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Dataversity
MARCH 21, 2022
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.
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Dataversity
DECEMBER 7, 2020
Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].
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ElegantJ BI
FEBRUARY 14, 2017
The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!
ElegantJ BI
OCTOBER 1, 2020
The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. What is Augmented Data Preparation?
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ElegantJ BI
JUNE 19, 2018
You will notice that I said ‘sometimes’ That is because you have to choose the right tool if you want to really participate in self-serve data preparation.
130 
ElegantJ BI
JUNE 19, 2018
You will notice that I said ‘sometimes’ That is because you have to choose the right tool if you want to really participate in self-serve data preparation.
130 
ElegantJ BI
JUNE 19, 2018
You will notice that I said ‘sometimes’ That is because you have to choose the right tool if you want to really participate in self-serve data preparation.
130 
Astera
FEBRUARY 28, 2024
52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.
ElegantJ BI
DECEMBER 7, 2017
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?
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ElegantJ BI
DECEMBER 7, 2017
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?
130 
ElegantJ BI
DECEMBER 7, 2017
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?
130 
ElegantJ BI
OCTOBER 1, 2020
The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. What is Augmented Data Preparation?
130 
ElegantJ BI
JUNE 17, 2015
Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.
ElegantJ BI
JUNE 17, 2015
Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.
ElegantJ BI
JUNE 17, 2015
Do We Still Need a Data Warehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. Big Data Discovery – Rita Sallam. Interactive Visualizations for Everyone – Rita Sallam. Mobile BI – It’s Time to Innovate – Bhavish Sood.
ElegantJ BI
FEBRUARY 14, 2017
The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!
130 
ElegantJ BI
FEBRUARY 14, 2017
The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!
130 
Smart Data Collective
JULY 22, 2019
Looker is a data-discovery BI tool that helps companies of different scales find the best business solutions thanks to real-time data access. It can analyze practically any size of data. Its analytics can integrate with different SQL databases and different data warehouses.
Analysts Corner
AUGUST 13, 2023
The Process of Data Profiling The data profiling process typically involves the following steps: 1. Data Collection: The first step is to gather data from various sources. This could include databases, data warehouses, file systems, or external data feeds.
130 
ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
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ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
130 
ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
130 
Actian
OCTOBER 23, 2018
Data warehouses have been around for decades, and have established themselves as reliable reporting systems with consistent value. They have also evolved into data marts, specialized appliances and EDW variants to meet emerging needs, but all of these solutions have their drawbacks when it comes to meeting today’s business demands.
Tableau
MAY 11, 2022
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. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)
Tableau
MAY 11, 2022
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. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)
Data Pine
MAY 9, 2019
Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.
Astera
FEBRUARY 27, 2024
52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.
Astera
FEBRUARY 27, 2024
52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.
Data Pine
SEPTEMBER 27, 2022
The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. The book covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access.
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Domo
MAY 13, 2021
Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.
Astera
APRIL 28, 2023
Additionally, AI-powered data modeling can improve data accuracy and completeness. For instance, Walmart uses AI-powered smart data modeling techniques to optimize its data warehouse for specific use cases, such as supply chain management and customer analytics.
40 
Actian
OCTOBER 21, 2019
When we engage with prospects, they typically tell us that they wish to simplify their data ecosystem and bring the analytics capabilities to the data, rather than duplicating all of their data assets in a cloud data warehouse environment. High performing analytics that thrives under demanding scenarios.
40 
Astera
MARCH 28, 2024
While a data catalog serves as a centralized inventory of metadata, a data dictionary focuses on defining data elements and attributes, describing their meaning, format, and usage. The former offers a comprehensive view of an organization’s data assets.
Astera
MARCH 20, 2024
The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.
GAVS Technology
JUNE 2, 2021
Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes.
52 
Astera
SEPTEMBER 4, 2024
AI/ML-Based Automation & Integration: AI or ML (Machine Learning)- based algorithms help automate tasks such as data discovery, retrieval, structure recognition, and data analysis. Automating tasks facilitates data integration activities, helping your organization manage high volumes of complex data from disparate sources.
Astera
JULY 13, 2023
The Six Steps of Data Wrangling Data wrangling is more than just preparing data for analysis; it is a dynamic process of refining and optimizing data to uncover insights. If you are new to data wrangling, it can be overwhelming to know where to start.
Astera
MAY 30, 2024
This approach often involves more complex processes like drill-down, data discovery, mining, and correlations. Astera lays the groundwork for analytical capabilities by ensuring data is not only accessible but primed for analysis, allowing businesses to react swiftly to market dynamics and internal feedback loops.
Astera
MAY 14, 2024
Using precise policies and standards, this practice helps you manage data about your data (metadata) and monitors its quality and relevance, ensuring compliance with regulations. These insights allow cost-saving costs and enhanced data warehouse efficiency. PII under EU GDPR or internal team data).
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ElegantJ BI
JANUARY 10, 2019
Kartik Patel, CEO of ElegantJ BI, says, “The Smarten product continues to evolve in exciting and productive ways with Natural Language Processing (NLP) and Clickless Search Analytics that allow every business user to ask questions, receive answers and perform analysis without the specialized skills of a data scientist.”
130 
ElegantJ BI
JANUARY 10, 2019
Kartik Patel, CEO of ElegantJ BI, says, “The Smarten product continues to evolve in exciting and productive ways with Natural Language Processing (NLP) and Clickless Search Analytics that allow every business user to ask questions, receive answers and perform analysis without the specialized skills of a data scientist.”
130 
ElegantJ BI
JANUARY 10, 2019
Kartik Patel, CEO of ElegantJ BI, says, “The Smarten product continues to evolve in exciting and productive ways with Natural Language Processing (NLP) and Clickless Search Analytics that allow every business user to ask questions, receive answers and perform analysis without the specialized skills of a data scientist.”
130 
ElegantJ BI
NOVEMBER 16, 2016
If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Self-Serve Analytical Capability (see Data Discovery) Not every business intelligence solution supports true, self-serve data analysis.
130 
ElegantJ BI
NOVEMBER 16, 2016
If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Self-Serve Analytical Capability (see Data Discovery) Not every business intelligence solution supports true, self-serve data analysis.
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