriately.

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Data Governance Data Silos Data Analysis Data Analysis 118

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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Data Governance ETL Machine Learning Machine Learning 40

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.

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AWS AI AI Data Warehouse 95

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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Data Warehouse AWS AI AI 92

DataRobot

JANUARY 20, 2022

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. Public sector data sharing. Action to take.

Data Science 145

Data Science Data Warehouse Analytics Analytics 145

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 […].

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Analytics Analytics Data Silos Data Lakes 69

IBM Journey to AI blog

JULY 24, 2024

Enhancing AI and analytics with unified data access  Hybrid cloud architectures are proving instrumental in advancing AI and analytics capabilities. For instance, Presto C++ can be used for high-performance, low-latency queries on large datasets, while Spark excels at complex, distributed data processing tasks.

Data Governance 69

Data Governance Data Warehouse Data Preparation Analytics 69

Tableau

MAY 11, 2022

At Tableau, we believe data is most valuable when everyone in an organization can use it to make better, data-driven decisions. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Here’s a look at what we provide today.

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Tableau Data Warehouse Database Data Analyst 98

Tableau

MAY 11, 2022

At Tableau, we believe data is most valuable when everyone in an organization can use it to make better, data-driven decisions. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Here’s a look at what we provide today.

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Tableau Data Warehouse Database Data Analyst 98

phData

APRIL 10, 2023

They needed to create parameters in which I could do just that; in a sense, they needed to govern my expression. In almost every modern organization, data and its respective analytics tools serve to be that big blue crayon. What is Governed Self-Service Analytics? Let’s dive in.

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Analytics Analytics Data Governance Data Modeling 52

Precisely

JULY 12, 2024

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

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Data Quality Data Governance Database Analytics 105

IBM Journey to AI blog

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Data could be persisted in open data formats, democratizing its consumption, as well as replicated automatically which helped you sustain high availability.

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Data Lakes Data Warehouse Data Governance Analytics 78