Applied Data Science

AUGUST 2, 2021

Team Building the right data science team is complex. With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs.

Data Science 130

Data Science Data Scientist ML ML 130

Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. What will our digital future look like?

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

IBM Journey to AI blog

MARCH 14, 2024

Db2 Warehouse fully supports open formats such as Parquet, Avro, ORC and Iceberg table format to share data and extract new insights across teams without duplication or additional extract, transform, load (ETL). This allows you to scale all analytics and AI workloads across the enterprise with trusted data. 

AWS 93

AWS Database ETL AI 93

Dataconomy

SEPTEMBER 4, 2023

Define data ownership, access controls, and data management processes to maintain the integrity and confidentiality of your data. Data integration: Integrate data from various sources into a centralized cloud data warehouse or data lake. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

AUGUST 31, 2023

Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. The following blog will provide you with complete information and in-depth understanding on what is data profiling and its benefits and the various tools used in the method.

Data Profiling 52

Data Profiling ETL Data Quality Data Wrangling 52

Pickl AI

MARCH 3, 2025

Certification and Continuous Learning Pursue certifications like Microsoft Certified Data Analyst Associate, Tableau Certified Data Analyst, or Certified Business Intelligence Professional (CBIP) to demonstrate your expertise. Frequently Asked Questions Which Tools Are Commonly Used by Business Intelligence Analysts?

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Warehousing: Amazon Redshift, Google BigQuery, etc. Read more to know.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 4, 2024

Understanding ODBC’s operation is essential for developers and Data Analysts seeking to leverage its capabilities effectively. Explanation of the ODBC Communication Process The ODBC communication process involves several key components that facilitate data exchange.

Database 52

Database SQL ETL Azure 52

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Reverse ETL tools. Data orchestration tools. A Note on the Shift from ETL to ELT. Data scientists.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

JUNE 28, 2023

Limited Scalability : The process is not workable for handling large volumes of data. ETL (Extract, Transform, Load) ETL is a widely used data integration technique. Pros Automation: ETL tools automate the extraction, transformation, and loading processes. Thereby, improving data quality and consistency.

Data Mining 52

Data Mining Data Mining Data Mining ETL 52

Smart Data Collective

OCTOBER 17, 2022

Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. All of this data might be overwhelming for engineers who struggle to pull in data sets quickly enough.

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

Alation

MAY 24, 2022

The Lineage & Dataflow API is a good example enabling customers to add ETL transformation logic to the lineage graph. The Open Connector Framework SDK enables engineers to custom-build data source connectors , which are indexed by Alation. Open Data Quality Initiative.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

AWS Machine Learning Blog

AUGUST 4, 2023

Benefits of the SageMaker and Data Cloud Einstein Studio integration Here’s how using SageMaker with Einstein Studio in Salesforce Data Cloud can help businesses: It provides the ability to connect custom and generative AI models to Einstein Studio for various use cases, such as lead conversion, case classification, and sentiment analysis.

AWS 84

AWS ML ML AI 84

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

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. Jason: What’s the value of using dbt with the data catalog ?

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

Pickl AI

JULY 3, 2023

Gain hands-on experience with data integration: Learn about data integration techniques to combine data from various sources, such as databases, spreadsheets, and APIs. Is BI developer same as data analyst? The post Who is a BI Developer: Role, Responsibilities & Skills appeared first on Pickl AI.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

SQL 98

SQL Data Scientist Database Data Science 98

Dataconomy

FEBRUARY 23, 2023

They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making.

Big Data 91

Big Data Big Data Data Engineer Data Engineering 91

ODSC - Open Data Science

OCTOBER 18, 2024

Set specific, measurable targets Data science goals to “increase sales” lack the clarity needed to evaluate success and secure ongoing funding. Audit existing data assets Inventory internal datasets, ETL capabilities, past analytical initiatives, and available skill sets.

Data Science 52

Data Science Data Scientist Analytics Analytics 52

phData

MARCH 1, 2024

There’s no need for developers or analysts to manually adjust table schemas or modify ETL (Extract, Transform, Load) processes whenever the source data structure changes. Time Efficiency – The automated schema detection and evolution features contribute to faster data availability.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 15, 2023

What Is a Data Warehouse? On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

phData

JULY 11, 2023

Power BI Datamarts provides a low/no code experience directly within Power BI Service that allows developers to ingest data from disparate sources, perform ETL tasks with Power Query, and load data into a fully managed Azure SQL database. Looking to accelerate your data journey with Snowflake and Power BI?

Power BI 40

Power BI SQL Azure ETL 40

phData

NOVEMBER 11, 2024

These tasks often go through several stages, similar to the ETL process (Extract, Transform, Load). This means data has to be pulled from different sources (such as systems, databases, and spreadsheets), transformed (cleaned up and prepped for analysis), and then loaded back into its original spot or somewhere else when it’s done.

Data Analysis 52

Data Analysis Data Analysis Database Analytics 52

Tableau

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Tableau 97

Tableau Database Analytics Analytics 97

Pickl AI

FEBRUARY 4, 2024

Is Alteryx an ETL tool? Yes, Alteryx is an ETL (Extract, Transform, Load) tool. It excels in data preparation and analytics, allowing users to extract data from various sources, transform it efficiently. Is Alteryx similar to Tableau?

Data Preparation 52

Data Preparation Tableau Data Visualization SQL 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Another week, another incredible conference!

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52

AWS Machine Learning Blog

JANUARY 6, 2023

TR used AWS Glue DataBrew and AWS Batch jobs to perform the extract, transform, and load (ETL) jobs in the ML pipelines, and SageMaker along with Amazon Personalize to tailor the recommendations. TR wanted to take advantage of AWS managed services where possible to simplify operations and reduce undifferentiated heavy lifting.

AWS 77

AWS Data Warehouse ML ML 77

phData

SEPTEMBER 4, 2024

ThoughSpot can easily connect to top cloud data platforms such as Snowflake AI Data Cloud , Oracle, SAP HANA, and Google BigQuery. In that case, ThoughtSpot also leverages ELT/ETL tools and Mode, a code-first AI-powered data solution that gives data teams everything they need to go from raw data to the modern BI stack.

Analytics 52

Analytics Analytics SQL ETL 52

Pickl AI

OCTOBER 19, 2023

Data Validation Set up validation rules to ensure that data entering the warehouse meets predefined criteria. Data Governance Establish data governance policies to define roles, responsibilities, and data ownership within your organization.

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

Pickl AI

DECEMBER 10, 2024

A unified data fabric also enhances data security by enabling centralised governance and compliance management across all platforms. Automated Data Integration and ETL Tools The rise of no-code and low-code tools is transforming data integration and Extract, Transform, and Load (ETL) processes.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Pickl AI

DECEMBER 16, 2024

The objective is to guide businesses, Data Analysts, and decision-makers in choosing the right tool for their needs. Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals. Power BI : Provides dynamic dashboards and reporting tools.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

phData

JULY 10, 2024

It is important in business to be able to manage and analyze data well. Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. These tools allow users to handle more advanced data tasks and analyses.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Alation

JANUARY 25, 2022

These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Webinar: Five Must-Haves for a Data Catalog. At its best, a data catalog should empower data analysts, scientists, and anyone curious about data with tools to explore and understand it.

DataOps 52

DataOps SQL ML ML 52

Flipboard

DECEMBER 4, 2024

The Data Warehouse Admin has an IAM admin role and manages databases in Amazon Redshift. The Data Engineer has an IAM ETL role and runs the extract, transform, and load (ETL) pipeline using Spark to populate the Lakehouse catalog on RMS.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

Pickl AI

JULY 18, 2024

Top 50+ Data Analyst Interview Questions & Answers. SQL Interview Questions for Data Analyst 2023. Then, I would use tools like `mongoimport` and `mongoexport` or custom ETL scripts to transfer the data. More to discover: Top 35 Data Analyst Interview Questions and Answers 2023.

Database 52

Database SQL Data Analyst Database Administration 52