Ontotext

NOVEMBER 18, 2021

Picture this – you start with the perfect use case for your data analytics product. And all of them are asking hard questions: “Can you integrate my data, with my particular format?”, “How well can you scale?”, “How many visualizations do you offer?”. Nowadays, data analytics doesn’t exist on its own.

Visualization 98

Visualization Reporting Metadata Enterprise 98

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 101

Metadata Data Lake Visualization Data Quality 101

FineReport

JUNE 7, 2024

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 110

Visualization Dashboards Data-driven Gap analysis 110

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Factory. Azure Data Explorer. Azure Synapse Analytics. Everything is visual.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Transforming data into value What is a data scientist?

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 110

Analytics Visualization Data Integration Cost-Benefit 110

AWS Big Data

OCTOBER 11, 2023

The lift and shift migration approach is limited in its ability to transform businesses because it relies on outdated, legacy technologies and architectures that limit flexibility and slow down productivity. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.

Management 117

Management Metadata Analytics Dashboards 117

AWS Big Data

AUGUST 13, 2024

AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. For this example, you use AWS Glue Studio to develop a visual ETL pipeline. Choose the Job details tab.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

AWS Big Data

DECEMBER 21, 2023

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Create job and Visual ETL.

Analytics 107

Analytics IT Data Lake Visualization 107

AWS Big Data

DECEMBER 5, 2023

This dynamic tool, powered by AWS and CARTO, provided robust visualizations of which regions and populations were interacting with our survey, enabling us to zoom in quickly and address gaps in coverage. This cut down significantly on analytical turnaround times.

Measurement 93

Measurement Dashboards Data Warehouse Analytics 93

DataKitchen

OCTOBER 5, 2021

While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. That’s the state of data analytics today. . Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines. Their product is the data.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

AUGUST 9, 2024

With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. We removed the DC2 cluster and completed the migration.

Data Lake 107

Data Lake Analytics Data Warehouse Data-driven 107

AWS Big Data

DECEMBER 4, 2024

Her special areas of interest are data analytics, machine learning/AI, and application modernization. Rada Stanic is a Chief Technologist at Amazon Web Services, where she helps ANZ customers across different segments solve their business problems using AWS Cloud technologies.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

AWS Big Data

AUGUST 19, 2024

After the Pricing Summary Report is generated and stored in Amazon S3, the company can use AWS analytics services to generate interactive BI dashboards and run one-time queries on the report. On the Visual tab, choose Add nodes. Choose Data source – Snowflake in the AWS Glue Studio canvas. Choose the Job details tab.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. This integration empowers users to go from data to predictions and visualizations faster than ever.

Dashboards 80

Dashboards Data-driven Data Integration Data Lake 80

Sisense

DECEMBER 12, 2019

Your data is a gold mine and you’re barely scratching the surface of its value! Here’s the crux of the problem: businesses have become masters at collecting data but are failing to invest in a business intelligence and data analytics solution to derive value from that data.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Big data analytics case study: SkullCandy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. He is a Bigdata enthusiast and holds 14 AWS Certifications.

Data Lake 93

Data Lake Metrics Cost-Benefit Testing 93

AWS Big Data

AUGUST 1, 2023

You can do this by updating the CloudFormation stack with a flag that includes the CDC and data transformation steps. This will enable both the CDC steps and the data transformation steps for the Jira data. The DataBrew job performs data transformation and filtering tasks. Choose Update.

Data Lake 92

Data Lake Data Transformation Data-driven Cost-Benefit 92

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. The following sample email provides operational metrics for the AWS Glue Data Quality ruleset evaluation.

Data Quality 81

Data Quality Metrics Data-driven Visualization 81

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data-driven Data Warehouse 52

AWS Big Data

OCTOBER 31, 2023

Another method to visualize the results is directly from the Snowflake console using the Snowflake worksheet. We also orchestrated the data pipeline using Amazon MWAA, which ran tasks related to data transformation as well as Snowflake queries. Bosco Albuquerque is a Sr.

Data Processing 102

Data Processing Management Publishing Visualization 102

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches.

Analytics 109

Analytics IoT Metadata Internet of Things 109

Alation

JUNE 28, 2022

Establish business glossaries: Define business terms and create standard relationships for data governance. Collaborate more effectively: Break down data silos for better understanding of data assets across all business units. Enhance the user experience: Create a shared source of truth for all users to build confidence in data.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring. Platform architects define a well-architected platform.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

JULY 31, 2023

We create the insert_orders_fact_tbl AWS Glue job manually using AWS Glue Visual Studio. Select Visual with a blank canvas , then choose Create. Navigate to the Visual tab. Under Add nodes , enter Glue in the search bar and choose AWS Glue Data Catalog (Source) to add the Data Catalog as the source.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

SEPTEMBER 13, 2024

The bulk of our data scientists are heavy users of Jupyter Notebook. Jupyter notebooks are interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 90

Data Lake Dashboards Metrics Metadata 90

AWS Big Data

MARCH 3, 2023

While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source. The Amazon S3 sink connector further streams data into Amazon S3 in real time by partitioning data into fixed-sized files.

Software 52

Software Data Lake Testing Cost-Benefit 52

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52