Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Well, there’s a hard way of designing and maintaining data models and then there is the Astera’s way.

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Well, there’s a hard way of designing and maintaining data models and then there is the Astera’s way.

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Astera

DECEMBER 21, 2022

Data and analytics are indispensable for businesses to stay competitive in the market. Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 billion by 2026. Ease of Use.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

Sisense

JUNE 26, 2019

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. In this case, you may want to connect live to these sources.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Tableau

APRIL 3, 2023

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

Data Warehouse 98

Data Warehouse Product Management Product Management Visualization 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Cut costs by consolidating data warehouse investments.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Cut costs by consolidating data warehouse investments.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Sisense

JANUARY 15, 2021

While the BI analysts have skills to ask questions of already modeled data, they often lack the coding acumen to query massive unstructured datasets in data lakes or cloud data warehouses. Situation #2: Established company creates a data team for deeper insights.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

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 Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

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 Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Sisense

AUGUST 22, 2019

This means that every exercise is a complex challenge of data engineering, and even when the work is done the results are removed from your visualization and reporting solutions. What’s been missing is a way to natively integrate Python and R with the rest of the data analytics stack. No more data engineering!

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Sisense

OCTOBER 14, 2020

These increasingly difficult questions require sophisticated data models, connected to an increasing number of data sources, in order to produce meaningful answers. Therein lies the power of your data team: Armed with know-how, they connect with the end user teams (internal users, product teams embedding insights, etc.)

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Data integration.

Data Quality 101

Data Quality Government Artificial Intelligence Data Warehouse 101

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Data integration.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. With Astera, you get: A visual drag-and-drop interface that allows users to easily build data pipelines within minutes.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

AUGUST 21, 2023

Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. Based on its name, a star schema is like a star when visualized. This simple, denormalized structure makes it very efficient for querying data.

Data Warehouse 52

Data Warehouse Data Modelling Data Quality Visualization 52

Sisense

FEBRUARY 24, 2021

Sophisticated technical talent who are querying data and building models with languages like SQL, R, and Python need a solution that will empower them to dive deep. Platforms like Sisense enable these teams to quickly explore data through code, visualize the results, or convert them to models written back to AWS Redshift or Snowflake.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

MAY 31, 2024

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

APRIL 27, 2023

This is where data extraction tools from companies like Matillion, Astera , and Fivetran are used to organize and prepare data for a cloud data warehouse. ELT or ETL tools , such as DBT, work within a cloud data warehouse to convert, clean, and structure data, into a format usable by data engineers and analysts.

Data Warehouse 52

Data Warehouse Big Data Data Analytics Data Analytics 52

Astera

DECEMBER 14, 2022

Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The questions that arise, however, are the following: How easy is it to load and maintain data in fact and dimension tables? And Is it worth the effort?

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Tableau

APRIL 3, 2023

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

Data Warehouse 52

Data Warehouse Product Management Product Management Visualization 52

Sisense

MAY 27, 2019

To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience. They enable their business colleagues to visualize findings, trends and patterns based on their analysis.

Skillset 75

Skillset Cloud Computing Visualization Big Data 75

Astera

JANUARY 31, 2024

Its extensibility is evident through components, such as SQL Server Integration Services (SSIS) for ETL , SQL Server Reporting Services (SSRS) for creating and managing reports, SQL Server Analysis Service (SSAS) for analytical data models, and so on. Like other solutions, NiFi has a visual UI to design ETL flows.

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

BI Insight

MARCH 31, 2022

When I decided to write this blog post, I thought it would be a good idea to learn a bit about the history of Business Intelligence. I searched on the internet, and I found this page on Wikipedia.

Business Intelligence 205

Business Intelligence Business Intelligence IBM Support Data Warehouse 205

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Salesforce Data Cloud for Tableau solves those challenges.

Talent Acquisition 55

Talent Acquisition Data Warehouse Data Architecture Visualization 55

Sisense

JUNE 30, 2020

In the traditional sense, it’s the ability to take individual visualizations , individual KPIs, and embed them directly in your workflow. So, as you’re using your favorite tool, you just get a little bit of data, right at the point where that data is going to be the most helpful. PeggySue Werthessen: Everywhere.

Embedded Analytics 59

Embedded Analytics Visualization Data Modelling Data Warehouse 59