Data Engineering Podcast

JANUARY 15, 2022

Summary Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. What are the core principles of data engineering that have remained from the original wave of ETL tools and rigid data warehouses?

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Engineering Electronics Data Pipeline ETL Tools 100

Scott Logic

APRIL 22, 2024

You can directly upload a data set, or it can come through some cort of ingestion pipeline using an ETL tool such as Amazon Glue. Predictive BI insights with Amazon QuickSight Amazon QuickSight is AWS’s offering in the business intelligence dashboard space.

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BI Software Engineer Software Engineering Algorithm 97

Grouparoo

SEPTEMBER 7, 2021

Tools like Fivetran, Airbyte, Meltano, and others are focused on getting data into a data warehouse, and tools like dbt are focused on transforming that data into understandable and uniform data for teams to analyze. You can read more about the Modern Data Stack here. The data journey and stack usually ended here.

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ETL Tools Data Warehouse Business Intelligence Datasets 52

Towards Data Science

NOVEMBER 4, 2023

Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? ") Apache Airflow , for example, is not an ETL tool per se but it helps to organize our ETL pipelines into a nice visualization of dependency graphs (DAGs) to describe the relationships between tasks. What is it?

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Data Engineering Data Engineer Engineering BI 98

AltexSoft

OCTOBER 30, 2021

Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Then, a data scientist uses complex business intelligence tools to present business insights to executives. Providing data access tools.

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ProjectPro

JANUARY 27, 2023

Over the past few years, data-driven enterprises have succeeded with the Extract Transform Load (ETL) process to promote seamless enterprise data exchange. This indicates the growing use of the ETL process and various ETL tools and techniques across multiple industries.

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BI ETL Tools Retail Healthcare 52

AltexSoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. On the other hand, independent data marts require the complete ETL process for data to be injected. Hybrid data marts.

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Data Lake Data Warehouse ETL Tools Database 64

ProjectPro

SEPTEMBER 30, 2014

If you encounter Big Data on a regular basis, the limitations of the traditional ETL tools in terms of storage, efficiency and cost is likely to force you to learn Hadoop. Having said that, the data professionals cannot afford to rest on their existing expertise of one or more of the ETL tools.

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Knowledge Hut

APRIL 19, 2023

Apache NiFi: An open-source data flow tool that allows users to create ETL data pipelines using a graphical interface. Talend: A commercial ETL tool that supports batch and real-time data integration.It provides connectors for data sources and symbols, as well as a visual interface for designing ETL pipelines.

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Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Monte Carlo

SEPTEMBER 8, 2021

It’s a new approach to making data actionable and solving the “last mile” problem in analytics by empowering business teams to access—and act on—transformed data directly in the SaaS tools they already use every day.

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ETL Tools Data Warehouse BI Data Pipeline 52

Knowledge Hut

MAY 9, 2024

Responsibilities Big data engineers build data pipelines, design and manage data infrastructures such as big data frameworks and databases, handle data storage, and work on the ETL process. Average Annual Salary of Business Intelligent Analyst A business intelligence analyst earns $87,646 annually, on average.

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AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. How Apache Kafka streams relate to Franz Kafka’s books.

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Kafka Hadoop Big Data ETL Tools 93

Ascend.io

AUGUST 31, 2023

The Data Warehouse Pattern The heart of a data warehouse lies in its schema, capturing intricate details of business operations. This unchanging schema forms the foundation for all queries and business intelligence. However , to reduce the impact on the business, a data warehouse remains in use.

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Data Lake Data Warehouse ETL Tools Data Pipeline 52

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Reduce ingest latency and complexity: Multiple point solutions were needed to move data from different data sources to downstream systems.

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Kafka Manufacturing Data Lake SQL 88

Grouparoo

DECEMBER 7, 2021

Organizations collect and leverage data on an ever-expanding basis to inform business intelligence and optimize practices. Data allows businesses to gain a greater understanding of their suppliers, customers, and internal processes. Read more about our Reverse ETL Tools. featured image via unsplash

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Data Integration Manufacturing ETL Tools Transportation 52

Silectis

MARCH 9, 2021

The position requires knowledge of cloud services, analytics databases, ETL tools, big data platforms, DevOps, and the fundamentals of the business, all of which make it tough to know where to start. – Demetri Kotsikopoulos , CEO of Silectis 3. Notebooks will continue to gain traction among data engineers in 2021.

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Data Engineering Data Engineer Engineering ETL Tools 52

Monte Carlo

APRIL 4, 2023

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Grouparoo

JANUARY 26, 2022

The same is (ideally) true of the dashboards of data that we use to track our business progress. Data analysts and operational teams use business intelligence tools like Looker or Tableau to report on the transformed data in the warehouse. Many of us on our own personal journey to reach self-actualization.

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Data Warehouse Food ETL Tools Raw Data 52

Edureka

AUGUST 29, 2024

Implement analytics systems: Install and tune such systems for analytics and business intelligence operations. Create Business Reports: Formulate reports that will be helpful in deciding company advisors. Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake.

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Data Engineering Data Engineer Engineering Generalist 40

Monte Carlo

FEBRUARY 15, 2023

A data warehouse is an online analytical processing system that stores vast amounts of data collected within a company’s ecosystem and acts as a single source of truth to enable downstream data consumers to perform business intelligence tasks, machine learning modeling, and more. The following diagram explains how integrations work.

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Data Warehouse Unstructured Data AWS Business Intelligence 52

dbt Developer Hub

JUNE 12, 2023

This table only stores the current attributes for each user, and is then loaded into the various SaaS platforms via Reverse ETL tools. There is also an option to build an aggregated model before loading it in a Business Intelligence tool.

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Building ETL Tools Machine Learning Data Warehouse 59

AltexSoft

MARCH 30, 2023

Besides that, it’s fully compatible with various data ingestion and ETL tools. What Databricks is used for Use cases for Databricks are as diverse and numerous as the types of data and the range of tools and operations it supports. Framework Programming The Good and the Bad of Node.js

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Scala Data Lake BI Machine Learning 64

Knowledge Hut

JANUARY 30, 2024

ETL (Extract, Transform, Load) Processes: ETL tools are designed for the extraction, transformation, and loading of data from one location to another. This stage empowers organizations to combine an array of data types, paving the way for comprehensive data mining and business intelligence.

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Monte Carlo

OCTOBER 8, 2024

ETL Tools – The best way to make sure that data stays high-quality is to inspect it as early as possible. Business Intelligence Tools – Aside from pretty Excel Sheets, these interactive graphs will be the real way you communicate your findings to the executives and other stakeholders you are working with.

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Data Finance Data Governance Government 52

Edureka

JULY 16, 2024

Redshift works out of the box with the majority of popular BI, reporting, extract, transform, and load (ETL) tools and is a very flexible solution that can handle anything from simple to very complex data analysis.Now, in this blog, we will walk you through one of the most potent Data warehousing systems that ever existed—Amazon Redshift.

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AWS Data Warehouse Amazon Web Services Business Intelligence 40

Knowledge Hut

SEPTEMBER 21, 2023

LPA - INR 20 LPA Data Engineer ETL tools, data pipelines, SQL, data warehousing INR 3.91 LPA - INR 20 LPA BI Developer ETL, data visualization, Business Intelligence tools INR 4.07 LPA - INR 20 LPA Data Engineer ETL tools, data pipelines, SQL, data warehousing INR 3.91 LPA - INR 6.14

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Cloud Engineering Cloud Computing Certification 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS.

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Data Lake Architecture IT Amazon Web Services 52

AltexSoft

JANUARY 26, 2022

It is a big plus if your future analytics engineer has hands-on experience with tools for building data pipelines. The list may include data warehouses like Snowflake, Amazon Redshift, and Google BigQuery; ETL tools like AWS Glue, Talend, or others; Business Intelligence tools like Tableau , Looker, or equivalent.

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Engineering Software Engineer Software Engineering Data Warehouse 59

AltexSoft

OCTOBER 8, 2021

Xplenty is a cloud-based , low-code data transformation and integration platform that helps users organize and prepare their data for advanced business intelligence and analytical purposes. Xplenty will serve companies that don’t have extensive data engineering expertise in-house and are in search of a mature easy-to-use ETL tool.

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ProjectPro

FEBRUARY 18, 2022

ETL pipelines help data scientists to prepare data for analytics and business intelligence. You'll use Hive as an ETL tool, i.e., create several ETL pipelines for storing the processed data in a table using Hive. Data from multiple systems (CRMs, social media platforms , Web reporting, etc.)

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Project AWS Kafka Healthcare 52

Monte Carlo

AUGUST 9, 2023

From business intelligence to machine learning, reliable data is the lifeblood of your data products. In addition to manually writing your SQL rules, SQL tests are also available natively within certain ETL tools like the dbt source freshness command. million per year. That goes double for generative AI.)

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Finance SQL High Quality Data Data 52

phData: Data Engineering

MAY 11, 2023

Zero-Code Development Life Cycle (ZDLC) is the recognition that Matillion for Snowflake is a new breed of ETL tool that allows a full spectrum of users and use cases to operate concurrently on the same platform for the same organization. What is Zero-Code Development Life Cycle (ZDLC)?

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ProjectPro

SEPTEMBER 26, 2021

ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements. You can also highlight your previous experience with Business Intelligence (BI) solutions and applications in customer data analytics, industry trend analytics, etc.

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Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

SEPTEMBER 10, 2021

Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. So, why does anyone need to integrate data in the first place?

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Data Integration Data Consolidation Data Warehouse BI 52

ProjectPro

DECEMBER 7, 2021

Data Pipeline Example Suppose you are running an eCommerce business and want to use data for quick insights or offer personalizations effectively. In that case, you will be required to build numerous pipelines for reporting, business intelligence, sentiment analysis , and recommendation systems.

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Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. PolyBase uses relatively easy T-SQL queries to import data from Hadoop, Azure Blob Storage, or Azure Data Lake Store without any third-party ETL tool.

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