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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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FINRA CIO Steve Randich pushes the public cloud forward

CIO Business Intelligence

Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. Gartner maintains, for example, that roughly 80% to 90% of an organization’s data is largely semi-structured or unstructured and is rarely used in AI cloud applications.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Fact: IBM built the world’s first data warehouse in the 1980’s. 2013: Google launches Google Compute Engine (IaaS), its own version of EC2. Microsoft also releases Power BI, a data visualization and business intelligence tool. Data lakes or data lake houses alone cannot solve the efficiency problem.

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Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. The team also built a centralized data lake on AWS, Databricks, and Power BI. in 2016, and BD Advanced Bioprocessing in 2018. Catalyzing change.

IT 103
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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. A typical data warehouse takes around 6 months to be built and requires a skilled IT team to ensure smooth ETL and workflow performance.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. Omid Vahdaty, Jutomate.

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The Future Belongs to Purpose-Built Apps. We're Betting On It.

Juice Analytics

But as you extend to the outer edges of your organization, data becomes distracting noise, TPS reports , and little-used business intelligence tools. Three barriers to democratizing data The struggle of getting data to more people in more useful ways boils down to a few unsolved problems. from way back in 2013).

IT 54