Remove data sql sql-server-list-tables-how-to-show-all-tables
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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.

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Create Modern SQL Dashboards With Professional Tools & Software

datapine

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

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Renaming Tables in SQL Servers is Vital for Data-Driven Entities

Smart Data Collective

A growing number of businesses are discovering the importance of big data. Thirty-two percent of businesses have a formal data strategy and this number is rising year after year. Unfortunately, they often have to deal with a variety of challenges when they manage their data. One of them is knowing how to backup your data.

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Big Data Strategies Hinge on Using Drop Tables in SQL Servers

Smart Data Collective

Are you running a company with a focus on big data? One survey showed that 32% of companies have a formal big data strategy. These companies tend to be far more profitable than businesses that do not utilize big data. However, some companies have to learn the hard way that desiring to utilize big data is not enough.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud

AWS Big Data

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

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Orchestrate Amazon EMR Serverless Spark jobs with Amazon MWAA, and data validation using Amazon Athena

AWS Big Data

As data engineering becomes increasingly complex, organizations are looking for new ways to streamline their data processing workflows. Many data engineers today use Apache Airflow to build, schedule, and monitor their data pipelines. You can use standard SQL to interact with data.