Cloudera

OCTOBER 11, 2021

Modak Nabu relies on a framework of “Botworks”, a series of micro-jobs to accomplish various data transformation steps from ingestion to profiling, and indexing. Cloudera Data Engineering within CDP provides : Fully managed Spark-on-Kubernetes service that hides the complexity running production DE workloads at scale.

Data Lake 92

Data Lake Cost-Benefit Data-driven Dashboards 92

IBM Big Data Hub

APRIL 14, 2023

Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas. Dashboards and reports The system included reports and dashboards based on deployed budget models. Focus areas include IBM solutions financial consolidation and reporting, and data transformation.

Forecasting 68

Forecasting Sales Dashboards Reporting 68

IBM Big Data Hub

OCTOBER 16, 2023

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data.

Risk 72

Risk Modeling Management Metadata 72

Sisense

MARCH 30, 2021

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. 9 is “dashboards will be replaced with automated, conversational, mobile, and dynamically generated insights customized to a user’s needs and delivered to their point of consumption.” Advanced data transformation with Custom Code.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

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. Feel free to explore your data now.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The firm also worked on creating a solid pipeline from the data warehouse to the data lake.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

IBM Big Data Hub

JUNE 15, 2023

watsonx.data supports a variety of query engines Starting with Presto and Spark, watsonx.data provides for a breadth of workload coverage, ranging from big-data exploration, data transformation, AI model training and tuning, and interactive querying. But if you’re not in a hurry, you can take the freeway and save money.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

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. Curious to learn how the data catalog can power your data strategy?

Metrics 52

Metrics Dashboards Sales Reporting 52

Alation

APRIL 4, 2023

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. Integrating helpful metadata into user workflows gives all people, from data scientists to analysts , the context they need to use data more effectively. Stay tuned for more exciting updates soon!

Metadata 52

Metadata Cost-Benefit Data Transformation Predictive Modeling 52

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

Cloudera

FEBRUARY 8, 2021

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . b) Basic data transformation. Go to runner.py and run it.

Machine Learning 74

Machine Learning Statistics Modeling Dashboards 74

AWS Big Data

SEPTEMBER 19, 2023

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 80

Analytics Risk Big Data Machine Learning 80

Alation

DECEMBER 7, 2021

This platform should: Connect to diverse data sources (on-prem, hybrid, legacy, or modern). Extract data quality information. Monitor data anomalies and data drift. Track how data transforms, noting unexpected changes during its lifecycle. Subscribe to Alation's Blog.

Data Quality 52

Data Quality Data-driven Metrics Dashboards 52

Sisense

OCTOBER 30, 2019

A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Improved visibility into insights will enable you to get more out of them.

Data-driven 70

Data-driven Reporting Slice and Dice Management 70

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 For Name , enter emr-delta-blog. For Type , choose Spark.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 86

Data Lake Data Architecture Metadata Data Warehouse 86

BizAcuity

APRIL 1, 2023

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume For all data sources used in the Power BI service, the following considerations and limitations apply.

Optimization 52

Optimization Dashboards Sales Modeling 52

AWS Big Data

MAY 3, 2023

This is a guest blog post co-written with SangSu Park and JaeHong Ahn from SOCAR. As companies continue to expand their digital footprint, the importance of real-time data processing and analysis cannot be overstated. The following diagram shows an example of data transformations in the handler component.

IoT 104

IoT Internet of Things Data Transformation Management 104

BizAcuity

SEPTEMBER 21, 2022

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume. The post Handling Large Volumes of Data in Power BI appeared first on BizAcuity Solutions Pvt.

Optimization 52

Optimization Dashboards Sales Modeling 52

Alation

JANUARY 17, 2023

These help data analysts visualize key insights that can help you make better data-backed decisions. ELT Data Transformation Tools: ELT data transformation tools are used to extract, load, and transform your data. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jet Global

MARCH 13, 2024

Between complex data structures, data security questions, and error-prone manual processes, merging data from disparate sources into a single system can quickly turn your routine reporting processes into a stressful and time-consuming ordeal.

Reporting 52

Reporting Finance Data Quality Sales 52

Anmut

APRIL 6, 2022

In our experience, organisations fail to maximise the value of data because, although leaders talk about data as a valuable asset, they don’t actually manage it like an asset. We’ll also introduce steps you can take to implement data asset management and extract maximum value from your organisation’s data.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Sisense

APRIL 10, 2020

Healthy Data is your window into how data is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 71

Reporting Metrics Optimization Data Lake 71

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?” Will every department need access to BI and dashboards?

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. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

OCTOBER 28, 2021

Dashboards are useful means to track such change. Subscribe to Alation's Blog. Get the latest data cataloging news and trends in your inbox. The post The Rising Need for Data Governance in Healthcare appeared first on Alation. At this point, you should reference back to the goals you set in Step 1.

Data Governance 52

Data Governance Measurement Metrics Modeling 52