Remove Dashboards Remove Data Analytics Remove Data Processing Remove Data Warehouse
article thumbnail

Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

article thumbnail

Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This data is leveraged by departments throughout the organization and is essential to their business operations. As business processes grew more complex, the data transparency and visibility suffered.

article thumbnail

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. Cross-account access has been set up between S3 buckets in Account A with resources in Account B to be able to load and unload data. role_arn={5}&database={6}&region={7}'.format(conn_type,

Metadata 106
article thumbnail

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

article thumbnail

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Fault tolerance is built in. Any hardware failures are automatically replaced.

article thumbnail

Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

AWS Big Data

Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results.