Cloudera

OCTOBER 13, 2020

At the heart of CDP is SDX , a unified context layer for governance and security, that makes it easy to create a secure data lake and run workloads that address all stages of your data lifecycle (collect, enrich, report, serve and predict). Enrich – Data Engineering (Apache Spark and Apache Hive). This is Now.

Data Warehouse 92

Data Warehouse Machine Learning Visualization Data Lake 92

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 130

Metadata Data Transformation Business Intelligence Reporting 130

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 77

Dashboards Statistics Data Collection Business Intelligence 77

Octopai

DECEMBER 11, 2022

It’s for that reason that even as the first BCBS-239 implementation deadline came into effect a few years ago, McKinsey reported that one-third of Global Systemically Important Banks had focused on “documenting data lineage up to the level of provisioning data elements and including data transformation.”.

Insurance 52

Insurance Risk Metadata Reporting 52

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.

Data Lake 86

Data Lake Metrics Testing Cost-Benefit 86

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 Cost-Benefit Data-driven 90

AWS Big Data

APRIL 25, 2024

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

DataKitchen

OCTOBER 5, 2021

The data organization wants to run the Value Pipeline as robustly as a six sigma factory, and it must be able to implement and deploy process improvements as rapidly as a Silicon Valley start-up. The data engineer builds data transformations. Their product is the data. Prevent “reinventing of the wheel.” .

Testing 152

Testing Dashboards Measurement Experimentation 152

CIO Business Intelligence

OCTOBER 18, 2022

Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project. You’d scan your credit card to get your concessions or your hat, or pay cash, and the team wouldn’t see that report until the next day or the next week.”.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Sisense

MARCH 14, 2021

Before we dive into the topics of big data as a service and analytics applied to same, let’s quickly clarify data analytics using an oft-used application of analytics: Visualization! 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 Warehouse Data-driven 52

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console.

Analytics 96

Analytics IoT Metadata Internet of Things 96

AWS Big Data

OCTOBER 12, 2023

AWS Step Functions is a serverless orchestration service that enables developers to build visual workflows for applications as a series of event-driven steps. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use.

Big Data 107

Big Data Data-driven Management Visualization 107

FineReport

APRIL 21, 2024

Embedded BI platforms deliver real-time reporting and advanced analytics within users’ workflow context, enabling all users to make informed decisions regardless of their analytic skills. This complexity extends to report generation , resulting in prolonged decision-making processes and reliance on scarce resources.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

MAY 9, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run.

Visualization 75

Visualization Marketing Big Data IT 75

DataKitchen

JULY 27, 2023

Azure Blob Storage serves as the data lake to store raw data. Azure Databricks, a big data analytics platform built on Apache Spark, performs the actual data transformations. The transformed data is then served to Power BI, where it can be transformed, visualized, and further explored.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 106

Management Metadata Analytics Dashboards 106

Alation

JANUARY 17, 2023

Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. You should pick those that allow for easy integration and can create beautiful data visualizations. These help data analysts visualize key insights that can help you make better data-backed decisions.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

NOVEMBER 15, 2023

They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. The difference lies in when and where data transformation takes place.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.

Management 111

Management Cost-Benefit Data Transformation Optimization 111

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Factory. Everything is visual. Azure Synapse Analytics.

Data Lake 113

Data Lake Analytics Data Warehouse Machine Learning 113

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables.

Testing 130

Testing Data-driven Visualization Dashboards 130

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. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

Sisense

DECEMBER 12, 2019

The 4 signs include: Reporting is done manually in Excel and is time consuming Difficulty pulling and joining data from multiple data sources Inability to access and utilize the data collected to see insights Need for data visualization in real time. Will every department need access to BI and dashboards?

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

Alation

JUNE 28, 2022

Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands. Track data lineage: Document data origins, record data transformation and movement, and visualize flow throughout the entire data lifecycle.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever.

Metadata 52

Metadata ROI Optimization Data Quality 52

Sisense

MAY 11, 2021

Maybe one of the most common applications of a data model is for internal analysis and reporting through a BI tool. In these cases, we typically see raw data restructured into facts and dimensions that follow Kimball Modeling practices. building connections via business logic between two data sources) Merging (e.g.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

Occam's Razor

OCTOBER 19, 2010

I consider it my business as a web analyst, to report on how well the site is being indexed, keywords it is showing up for (but not getting clicks for), changes in trends for impression share and clicks on search engines (via the brand spanking new Google Webmaster Tools report) etc. of these three tools: ~ Yahoo! You may not.

Analytics 135

Analytics Testing Measurement Optimization 135

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e.,

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Choose Update.

Data Lake 84

Data Lake Data Transformation Cost-Benefit Data-driven 84

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

DataKitchen

JANUARY 23, 2023

For example, a data error may only be apparent when combined with other data or used in a specific analysis or report. Additionally, data lineage may not capture the impact of data errors on downstream systems or processes. Which report tab is wrong? Which production job filled that report?

Testing 130

Testing Data Governance Data Quality Data-driven 130