Smart Data Collective

JANUARY 24, 2020

Speeding up the pipeline with machines would be an example of that, as would providing better response times for customer queries with chatbots. The Shift in Focus from CI Pipelines to DevOps Assembly Lines. In 2019, expect a seismic shift from CI pipelines to DevOps assembly lines. A CI/CD pipeline can be automated as well.

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Cprime

MARCH 6, 2024

Legacy approaches to coding are no longer sustainable. Fortunately, the future is here—one where developers focus on creative design and problem solving while tedious tasks disappear using an AI coding assistant. There’s no flow state for code or thought. Together, these components transform legacy coding practices.

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Cprime

SEPTEMBER 9, 2021

In this blog post, we’ll discuss the thought process you’ll need to have as you add security tools to your CICD pipelines. In this blog post, we’ll discuss the thought process you’ll need to have as you add security tools to your CICD pipelines. Static Code Analysis Tools. A General Mental Framework.

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BizAcuity

APRIL 1, 2023

For either method, you could either use a hand-coded method or leverage any number of the available ETL or ELT data integration tools. Together, these two solutions enable customers to manage their data ingestion and transformation pipelines with more ease and flexibility than ever before.

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Cprime

NOVEMBER 20, 2020

You’ve now got a CI/CD pipeline—that’s awesome! In this blog post, we will explore some quick off-the-shelf tools you can quickly add to your CI/CD pipelines to add value. The very first things you need to have in your CI/CD pipeline are the tools to deploy where your software is going to live. 1: Tools for Deploying.

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Astera

JUNE 6, 2023

In the evolving technology age of today, the utilization of the best data pipeline tools is paramount. The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. What Is a Data Pipeline?

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Astera

FEBRUARY 26, 2024

Astera streamlines data integration with a fully no-code approach, enabling business users to execute their data management tasks easily while saving significant resources. In this article, we will explore the top 5 ETL tools for Azure Data Warehouse that can help streamline data integration and improve overall analytics performance.

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Smart Data Collective

FEBRUARY 6, 2020

When developers use Docker, they can automatically deploy applications within available containers; these containers (think like files in Windows) are collectively known as a “ container registry “ Hence, you can drastically improve your software development process by storing images of code in these registries.

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Domo

APRIL 17, 2024

Coding skills aren’t required. With the Salesforce connector, for example, you can visualize your pipeline amount, number of leads, number of bookings, and meeting data all in one place. A connector just grabs it all in, allows us to take a peek, see what’s working, see what’s not working, and make those changes.”

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Astera

JUNE 13, 2023

Data pipelines are a fundamental element in today’s technology landscape, providing seamless data movement and valuable insights for businesses. In this article, we will explore the concept of data pipelines, their key components, and the various use cases and benefits they offer. What is a Data Pipeline?

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Astera

JANUARY 19, 2024

Astera Astera is an enterprise-grade unified end-to-end data management platform that enables organizations to build automated data pipelines easily in a no-code environment. API-centric platform allowing the creation of low-code applications. Repository of pre-built integration processes, connectors, and reusable assets.

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Astera

JUNE 13, 2023

This is where the concept of a data pipeline comes into play. Data pipelines serve as the backbone of data integration and processing, enabling seamless and automated movement of data from various sources to its destination. What is a Data Pipeline?

Data Warehouse 52

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Astera

JUNE 13, 2023

This is where the concept of a data pipeline comes into play. Data pipelines serve as the backbone of data integration and processing, enabling seamless and automated movement of data from various sources to its destination. What is a Data Pipeline?

Data Warehouse 52

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Astera

JUNE 13, 2023

This is where the concept of a data pipeline comes into play. Data pipelines serve as the backbone of data integration and processing, enabling seamless and automated movement of data from various sources to its destination. What is a Data Pipeline?

Data Warehouse 52

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Astera

NOVEMBER 14, 2023

These techniques include custom validation to maintain data integrity, data enrichment to enhance provided information , data transformations for seamless data exchange, and data pipelines for processing data efficiently. Proper data transformations can significantly reduce the complexity of client-side code and improve usability.

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Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. With Astera, you get: A visual drag-and-drop interface that allows users to easily build data pipelines within minutes.

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Cprime

JUNE 11, 2021

The Traditional DevOps Pipeline. The usual DevOps pipeline starts with the developer committing the code using Git to the repositories. And when the new code is pushed to the repository, the continuous integration tool in the codebase (Jenkins, Travis CI, CircleCI, and so on) takes this code and builds it.

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Cprime

DECEMBER 1, 2021

It means that if you add just one extra step to your CI/CD pipeline, that will execute a security scan that’s not DevSecOps. In order to truly benefit from DevSecOps, you can’t treat security as yet another checkbox to tick in your pipeline. Start by checking code for security flaws already in the code writing steps.

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Agilemania

SEPTEMBER 5, 2022

DevOps and the Continuous Delivery Pipeline. DevOps enables the Continuous Delivery Pipeline or CDP. Infrastructure as Code / Service. SAFe® is built around seven Core Competencies with Customers as a focal point in the center. One of the Dimensions of Agile Product Delivery core competency. CALMR Approach to DevOps.

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Marutitech

SEPTEMBER 18, 2020

As CI/CD pipeline requires frequent code changes, the role of QA in CI/CD pipeline becomes indispensable. Let us understand the importance of CI/CD pipeline automation testing and get to know some actionable tips from our QA team on how to implement QA in the CI/CD pipeline. Importance of QA in CI/CD Pipeline.

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Astera

APRIL 28, 2023

It should also be scalable and feature an intuitive, no-code interface, making it easy for technical and non-technical users to create automated data pipelines for streamlined reporting and business intelligence. Serving as a unified data management solution.

Data Management 93

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Astera

FEBRUARY 9, 2024

What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on tool costs? Data transformation and analysis require complex coding and scripting skills, such as SQL, Python, and R. Automated credit risk assessment workflows allow you to do just that. Let’s explore how!

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

FEBRUARY 9, 2024

What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on tool costs? Data transformation and analysis require complex coding and scripting skills, such as SQL, Python, and R. Automated credit risk assessment workflows allow you to do just that. Let’s explore how!

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

JUNE 6, 2023

Find out How Automating ETL Pipelines with Astera Data Stack Astera Data Stack’s no-code data pipeline is a powerful platform that automates ETL (Extract, Transform, Load) pipelinesprocesses, revolutionizing data integration. Types of ETL Architectures Batch ETL Architecture: Data is processed at scheduled intervals.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Smart Data Collective

APRIL 2, 2019

The combination of the object-oriented design of data structures combined with top-down design for the processing pipelines that relates these data structures across tables is a key aspect of the coding process for a data lake’s embedded cleaning and relational system. The Thrust for Data Lake Creation.

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Astera

MARCH 20, 2023

By acting as an abstraction layer, the model can be modified for data warehousing without affecting the database itself. By acting as an abstraction layer, the model can be modified for data warehousing without affecting the database itself. Moreover, Astera’s data models are designed and deployed in an automated, code-free environment.

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Astera

MARCH 20, 2023

By acting as an abstraction layer, the model can be modified for data warehousing without affecting the database itself. By acting as an abstraction layer, the model can be modified for data warehousing without affecting the database itself. Moreover, Astera’s data models are designed and deployed in an automated, code-free environment.

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Smart Data Collective

MAY 14, 2019

Tools like Jenkins provide DevOps teams with the ability to automate each stage of the delivery pipeline. It treats the code no differently whether it is in the development phase, QA, or on a production server. This allows for smaller and more frequent updates. Continuous delivery (CD) allows for rapid release software delivery.

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Cprime

MARCH 9, 2023

Teams can use Bitbucket for code collaboration and version control, which enables them to manage their source code, collaborate on code changes, and deploy code to production. To streamline internal DevOps culture, team leaders can customize Bitbucket to run automated code quality checks on every pull request.

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Astera

OCTOBER 19, 2023

By limiting access to sensitive data pipelines or architectures, preparation tools can enhance accuracy by reducing the risk of errors and ensure compliance with data protection regulations. Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors.

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Smart Data Collective

MAY 18, 2022

A platform integrated into DevOps and CI/CD pipelines can do much more than just provide basic reporting. QA teams need a data analytics platform that would help them work effectively in a number of areas: Run simple automated tests. Writing scripts and running complex automated tests. Data reporting. Deep data analysis.

Data Analytics 265

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Astera

MAY 25, 2023

SSIS (SQL Server Integration Services) provides a graphical interface that facilitates a no-code approach to creating an automated ETL process. However, it’s important to note that coding may be required for certain scenarios, and these scenarios may be complex.

Cloud Computing 52

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Smart Data Collective

JULY 20, 2021

This ETL integration software allows you to build integrations anytime and anywhere without requiring any coding. This tool helps professionals collect real-time pipeline trends, sales engagement, and historical performance that help sales leaders revolutionize forecasting by predicting the sales revenue efficiently.

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Astera

FEBRUARY 27, 2024

Fewer Errors Manual data processes are vulnerable to human errors , such as incorrect entries and wrong calculations to transposition mistakes. Automated transcript processing decreases errors and ensures more accurate transcript data. Better Scalability Manual transcript processing offers limited scalability.

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Documentation Data Security Data Quality 52

Leading Agile

JUNE 8, 2018

This is the final instalment in a series of posts that walks you through test-driving a microservice and setting up a working continuous delivery pipeline to deploy it to the cloud automatically. Now it’s time to complete the rest of the delivery pipeline: Continuous integration, static code analysis, and automated deployment.

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Astera

JANUARY 13, 2023

ELT is also more flexible in terms of tailoring pipelines as per the change in the use case requirements since data transformation is the final step — unlike ETL, where any subsequent changes would require the entire data pipeline to be built from scratch. The Advent of Cloud Data Warehousing and Data Lakes. ELT in the Era of Cloud.

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Data Warehouse Data Management Big Data Business Intelligence 52

Astera

OCTOBER 25, 2023

It is an essential part of ETL or ELT (Extract, Load, and Transform) data pipelines. Traditionally, it takes anywhere from hundreds to thousands of lines of code to build ETL or ELT pipelines. However, with a no-code ETL tool , you can easily build these pipelines on a visual canvas, known as a dataflow.

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