Apiumhub

APRIL 6, 2021

There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.

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Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

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Gorilla Logic

NOVEMBER 21, 2019

First, What Is Business Intelligence? Some people think that business intelligence is just retrieving information from a database, and creating reports and dashboards. At Gorilla Logic, we see business intelligence as much more than that. What’s the Big Deal about Big Data and Business Intelligence?

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Perficient

FEBRUARY 16, 2023

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks.

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Dataiku

SEPTEMBER 18, 2023

In the realm of data preparation and business intelligence (BI), the collaboration between Dataiku ( a Google Cloud Ready - Cloud SQL Partner ) and Google Cloud SQL presents a transformative opportunity for organizations seeking to optimize their data workflows and glean actionable insights.

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QBurst

MARCH 13, 2019

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. The post IoT Analytics: The New Frontier in Business Intelligence appeared first on QBurst - Blog.

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Business Intelligence IoT Analytics Data Engineering 67

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. million), among others.

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Data Virtualization

JANUARY 18, 2024

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data?

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InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. These systems ensure high availability and facilitate the storage of massive data volumes.

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Dzone - DevOps

SEPTEMBER 20, 2023

In the ever-evolving world of data analytics , choosing the right tools can make all the difference in harnessing the power of data for your organization. In this blog, we'll delve deeper into the comparison between these platforms to help you make an informed choice for your data analytics needs.

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Hacker Earth Developers Blog

JUNE 26, 2019

Data science is one of the most sought after jobs of the 21st century. But how do you hire a data scientist who fits the bill? According to Firstround.com , in a competitive field like data science, strong candidates often receive 3 or more offers, so success rates of hiring are commonly below 50%. Data Science.

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RapidValue

DECEMBER 7, 2020

With the addition of Oracle Analytics Cloud (OAC) , Oracle Cloud now has a PaaS solution that can manage all your data analytics requirements within one tool. OAC offers analytics and reporting, data visualizations, data modeling, self-service analytics, big data analytics, machine learning, and predictive analytics under a single license.

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DevOps.com

OCTOBER 29, 2019

In the age of big data, businesses are inundated with data points. While they know there’s an abundance of valuable resources available to them, making sense of this data to derive actionable insights is often still a challenge.

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TechCrunch

AUGUST 4, 2022

They wanted an underlying database that could process database data much faster than simply taking it raw from the data source, whether that was Snowflake, Databricks, BigQuery or something else. And they wanted to simplify the dashboard itself, taking away a lot of the design decisions that often challenge data analysts.

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Datavail

SEPTEMBER 1, 2021

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Low total cost of ownership (TCO).

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Apiumhub

APRIL 8, 2021

With the Data Science industry continually evolving, there can be a lot to keep up with. We have created a list of people to help you eliminate unnecessary noise while staying connected to the Data Science community. Top Data Science experts you should know about. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton.

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Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

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TechCrunch

MAY 2, 2022

. “More than 80% of the world’s data is unstructured. Unstructured data requires a hyper-manual process to structure data at scale, consuming expensive data science resources throughout an organization,” Aroomoogan told TechCrunch via email. Image Credits: Accern.

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Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

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Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges.

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Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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TIBCO - Connected Intelligence

JULY 30, 2021

Every year, The Wisdom of Crowds ® Business Intelligence Market Study analyzes top vendors in the market and provides consumers with valuable information on today’s top technology solutions. Survey of Business Intelligence Market. Dive into Detailed Models and Vendor Ratings.

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Business Intelligence Study Marketing Survey 49

Perficient

APRIL 1, 2024

Background Microsoft Fabric is emerging as one-stop solution to aspects revolving around the data. Before the introduction of Fabric, Power BI faced few limitations related to data ingestion, since Power Query offers limited ETL & data transformation functionality. Terminologies Used Below are few terms used in the blog.

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Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

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Cloudera

SEPTEMBER 23, 2022

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). Modern data lakehouses are typically deployed in the cloud. Your data can grow infinitely.

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Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. With Airflow based pipelines in DE, customers can now specify their data pipeline using a simple python configuration file.

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Perficient

MAY 15, 2023

ETL is a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.), and finally loads the data into the Data Warehouse system. What is a data warehouse (DW)? Informatica is a data integration tool based on ETL architecture.

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Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

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Tandem

AUGUST 9, 2023

The journey to data maturity begins with the recognition of the vast opportunities hidden within your organization’s data. Unlocking this potential requires a transformation in the way your organization accesses, analyzes, and utilizes data. Three Signs that Your Organization’s Data is Locked in Silos 1.

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Datavail

SEPTEMBER 15, 2022

Business intelligence (BI) refers to collecting and analyzing data produced by your operations. Analyzing business data allows you to identify insights that will support business decisions that produce growth. How Best Practices for Data Governance Support Business Intelligence.

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Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Adding More Flexibility to the Data.

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Datavail

APRIL 15, 2020

Data strategy, data architecture, and data governance: these are the first three steps in building a solid data foundation for your business. In this post, we’ll talk about the final piece of the puzzle: data management and integration.

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Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

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Perficient

FEBRUARY 5, 2023

Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. It converts data from different sources to build interactive Dashboard and Business Intelligence reports. You can preview the data and download the data.

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Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

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Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

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DevOps.com

DECEMBER 19, 2019

According to Gartner, 85% of big data initiatives end in failure. In 2020, organizations are out of budget and operational runway, and need to start executing and getting the big data recipe right. It is not just about big data; it is about using data differently.

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