Astera

APRIL 10, 2023

The world of big data can unravel countless possibilities. From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. What is Big Data Integration? Why Does Big Data Integration Matter?

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 52

Domo

MAY 24, 2021

You need to ensure that data flow processes can run at the speed your organization requires. To get data in the hands of business users quickly, you must integrate all your data sources (clouds, applications, servers, existing data warehousing, big data analytics platforms, etc.) Conclusion.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Tableau

MARCH 30, 2021

With Tableau’s new and updated Azure connectivity you can gain more value from your data investments by adding seamless and powerful analytics to your Azure stack. Azure Data Lake Storage Gen2. Data Lakes have become a staple of enterprise data strategies. They offer a low-cost, big data storage solution.

Data Warehouse 101

Data Warehouse Big Data Product Management Product Management 101

Domo

MARCH 2, 2021

To learn more about the benefits of using Domo and Snowflake together, stay tuned for posts two and three in this series—or download our whitepaper Accelerating the Data Lifecycle now. The post Domo and Snowflake, Part 1: Data Ingestion Made Easy first appeared on Blog. To see Domo for Snowflake in action, click here.

Data Architecture 89

Data Architecture Data Warehouse Big Data 89

Astera

MAY 9, 2023

Automated data processing solutions, such as computer software programming, play a significant role in this. It can help turn large amounts of data, including big data, into meaningful insights for quality management and decision-making. Interested in Learning More About Cloud Data Integration?

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MARCH 15, 2023

Big data has taken the world by storm, and as enterprises worldwide scramble to make sense of it, it continues to hit hard. Enter big data file formats , such as Avro, Feather, Parquet , ORC, etc. Enter big data file formats , such as Avro, Feather, Parquet , ORC, etc. What is Apache Parquet?

Big Data 52

Big Data Data Quality Data Management 52

Data Pine

MAY 27, 2020

It’s possible to write an analytical report using a spreadsheet, whitepaper, or a simple Word document or file. It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. But these more traditional report-writing methods are usually clunky and time-consuming.

Supply Chain 98

Supply Chain Healthcare Visualization Digital 98

Domo

JULY 10, 2014

Needed are BI tools that easily (ease of use is the key) expand beyond the core data warehouse and allow end-users to integrate a myriad of data sources into the BI conversation without requiring timely ETL conversions and integrations. For more details about the problem as well as the solution, check out the full whitepaper, here.

Data Warehouse 52

Data Warehouse Big Data 52

Tableau

MARCH 29, 2021

With Tableau’s new and updated Azure connectivity you can gain more value from your data investments by adding seamless and powerful analytics to your Azure stack. Azure Data Lake Storage Gen2. Data Lakes have become a staple of enterprise data strategies. They offer a low-cost, big data storage solution.

Data Warehouse 52

Data Warehouse Big Data Product Management Product Management 52

Domo

JULY 15, 2014

To do so, you need to allow the user to rope in data from spreadsheets, a custom database, a cloud-based application—wherever it sits—so that decisions are made from all the data you have. For more details about the pros and cons of data warehousing and BI, get the full whitepaper, here.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Visualization 52

Astera

APRIL 13, 2023

It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. Let’s discuss what is a data warehouse, understand its processes, concepts, and benefits, and explore different types of data warehousing.

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Astera

NOVEMBER 14, 2023

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals. However, the recommended way is to opt for a unified platform that checks all these boxes to meet your data warehousing needs.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Data Pine

DECEMBER 11, 2019

But, as the landscape becomes competitive with more SaaS startups competing for the attention of savvy businesses like yours, there will be far more SaaS resources available in the form of videos, interactive apps, blog content, eBooks, and digestible whitepapers.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Actian

JANUARY 14, 2020

Parallel processing is one of the biggest differentiators between cloud data warehouse solutions. If you process data in a linear fashion (one record at a time), big data sets take time to process. There are a lot of myths out there about cloud data warehouses, and this was just one of them.

Data Warehouse 40

Data Warehouse Big Data Data Analytics Data Analytics 40

Astera

JANUARY 2, 2024

Craft an Effective Data Management Strategy A robust data management strategy is a prerequisite to ensuring the seamless and secure handling of information across the organization. Download this whitepaper a roadmap to create an end-to-end data management strategy for your business.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Cprime

SEPTEMBER 13, 2023

Interestingly, the rise of generative AI can be likened to the “big data” buzz of 2011, indicating its transformative potential. For instance, if your marketing team is working on a new campaign, ChatGPT can generate initial drafts for email copy, social media posts, or even whitepapers.

Innovation 52

Innovation Data Security Healthcare Finance 52

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The fact that the cloud data warehouse market is expected to reach  $3.5

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Domo

AUGUST 2, 2018

To be truly successful, marketers need to be able to access a platform that allows them to search for the one truth amongst all the data; centralising and unifying data on one analytics dashboard, and aligning marketing KPIs to overall business KPIs, ensures that the big picture goals are always the driving force.

Big Data 40

Big Data Business Intelligence Business Intelligence 40

Domo

JULY 28, 2014

Those insights should be shared across departments if the enterprise is to get the fullest value from big data. As another example, let’s say you’re tapping a new source of big data and, for the first time, you are able to reliably calculate customer sentiment. Like this post?

Big Data 52

Big Data Business Intelligence Business Intelligence 52

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Download Free Whitepaper 2.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52