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

AUGUST 19, 2024

Open the secret blog-glue-snowflake-credentials. For AWS Secret , choose the secret blog-glue-snowflake-credentials. For IAM Role , choose the role that has access to the target S3 location where the job is writing to and the source location from where it’s loading the Snowflake data and also to run the AWS Glue job.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

AWS Big Data

JULY 10, 2024

This allows data analysts and data scientists to rapidly construct the necessary data preparation steps to meet their business needs. We use the new data preparation authoring capabilities to create recipes that meet our specific business needs for data transformations. For Data format , select Parquet.

Interactive 116

Interactive Visualization Data Integration Statistics 116

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

AWS Big Data

OCTOBER 31, 2023

This blog post is co-written with James Sun from Snowflake. Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. Choose Airflow version 2.6.3. Choose Next.

Data Processing 111

Data Processing Management Publishing Visualization 111

AWS Big Data

AUGUST 13, 2024

It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Introducing the SFTP connector for AWS Glue The SFTP connector for AWS Glue simplifies the process of connecting AWS Glue jobs to extract data from SFTP storage and to load data into SFTP storage.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

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 124

Analytics Visualization Data Integration Cost-Benefit 124

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 111

IoT Internet of Things Data Transformation Management 111

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 1, 2023

Provision resources with AWS CloudFormation For the initial setup, you launch an AWS CloudFormation stack to create an S3 bucket to store data, IAM roles for data access, and the AWS Glue crawler and Data Catalog components. This will enable both the CDC steps and the data transformation steps for the Jira data.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

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

Cloudera

JULY 21, 2022

The table below summarizes Hive and Druid key features and strengths and suggests how combining the feature sets can provide the best of both worlds for data analytics. Cloudera Data Warehouse). Large-scale high throughput analytics. Efficient batch data processing. Complex data transformations.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

AWS Big Data

SEPTEMBER 13, 2024

If you’re looking to streamline your data analytics workflow, simplify cross-account data sharing, and reduce operational overhead, consider using Lake Formation and EMR Serverless in your organization. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Interactive 109

Interactive Strategy Cost-Benefit Data Governance 109

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Our Business Perspectives help you make smarter decisions no matter where you are in your analytics journey. Your data is a gold mine and you’re barely scratching the surface of its value!

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 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. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Dashboards 52

Dashboards Metrics Sales Reporting 52

IBM Big Data Hub

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose.  Start modernizing your data infrastructure by trying and purchasing IBM solutions directly from IBM and the AWS Marketplace. 

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

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 98

Data Lake Dashboards Metrics Metadata 98

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Analytics and intelligence for business users and user adoption.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

CDW Research Hub

JULY 23, 2021

Get hands-on experience with the data cloud. Gain experience and understanding of how to drive better business decisions with your data. Our fifth video will demonstrate data transformation and orchestration with Matillion into Snowflake. Learn about current trends.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

AWS Big Data

JULY 31, 2023

You will see the message “Successfully connected to the data store with connection blog-redshift-connection.” Under Data Catalog in the navigation pane, choose Crawlers. This concludes creating data sources on the AWS Glue job canvas. Next, we add transformations by combining data from these different tables.

Sales 52

Sales Data Warehouse Visualization Testing 52

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

AWS Big Data

JULY 20, 2023

Specifically, the system uses Amazon SageMaker Processing jobs to process the data stored in the data lake, employing the AWS SDK for Pandas (previously known as AWS Wrangler) for various data transformation operations, including cleaning, normalization, and feature engineering.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Ontotext

FEBRUARY 12, 2024

For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets. In an era where data analytics means competitive differentiation, it’s critical for decision-makers to have access to the data they need, when they need it.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Ontotext

MARCH 20, 2024

Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company. We are pioneers in knowledge graphs – a revolutionary technology that goes beyond simple data analytics, aggregation, and reporting. Zenia Graph’s Salesforce Accelerator makes this a reality.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Alation

NOVEMBER 22, 2022

It should also give data analysts and scientists the ability to locate, understand, trust, and use data efficiently. For agencies to collaborate, they need a storage option that provides the scalability and flexibility needed for data analytics. Gain visibility into data history. Improve data visibility.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Sisense

FEBRUARY 26, 2020

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

AWS Big Data

DECEMBER 17, 2024

This blog was co-authored by DeNA Co., Among these, the healthcare & medical business handles particularly sensitive data. By using dbt, DeNA could standardize the technical stack, implement data quality tests in maintainable SQL, and connect dbt to a managed service for scalable and cost-effective processing.

Data Quality 91

Data Quality Testing Metrics Optimization 91

AWS Big Data

APRIL 30, 2025

Data engineers and analysts often need to automate their data processing workflows and queries to maintain up-to-date data pipelines and reports. Amazon SageMaker Unified Studio provides a unified environment for data, analytics, machine learning (ML), and AI workloads.

Visualization 73

Visualization Software Machine Learning Reporting 73

AWS Big Data

FEBRUARY 25, 2025

As data volumes continue to swell, these tools can struggle to keep pace with the ever-increasing demand, leading to processing delays and disruptions in data deliverya critical bottleneck in an era when timely insights are paramount. After this step, data is loaded to specified target.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

DataKitchen

JANUARY 23, 2023

Only then can you tell the true impact of a column name change on the data transformations, the models, and the visualization you give to your customers. We must do the same as data analytic teams. DataOps Observability enables this.

Testing 130

Testing Data Governance Data Quality Data-driven 130