DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 154

Testing Dashboards Measurement Experimentation 154

AWS Big Data

NOVEMBER 14, 2024

We use the built-in features of Data Firehose, including AWS Lambda for necessary data transformation and Amazon Simple Notification Service (Amazon SNS) for near real-time alerts. APIs act as the entry point for applications to access data, business logic, or functionality from your backend services.

Data Lake 86

Data Lake Metadata Testing Data-driven 86

DataKitchen

OCTOBER 5, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. to monitor your data operations. DataOps Industry Challenges. This call is from the CEO?his

Testing 173

Testing Risk Data Processing Statistics 173

Cloudera

OCTOBER 7, 2022

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. The Open Data Lakehouse . Cloudera builds dbt adaptors for all engines in the open data lakehouse.

Data Warehouse 80

Data Warehouse Data Transformation Testing Data Lake 80

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 91

Dashboards Testing Data-driven Visualization 91

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 112

Data Warehouse Testing Data Quality Reporting 112

DataKitchen

OCTOBER 5, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. to monitor your data operations. DataOps Industry Challenges. This call is from the CEO?his

Testing 130

Testing Risk Data Processing Statistics 130

DataKitchen

OCTOBER 25, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. Data journey observability is the first step in implementing DataOps.

Testing 130

Testing Data-driven Visualization Dashboards 130

Cloudera

DECEMBER 9, 2022

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow.

Testing 100

Testing Cost-Benefit Interactive Visualization 100

Jen Stirrup

SEPTEMBER 30, 2021

They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way. Data Science – Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Credit: [link].

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

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 94

Metadata Data Lake Visualization Data Transformation 94

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

datapine

SEPTEMBER 29, 2022

What Is Data Quality Management (DQM)? Data quality management is a set of practices that aim at maintaining a high quality of information. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JUNE 24, 2024

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips.

Machine Learning 71

Machine Learning Data Science Data-driven Testing 71

Sisense

AUGUST 28, 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. What is data integrity?

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Testing 83

Testing Publishing Metadata Interactive 83

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. – Leon C. Adapt or face decline.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

AWS Big Data

JUNE 19, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. All columns should masked for them.

Data Warehouse 95

Data Warehouse Testing Sales Structured Data 95

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

AUGUST 9, 2024

AWS offers Redshift Test Drive to validate whether the configuration chosen for Amazon Redshift is ideal for your workload before migrating the production environment. It represents a significant decrease in the delivery time of our critical data analytics processes. We removed the DC2 cluster and completed the migration.

Data Lake 101

Data Lake Analytics Data Warehouse Data-driven 101

AWS Big Data

JULY 26, 2023

To grow the power of data at scale for the long term, it’s highly recommended to design an end-to-end development lifecycle for your data integration pipelines. The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop?

Data Integration 73

Data Integration Snapshot Testing Visualization 73

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively. Identify all upstream and downstream applications, as well as business processes that rely on the data warehouse.

Data Warehouse 92

Data Warehouse KPI Optimization Cost-Benefit 92

O'Reilly on Data

JANUARY 17, 2023

A common task for a data scientist is to build a predictive model. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms. Collectively, your attempts teach you about your data and its relation to the problem you’re trying to solve.

Machine Learning 333

Machine Learning Predictive Modeling Software Modeling 333

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 101

Dashboards Analytics Metadata Data Warehouse 101

AWS Big Data

APRIL 12, 2023

We also share a Spark benchmark solution that suits all Amazon EMR deployment options, so you can replicate the process in your environment for your own performance test cases. 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.

Testing 79

Testing Big Data Metadata Optimization 79

Cloudera

OCTOBER 8, 2024

Detailed Data and Model Lineage Tracking*: Ensures comprehensive tracking and documentation of data transformations and model lifecycle events, enhancing reproducibility and auditability. Background The generative AI landscape is evolving at a rapid pace, marked by explosive growth and widespread adoption across industries.

Optimization 75

Optimization Experimentation Metrics Modeling 75

Octopai

OCTOBER 6, 2022

We’re not sure if data assets experience stress when they have to migrate to a new residence, but certainly all of the humans involved in the data migration process do! What’s a time-tested strategy to ease the packing-and-unpacking part of moving house? Duplicate data Outdated data Redundant data Irrelevant data.

Testing 52

Testing Visualization Data Transformation Strategy 52

Smarten

MAY 13, 2024

To accomplish this interchange, the method uses data mining and machine learning and it contains components like a data dictionary to define the fields used by the model, and data transformation to map user data and make it easier for the system to mine that data. PMML is Predictive Model Markup Language.

Predictive Modeling 65

Predictive Modeling Data mining Predictive Analytics Modeling 65

AWS Big Data

AUGUST 26, 2024

Duplicating data from a production database to a lower or lateral environment and masking personally identifiable information (PII) to comply with regulations enables development, testing, and reporting without impacting critical systems or exposing sensitive customer data. 16 10.2.10.0/24 24 AWS Glue account 10.1.0.0/16

Visualization 100

Visualization Metadata Data Transformation Testing 100

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. Disable the rules after testing to avoid repeated messages.

Data Lake 88

Data Lake Metrics Testing Cost-Benefit 88

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 67

Dashboards Testing Metrics Optimization 67

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Making the most commonly used as readily available as possible is critical to reduce development friction. .

Data Transformation 119

Data Transformation Interactive Machine Learning Testing 119

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. Starting from version 1.2.0, Apache Spark has supported queries written in HiveQL.

Big Data 84

Big Data Data Processing Interactive Testing 84

AWS Big Data

MARCH 16, 2023

This post is co-written by Anish Moorjani, Data Engineer at SafetyCulture. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52