DataKitchen

DECEMBER 20, 2020

They give data scientists tools to instantiate development sandboxes on demand. They automate the data operations pipeline and create platforms used to test and monitor data from ingestion to published charts and graphs.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

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. Typically users need to ingest data, transform it into optimal format with quality checks, and optimize querying of the data by visual analytics tool.

Management 115

Management Cost-Benefit Data Transformation Optimization 115

datapine

SEPTEMBER 29, 2022

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. Data time-to-value: evaluates how long it takes you to gain insights from a data set. date, month, and year). million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

JANUARY 30, 2025

Pattern 1: Data transformation, load, and unload Several of our data pipelines included significant data transformation steps, which were primarily performed through SQL statements executed by Amazon Redshift. The following Diagram 2 shows this workflow. The following Diagram 4 shows this workflow.

Data Warehouse 53

Data Warehouse Data Architecture Machine Learning Data Transformation 53

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 98

Dashboards Visualization Metrics Data Transformation 98

Jen Stirrup

NOVEMBER 30, 2021

In this session, we will start R right from the beginning, from installing R through to data transformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames.

Dashboards 92

Dashboards Visualization Data Transformation Publishing 92

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. Managing drafts outside the Catalog keeps a clean distinction between phases of the development cycle, leaving only those flows that are ready for deployment published in the Catalog.

Testing 84

Testing Publishing Metadata Interactive 84

Jen Stirrup

SEPTEMBER 30, 2021

For example, data can be filtered so that the investigation can be focused more specifically. There are a number of Data Transformation modules which help with these area. That said, it’s often better to clean the data further upstream so it is done closer to the source rather than at the end of a spoke.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics.

Visualization 119

Visualization Dashboards Data-driven Gap analysis 119

Cloudera

DECEMBER 21, 2021

This enabled new use-cases with customers that were using a mix of Spark and Hive to perform data transformations. . Secondly, instead of being tied to the embedded Airflow within CDE, we wanted any customer using Airflow (even outside of CDE) to tap into the CDP platform, that’s why we published our Cloudera provider package.

Snapshot 118

Snapshot Data-driven Optimization Management 118

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Now that you have addressed all data quality issues identified on the sample, publish the project as a recipe.

Visualization 98

Visualization Cost-Benefit Data Quality Publishing 98

AWS Big Data

OCTOBER 31, 2023

Data is decompressed and stored in a different S3 bucket (transformed data can be stored in the same S3 bucket where data was ingested, but for simplicity, we’re using two separate S3 buckets). The transformed data is then made accessible to Snowflake for data analysis. Set the protocol to Email.

Data Processing 111

Data Processing Management Publishing Visualization 111

Cloudera

DECEMBER 9, 2022

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. Developers create draft flows , build them out, and test them with the designer before they are published to the central DataFlow catalog.

Testing 100

Testing Cost-Benefit Interactive Visualization 100

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 129

Management Metadata Analytics Dashboards 129

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). This solution uses distance-based filtering to reduce costs and jitter.

Analytics 121

Analytics IoT Metadata Internet of Things 121

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. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. Finally, click “Publish” in the upper right hand corner, and you’re ready to create a dashboard!

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

APRIL 12, 2023

The solution uses the TPC-DS dataset and unmodified data schema and table relationships, but derives queries from TPC-DS to support the SparkSQL test cases. It is not comparable to other published TPC-DS benchmark results. About the Authors Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Testing 100

Testing Big Data Metadata Optimization 100

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

Cloudera

JULY 21, 2022

Cloudera Data Warehouse). Efficient batch data processing. Complex data transformations. Triton Digital, for example, uses Rill to deploy self-serve reporting for hundreds of digital media publishers with little or no training. Apache Hive. Large-scale high throughput analytics. Joins and subqueries . Apache Druid.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

AWS Big Data

FEBRUARY 6, 2023

For data pipeline orchestration, the Apache Airflow UI is a user-friendly tool that provides detailed views into your data pipeline. When it comes to pipeline health management, each service that your tasks are interacting with could be storing or publishing logs to different locations, such as an S3 bucket or Amazon CloudWatch logs.

Management 98

Management Interactive Publishing Metadata 98

AWS Big Data

SEPTEMBER 13, 2024

At this stage, CFM data scientists can perform analytics and extract value from raw data. Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models.

Interactive 102

Interactive Strategy Cost-Benefit Data Governance 102

Insight

APRIL 8, 2020

For example, they may give applicants access to an API and ask them to query data that satisfies some criteria, or they may share a large dataset and asking applicants to perform some sort of data transformation. At Insight, we use a hybrid approach where we give applicants a link to a problem statement detailed on a Github.

Data Warehouse 96

Data Warehouse Cost-Benefit Software Optimization 96

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 113

Data Warehouse KPI Optimization Cost-Benefit 113

Peter James Thomas

MARCH 9, 2020

In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. However, in this initial article, I wanted to to focus on one tool that I have used as part of my Data Strategy engagements; a Data Maturity Model.

Measurement 67

Measurement Data Strategy Strategy Modeling 67

Ontotext

MARCH 27, 2024

For example, a node in an LPG with a given label does not guarantee anything about its properties and data type (because it is a string and represents no semantics). LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python. Provide the following SQL statement.

Data Analytics 99

Data Analytics Analytics IoT Data Lake 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. But what does this mean from a practitioner perspective?

Dashboards 52

Dashboards Metrics Sales Reporting 52

AWS Big Data

APRIL 25, 2023

The following AWS services are used for data ingestion, processing, and load: Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between SaaS applications like Salesforce, SAP, Marketo, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift , in just a few clicks.

Sales 94

Sales Visualization Software Metadata 94

Ontotext

APRIL 4, 2019

Milena Yankova : What we did for the BBC in the previous Olympics was that we helped journalists publish their reports faster. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it. I think artists can relax.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery. The OpenSearch ingestion pipeline, named serverless-ingestion.

Dashboards 83

Dashboards Testing Metrics Optimization 83

Alation

MARCH 22, 2022

This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. They can better understand data transformations, checks, and normalization. They can better grasp the purpose and use for specific data (and improve the pipeline!). Transparency is key.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

FineReport

APRIL 21, 2024

Tableau Desktop offers self-service analytics, while Tableau Server facilitates dashboard publishing. Features include interactive visualizations and native data connectors. It enables seamless data exploration, empowering quick decisions. Tableau provides rich visualization options, as seen with Ocado Retail’s success.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

JULY 26, 2023

At the time of publishing of this post, the AWS CDK has two versions of the AWS Glue module: @aws-cdk/aws-glue and @aws-cdk/aws-glue-alpha , containing L1 constructs and L2 constructs , respectively.

Data Integration 94

Data Integration Snapshot Testing Visualization 94

IBM Big Data Hub

JANUARY 18, 2023

This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems. The data warehouse storage layer is removed from lakehouse architectures. Instead, continuous data transformation is performed within the BLOB storage. Data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Dashboards 52